From 1010006e4aac97e2e9a64b29065ce590b80711cc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nenad=20Mali=C4=87?=
 <4789424+nenadmalic@users.noreply.github.com>
Date: Tue, 23 Jun 2026 17:40:35 +0200
Subject: [PATCH 1/5] feat: redesign customer story cards, detail template &
 stories section

- New Card, FeaturedCarousel, Sidebar and KpiRotator components
- Redesigned story detail template (KPIs, pull-quote, MDC body)
- Add per-story logo icons (icon.svg) and update story content
- Fix story bodies rendering blank: flatten logoIcon to .src in the
  detail route so the StoryDetail island can hydrate
- Industry badges + sidebar-logo styling tuned for light/dark and
  image backgrounds
---
 src/components/MDCParserAndRenderer.vue       |  32 +-
 src/components/stories/Card.vue               |  58 +-
 src/components/stories/FeaturedCarousel.vue   | 503 ++++++++++++++++++
 src/components/stories/KpiRotator.vue         | 142 +++++
 src/components/stories/Sidebar.vue            |   6 +-
 src/components/stories/StoriesList.vue        |   4 +-
 src/components/stories/StoryGallery.astro     | 277 +---------
 src/content.config.ts                         |   2 +
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   7 +
 .../index.md                                  |   4 +-
 .../icon.svg                                  |  10 +
 .../index.md                                  |   4 +-
 .../icon.svg                                  |  50 ++
 .../index.md                                  |   4 +-
 .../icon.svg                                  |  28 +
 .../index.md                                  |   4 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   3 +
 .../index.md                                  |   4 +-
 .../icon.svg                                  |  14 +
 .../index.md                                  |   4 +-
 .../government-soc-team/index.md              |   3 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   9 +
 .../index.md                                  |   4 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   9 +
 .../index.md                                  |   4 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   3 +
 .../index.md                                  |   4 +-
 .../index.md                                  |   3 +-
 .../index.md                                  |   3 +-
 .../scaling-big-data-operations/icon.svg      |   5 +
 .../scaling-big-data-operations/index.md      |   4 +-
 .../index.md                                  |   5 +-
 .../logo.svg                                  |   2 +-
 .../index.md                                  |   3 +-
 .../icon.svg                                  |   9 +
 .../index.md                                  |   4 +-
 .../icon.svg                                  |  10 +
 .../index.md                                  |   4 +-
 src/pages/customers/[slug].astro              |   2 +
 src/pages/customers/index.astro               |  10 +-
 src/type.d.ts                                 |   2 +
 53 files changed, 955 insertions(+), 343 deletions(-)
 create mode 100644 src/components/stories/FeaturedCarousel.vue
 create mode 100644 src/components/stories/KpiRotator.vue
 create mode 100644 src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/icon.svg
 create mode 100644 src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/scaling-big-data-operations/icon.svg
 create mode 100644 src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/icon.svg

diff --git a/src/components/MDCParserAndRenderer.vue b/src/components/MDCParserAndRenderer.vue
index 24e5398d3d6..f55d2171405 100644
--- a/src/components/MDCParserAndRenderer.vue
+++ b/src/components/MDCParserAndRenderer.vue
@@ -6,6 +6,9 @@
         :key="content"
         class="mdc-renderer"
     />
+    <div v-else-if="parseError" class="parse-error">
+        <strong>MDC parse error:</strong> {{ parseError }}
+    </div>
     <div v-else class="skeleton"></div>
 </template>
 
@@ -18,13 +21,25 @@
     }>()
 
     const docAst = ref<any>()
+    const parseError = ref<string>()
 
     async function parseContent() {
-        const parse = await getMDCParser()
-        if (!props.content) {
-            throw new Error("No content provided to MDCParserAndRenderer.vue")
+        try {
+            const parse = await getMDCParser()
+            if (!props.content) {
+                throw new Error("No content provided to MDCParserAndRenderer.vue")
+            }
+            const result = await parse(props.content)
+            if (!result?.body) {
+                parseError.value = `Parser returned empty body. AST keys: ${Object.keys(result ?? {}).join(", ")}`
+                console.error("[MDCParserAndRenderer] empty body:", result)
+            } else {
+                docAst.value = result
+            }
+        } catch (e: any) {
+            parseError.value = e?.message ?? String(e)
+            console.error("[MDCParserAndRenderer] parse failed:", e)
         }
-        docAst.value = await parse(props.content)
     }
 
     onMounted(async () => {
@@ -79,6 +94,15 @@
         }
     }
 
+    .parse-error {
+        background: #fee;
+        border: 1px solid #f88;
+        border-radius: 0.5rem;
+        padding: 1rem;
+        color: #c00;
+        font-size: 0.875rem;
+    }
+
     .skeleton {
         display: inline-block;
         position: relative;
diff --git a/src/components/stories/Card.vue b/src/components/stories/Card.vue
index 3ab272d867a..2966ae1d399 100644
--- a/src/components/stories/Card.vue
+++ b/src/components/stories/Card.vue
@@ -5,8 +5,8 @@
         <div class="card-header">
             <div class="card-logo">
                 <img
-                    v-if="story.logo"
-                    :src="story.logo"
+                    v-if="story.logoIcon || story.logo"
+                    :src="story.logoIcon ?? story.logo"
                     :alt="displayName"
                     loading="lazy"
                 />
@@ -18,12 +18,11 @@
             </div>
         </div>
 
-        <div v-if="kpis.length" class="card-kpis">
-            <div v-for="(kpi, i) in kpis" :key="i" class="card-kpi">
-                <span class="card-kpi-value">{{ kpi.value }}</span>
-                <span class="card-kpi-label">{{ kpi.label }}</span>
-            </div>
-        </div>
+        <p v-if="story.useCase" class="card-use-case">
+            <span class="card-use-case-label">→</span> {{ story.useCase }}
+        </p>
+
+        <KpiRotator :kpis="kpis" />
 
         <div class="card-footer">
             <span class="card-plugins-label">Plugins Used :</span>
@@ -43,6 +42,7 @@
 <script setup lang="ts">
     import { computed } from "vue"
     import TaskIcon from "~/components/common/TaskIcon.vue"
+    import KpiRotator from "~/components/stories/KpiRotator.vue"
 
     const props = defineProps<{
         story: Story
@@ -100,8 +100,8 @@
         margin-bottom: 0.75rem;
         font-size: 0.625rem;
         font-weight: 600;
-        color: var(--ks-content-link);
-        background: rgba(99, 27, 255, 0.08);
+        color: #8405ff;
+        background: #ece7f8;
         border: 1px solid rgba(99, 27, 255, 0.15);
         border-radius: 999px;
         padding: 0.2rem 0.625rem;
@@ -162,38 +162,24 @@
         color: var(--ks-content-secondary);
         line-height: 1.5;
         margin: 0;
+        min-height: calc(0.8125rem * 1.5 * 3);
     }
 
-    .card-kpis {
-        display: grid;
-        grid-template-columns: repeat(2, 1fr);
+    .card-use-case {
+        font-size: 0.8125rem;
+        line-height: 1.5;
+        color: var(--ks-content-secondary);
         border-top: 1px solid var(--ks-border-secondary);
-        border-bottom: 1px solid var(--ks-border-secondary);
-        margin-top: 1.25rem;
-    }
-
-    .card-kpi {
-        display: flex;
-        flex-direction: column;
-        gap: 0.15rem;
+        margin: 1.25rem 0 0;
         padding: 1rem 0;
-
-        &:nth-child(odd) {
-            padding-right: 1.5rem;
-        }
+        min-height: calc(0.8125rem * 1.5 * 3 + 2rem);
     }
 
-    .card-kpi-value {
-        font-size: 1rem;
-        font-weight: 800;
-        color: var(--ks-content-primary);
-        line-height: 1.3;
-    }
-
-    .card-kpi-label {
-        font-size: 0.8125rem;
-        color: var(--ks-content-secondary);
-        line-height: 1.4;
+    .card-use-case-label {
+        font-size: 0.6875rem;
+        font-weight: 600;
+        color: var(--ks-content-tertiary);
+        white-space: nowrap;
     }
 
     .card-footer {
diff --git a/src/components/stories/FeaturedCarousel.vue b/src/components/stories/FeaturedCarousel.vue
new file mode 100644
index 00000000000..cb79e6b9660
--- /dev/null
+++ b/src/components/stories/FeaturedCarousel.vue
@@ -0,0 +1,503 @@
+<script setup lang="ts">
+import { ref, onMounted, onUnmounted } from "vue"
+import TaskIcon from "~/components/common/TaskIcon.vue"
+import KpiRotator from "~/components/stories/KpiRotator.vue"
+
+interface Kpi {
+    value: string
+    label: string
+}
+
+interface StorySlide {
+    slug: string
+    heroImage: string
+    logo?: string
+    logoDark?: string
+    logoIcon?: string
+    companyName: string
+    tagline?: string
+    industry: string
+    useCase?: string
+    quote: string
+    quotePerson: string
+    quotePersonTitle?: string
+    kpis: Kpi[]
+    tasks: string[]
+}
+
+const props = defineProps<{ stories: StorySlide[] }>()
+
+const trackRef = ref<HTMLElement | null>(null)
+const currentIdx = ref(0)
+
+const GAP = 16
+
+function cardWidth(): number {
+    const el = trackRef.value?.querySelector(".fc-card") as HTMLElement | null
+    return el?.offsetWidth ?? 0
+}
+
+function goTo(i: number) {
+    if (!trackRef.value) return
+    trackRef.value.scrollTo({ left: i * (cardWidth() + GAP), behavior: "smooth" })
+    currentIdx.value = i
+}
+
+function prev() { goTo(Math.max(0, currentIdx.value - 1)) }
+function next() { goTo(Math.min(props.stories.length - 1, currentIdx.value + 1)) }
+
+function onScroll() {
+    const w = cardWidth()
+    if (!trackRef.value || w === 0) return
+    currentIdx.value = Math.round(trackRef.value.scrollLeft / (w + GAP))
+}
+
+let autoTimer: ReturnType<typeof setInterval> | null = null
+
+function startAuto() {
+    if (autoTimer) return
+    autoTimer = setInterval(() => {
+        goTo((currentIdx.value + 1) % props.stories.length)
+    }, 12000)
+}
+
+function stopAuto() {
+    if (autoTimer) { clearInterval(autoTimer); autoTimer = null }
+}
+
+let ro: ResizeObserver
+onMounted(() => {
+    trackRef.value?.addEventListener("scroll", onScroll, { passive: true })
+    ro = new ResizeObserver(() => {
+        if (trackRef.value) trackRef.value.scrollLeft = 0
+        currentIdx.value = 0
+    })
+    if (trackRef.value) ro.observe(trackRef.value)
+})
+onUnmounted(() => {
+    trackRef.value?.removeEventListener("scroll", onScroll)
+    ro?.disconnect()
+})
+</script>
+
+<template>
+    <div class="fc-root">
+        <div class="fc-carousel-row">
+        <button
+            class="fc-arrow"
+            @click="prev"
+            :disabled="currentIdx === 0"
+            aria-label="Previous story"
+        >
+            <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round">
+                <polyline points="15 18 9 12 15 6" />
+            </svg>
+        </button>
+
+        <div class="fc-track" ref="trackRef">
+            <a
+                v-for="story in stories"
+                :key="story.slug"
+                :href="`/customers/${story.slug}`"
+                class="fc-card"
+            >
+                <div class="fc-card-image">
+                    <img :src="story.heroImage" :alt="story.companyName" loading="eager" />
+                    <span class="fc-industry">{{ story.industry }}</span>
+                    <div class="fc-header">
+                        <div class="fc-logo">
+                            <img
+                                v-if="story.logoIcon || story.logo"
+                                :src="story.logoIcon ?? story.logo"
+                                :alt="story.companyName"
+                                loading="eager"
+                            />
+                            <span v-else class="fc-initial">
+                                {{ story.companyName.charAt(0).toUpperCase() }}
+                            </span>
+                        </div>
+                        <div class="fc-info">
+                            <span class="fc-company">{{ story.companyName }}</span>
+                            <p v-if="story.tagline" class="fc-tagline">{{ story.tagline }}</p>
+                        </div>
+                    </div>
+                </div>
+
+                <div class="fc-card-body">
+                    <blockquote class="fc-quote">
+                        <p>{{ story.quote }}</p>
+                        <cite>{{ story.quotePerson }}<span v-if="story.quotePersonTitle">, {{ story.quotePersonTitle }}</span></cite>
+                    </blockquote>
+
+                    <p v-if="story.useCase" class="fc-use-case">
+                        <span class="fc-use-case-label">→</span> {{ story.useCase }}
+                    </p>
+
+                    <KpiRotator :kpis="story.kpis" />
+
+                    <div v-if="story.tasks && story.tasks.length" class="fc-footer">
+                        <span class="fc-plugins-label">Plugins Used :</span>
+                        <div class="fc-tasks">
+                            <div
+                                v-for="task in story.tasks.slice(0, 4)"
+                                :key="task"
+                                class="fc-task-icon-wrap"
+                            >
+                                <TaskIcon :cls="task" />
+                            </div>
+                        </div>
+                    </div>
+                </div>
+            </a>
+        </div>
+
+        <button
+            class="fc-arrow"
+            @click="next"
+            :disabled="currentIdx >= stories.length - 1"
+            aria-label="Next story"
+        >
+            <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round">
+                <polyline points="9 18 15 12 9 6" />
+            </svg>
+        </button>
+        </div>
+
+        <div class="fc-nav">
+            <div class="fc-dots">
+                <button
+                    v-for="(_, i) in stories"
+                    :key="i"
+                    class="fc-dot"
+                    :class="{ active: i === currentIdx }"
+                    @click="goTo(i)"
+                    :aria-label="`Go to story ${i + 1}`"
+                />
+            </div>
+        </div>
+    </div>
+</template>
+
+<style scoped>
+/* ── track ── */
+.fc-carousel-row {
+    display: flex;
+    align-items: center;
+    gap: 0.75rem;
+}
+
+.fc-track {
+    flex: 1;
+    min-width: 0;
+}
+
+.fc-track {
+    display: flex;
+    overflow-x: auto;
+    scroll-snap-type: x mandatory;
+    scrollbar-width: none;
+    -webkit-overflow-scrolling: touch;
+    gap: 1rem;
+}
+
+.fc-track::-webkit-scrollbar {
+    display: none;
+}
+
+/* desktop: 3 cards visible */
+.fc-card {
+    flex: 0 0 calc((100% - 2rem) / 3);
+    scroll-snap-align: start;
+}
+
+/* tablet: 2 cards visible */
+@media (max-width: 991px) {
+    .fc-card {
+        flex: 0 0 calc(50% - 0.5rem);
+    }
+}
+
+/* mobile: 1 card visible */
+@media (max-width: 767px) {
+    .fc-card {
+        flex: 0 0 100%;
+    }
+}
+
+/* ── card shell ── */
+.fc-card {
+    display: flex;
+    flex-direction: column;
+    border-radius: 1rem;
+    border: 1px solid var(--ks-border-secondary);
+    overflow: hidden;
+    background: var(--ks-background-secondary);
+    text-decoration: none;
+    color: inherit;
+    transition: border-color 0.2s;
+}
+
+.fc-card:hover {
+    border-color: #a78bfa;
+}
+
+/* ── image ── */
+.fc-card-image {
+    aspect-ratio: 16 / 10;
+    overflow: hidden;
+    position: relative;
+}
+
+.fc-card-image img {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+    display: block;
+}
+
+/* ── industry badge ── */
+.fc-industry {
+    position: absolute;
+    top: 0.625rem;
+    right: 0.625rem;
+    font-size: 0.625rem;
+    font-weight: 600;
+    color: #8405ff;
+    background: #ece7f8;
+    border: 1px solid rgba(99, 27, 255, 0.15);
+    border-radius: 999px;
+    padding: 0.2rem 0.625rem;
+    white-space: nowrap;
+    line-height: 1.5;
+}
+
+/* ── header overlay ── */
+.fc-header {
+    position: absolute;
+    bottom: 0;
+    left: 0;
+    right: 0;
+    display: flex;
+    align-items: flex-start;
+    gap: 1rem;
+    backdrop-filter: blur(1px);
+    background: rgba(0, 0, 0, 0.8);
+    padding: 0.75rem 1rem;
+}
+
+.fc-logo {
+    width: 5rem;
+    height: 5rem;
+    border-radius: 0.875rem;
+    background: #0d0d0d;
+    flex-shrink: 0;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    overflow: hidden;
+}
+
+.fc-logo img {
+    width: 100%;
+    height: 100%;
+    object-fit: contain;
+    padding: 8px;
+}
+
+.fc-initial {
+    font-size: 1.75rem;
+    font-weight: 700;
+    color: #8b5cf6;
+    line-height: 1;
+}
+
+.fc-info {
+    display: flex;
+    flex-direction: column;
+    gap: 0.375rem;
+    justify-content: center;
+    min-width: 0;
+    margin-top: 0.25rem;
+}
+
+.fc-company {
+    font-size: 1.125rem;
+    font-weight: 700;
+    color: #fff;
+    line-height: 1.25;
+}
+
+.fc-tagline {
+    font-size: 0.8125rem;
+    color: rgba(255, 255, 255, 0.7);
+    line-height: 1.5;
+    margin: 0;
+}
+
+/* ── body ── */
+.fc-card-body {
+    padding: 1.5rem;
+    display: flex;
+    flex-direction: column;
+    gap: 0;
+    flex: 1;
+}
+
+/* ── use-case ── */
+.fc-use-case {
+    font-size: 0.8125rem;
+    line-height: 1.5;
+    color: var(--ks-content-secondary);
+    border-top: 1px solid var(--ks-border-secondary);
+    margin: 0;
+    padding: 1rem 0;
+    min-height: calc(0.8125rem * 1.5 * 3 + 2rem);
+}
+
+.fc-use-case-label {
+    font-size: 0.6875rem;
+    font-weight: 600;
+    color: var(--ks-content-tertiary);
+    white-space: nowrap;
+}
+
+/* ── quote ── */
+.fc-quote {
+    margin: 0 0 1.25rem;
+    padding: 0;
+    flex: 1;
+    position: relative;
+}
+
+.fc-quote p {
+    font-size: 1rem;
+    font-weight: 500;
+    font-style: italic;
+    color: var(--ks-content-primary);
+    line-height: 1.6;
+    margin: 0 0 0.625rem;
+}
+
+.fc-quote p::before {
+    content: "\201C";
+    display: inline;
+    font-size: 3rem;
+    line-height: 0;
+    vertical-align: -0.6rem;
+    color: #a78bfa;
+    margin-right: 0.1rem;
+    font-style: normal;
+}
+
+.fc-quote cite {
+    display: block;
+    text-align: right;
+    font-size: 0.8125rem;
+    color: var(--ks-content-tertiary);
+    font-style: normal;
+}
+
+/* ── plugins footer ── */
+.fc-footer {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    margin-top: 0.75rem;
+    gap: 0.5rem;
+}
+
+.fc-plugins-label {
+    font-size: 0.6875rem;
+    font-weight: 600;
+    color: var(--ks-content-tertiary);
+    white-space: nowrap;
+}
+
+.fc-tasks {
+    display: flex;
+    gap: 0.3rem;
+    align-items: center;
+}
+
+.fc-task-icon-wrap {
+    width: 1.5rem;
+    height: 1.5rem;
+    border-radius: 0.25rem;
+    border: 1px solid var(--ks-border-secondary);
+    background: var(--ks-background-body);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    padding: 0.2rem;
+}
+
+.fc-task-icon-wrap :deep(.icon-wrapper),
+.fc-task-icon-wrap :deep(.icon) {
+    width: 100%;
+    height: 100%;
+    background-size: contain !important;
+    background-repeat: no-repeat !important;
+    background-position: center !important;
+}
+
+.fc-task-icon-wrap :deep(img) {
+    width: 100%;
+    height: 100%;
+    object-fit: contain;
+}
+
+/* ── nav ── */
+.fc-nav {
+    display: flex;
+    justify-content: center;
+    padding-top: 1.25rem;
+}
+
+.fc-arrow {
+    width: 2rem;
+    height: 2rem;
+    border-radius: 0.375rem;
+    border: 1px solid rgba(255, 255, 255, 0.2);
+    background: rgba(255, 255, 255, 0.06);
+    color: rgba(255, 255, 255, 0.7);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    cursor: pointer;
+    transition: color 0.15s, border-color 0.15s;
+    flex-shrink: 0;
+}
+
+.fc-arrow:hover:not(:disabled) {
+    color: #fff;
+    border-color: #a78bfa;
+    background: rgba(167, 139, 250, 0.1);
+}
+
+.fc-arrow:disabled {
+    opacity: 0.4;
+    cursor: default;
+}
+
+.fc-dots {
+    display: flex;
+    gap: 0.5rem;
+    align-items: center;
+}
+
+.fc-dot {
+    width: 0.5rem;
+    height: 0.5rem;
+    border-radius: 999px;
+    background: var(--ks-border-secondary);
+    border: none;
+    cursor: pointer;
+    padding: 0;
+    transition: background 0.2s, width 0.2s;
+}
+
+.fc-dot.active {
+    width: 1.5rem;
+    background: var(--ks-content-link);
+}
+</style>
diff --git a/src/components/stories/KpiRotator.vue b/src/components/stories/KpiRotator.vue
new file mode 100644
index 00000000000..da88b2a3fdd
--- /dev/null
+++ b/src/components/stories/KpiRotator.vue
@@ -0,0 +1,142 @@
+<script setup lang="ts">
+import { ref, computed, onMounted, onUnmounted } from "vue"
+
+interface Kpi {
+    value: string
+    label: string
+}
+
+const props = defineProps<{ kpis: Kpi[] }>()
+
+const currentIdx = ref(0)
+
+// sliding window of 2
+const visible = computed(() => [
+    props.kpis[currentIdx.value],
+    props.kpis[(currentIdx.value + 1) % props.kpis.length],
+])
+
+const shouldRotate = computed(() => props.kpis.length > 2)
+
+function rotate() {
+    currentIdx.value = (currentIdx.value + 1) % props.kpis.length
+}
+
+let timer: ReturnType<typeof setInterval>
+let startTimer: ReturnType<typeof setTimeout>
+
+onMounted(() => {
+    if (!shouldRotate.value) return
+    const delay = Math.random() * 4000
+    startTimer = setTimeout(() => {
+        timer = setInterval(rotate, 10000)
+    }, delay)
+})
+
+onUnmounted(() => {
+    clearTimeout(startTimer)
+    clearInterval(timer)
+})
+</script>
+
+<template>
+    <div v-if="kpis.length > 0" class="kpi-rotator">
+        <div class="kpi-row-outer">
+            <transition name="kpi-fade" mode="out-in">
+                <div :key="currentIdx" class="kpi-row">
+                    <div v-for="kpi in visible" :key="kpi.value" class="kpi-item">
+                        <span class="kpi-value">{{ kpi.value }}</span>
+                        <span class="kpi-label">{{ kpi.label }}</span>
+                    </div>
+                </div>
+            </transition>
+        </div>
+        <div v-if="shouldRotate" class="kpi-pips">
+            <span
+                v-for="(_, i) in kpis"
+                :key="i"
+                class="kpi-pip"
+                :class="{ active: i === currentIdx }"
+            />
+        </div>
+    </div>
+</template>
+
+<style scoped>
+.kpi-rotator {
+    border-top: 1px solid var(--ks-border-secondary);
+    border-bottom: 1px solid var(--ks-border-secondary);
+}
+
+/* fixed height wrapper prevents card height jumps during transition */
+.kpi-row-outer {
+    position: relative;
+    height: calc(2rem + 1.3rem + 0.15rem + 0.8125rem * 1.4 * 2);
+    overflow: hidden;
+}
+
+.kpi-row {
+    position: absolute;
+    inset: 0;
+    display: grid;
+    grid-template-columns: repeat(2, 1fr);
+}
+
+.kpi-item {
+    display: flex;
+    flex-direction: column;
+    gap: 0.15rem;
+    padding: 1rem 0;
+}
+
+.kpi-item:nth-child(odd) {
+    padding-right: 1.5rem;
+}
+
+.kpi-value {
+    font-size: 1rem;
+    font-weight: 800;
+    color: var(--ks-content-primary);
+    line-height: 1.3;
+}
+
+.kpi-label {
+    font-size: 0.8125rem;
+    color: var(--ks-content-secondary);
+    line-height: 1.4;
+    height: calc(0.8125rem * 1.4 * 2);
+    overflow: hidden;
+}
+
+.kpi-pips {
+    display: flex;
+    gap: 0.3rem;
+    padding: 0 0 0.5rem;
+}
+
+.kpi-pip {
+    width: 0.3rem;
+    height: 0.3rem;
+    border-radius: 999px;
+    background: var(--ks-border-secondary);
+    transition: background 0.2s, width 0.2s;
+}
+
+.kpi-pip.active {
+    width: 0.75rem;
+    background: var(--ks-content-link);
+}
+
+.kpi-fade-enter-active {
+    transition: opacity 0.6s ease;
+}
+
+.kpi-fade-leave-active {
+    transition: opacity 0.4s ease;
+}
+
+.kpi-fade-enter-from,
+.kpi-fade-leave-to {
+    opacity: 0;
+}
+</style>
diff --git a/src/components/stories/Sidebar.vue b/src/components/stories/Sidebar.vue
index 4e69910f68f..93ea68a292c 100644
--- a/src/components/stories/Sidebar.vue
+++ b/src/components/stories/Sidebar.vue
@@ -26,9 +26,9 @@
                 <div class="sidebar-field-label">Deployment</div>
                 <div class="sidebar-field-value">{{ story.deployment }}</div>
             </div>
-            <div v-if="story.useCase" class="sidebar-field">
+            <div v-if="story.useCaseShort" class="sidebar-field">
                 <div class="sidebar-field-label">Use case</div>
-                <div class="sidebar-field-value">{{ story.useCase }}</div>
+                <div class="sidebar-field-value">{{ story.useCaseShort }}</div>
             </div>
             <div v-if="story.tasks?.length" class="sidebar-field">
                 <div class="sidebar-field-label">Tech stack</div>
@@ -104,7 +104,7 @@
         height: 4.5rem;
         border-radius: 0.625rem;
         border: 1px solid var(--ks-border-secondary);
-        background: var(--ks-background-secondary);
+        background: #000;
         display: flex;
         align-items: center;
         justify-content: center;
diff --git a/src/components/stories/StoriesList.vue b/src/components/stories/StoriesList.vue
index a1d3428fc29..27f292e368c 100644
--- a/src/components/stories/StoriesList.vue
+++ b/src/components/stories/StoriesList.vue
@@ -66,7 +66,7 @@
     })
 
     const useCases = computed(() => {
-        const set = new Set(props.stories.map((s) => s.useCase).filter(Boolean))
+        const set = new Set(props.stories.map((s) => s.useCaseShort).filter(Boolean))
         return Array.from(set).sort()
     })
 
@@ -75,7 +75,7 @@
         return props.stories.filter((s) => {
             const industryMatch = !activeIndustry.value || s.industry === activeIndustry.value
             const regionMatch = !activeRegion.value || s.region === activeRegion.value
-            const useCaseMatch = !activeUseCase.value || s.useCase === activeUseCase.value
+            const useCaseMatch = !activeUseCase.value || s.useCaseShort === activeUseCase.value
             const companySizeMatch = !activeCompanySize.value || s.companySize === activeCompanySize.value
             return industryMatch && regionMatch && useCaseMatch && companySizeMatch
         })
diff --git a/src/components/stories/StoryGallery.astro b/src/components/stories/StoryGallery.astro
index fdaea36de2c..17508fdb104 100644
--- a/src/components/stories/StoryGallery.astro
+++ b/src/components/stories/StoryGallery.astro
@@ -1,12 +1,15 @@
 ---
 import LogoBar from "~/components/home/LogoBar.astro"
+import FeaturedCarousel from "~/components/stories/FeaturedCarousel.vue"
 
 interface FeaturedStory {
     id: string
+    slug: string
     title: string
     heroImage: string
     logo?: string
     logoDark?: string
+    logoIcon?: string
     companyName: string
     kpi1: string
     kpi2: string
@@ -17,14 +20,15 @@ interface FeaturedStory {
     quotePersonTitle?: string
     tasks: string[]
     industry: string
+    useCase?: string
     description: string
 }
 
 interface Props {
-    featuredStory: FeaturedStory
+    featuredStories: FeaturedStory[]
 }
 
-const { featuredStory } = Astro.props
+const { featuredStories } = Astro.props
 
 function parseKpi(kpi: string | undefined): { value: string; label: string } | null {
     if (!kpi) return null
@@ -34,13 +38,13 @@ function parseKpi(kpi: string | undefined): { value: string; label: string } | n
     return value ? { value, label } : null
 }
 
-const kpis = [featuredStory.kpi1, featuredStory.kpi2, featuredStory.kpi3, featuredStory.kpi4]
-    .map(parseKpi)
-    .filter(Boolean) as { value: string; label: string }[]
+const storiesWithKpis = featuredStories.map((story) => ({
+    ...story,
+    kpis: [story.kpi1, story.kpi2, story.kpi3, story.kpi4]
+        .map(parseKpi)
+        .filter(Boolean) as { value: string; label: string }[],
+}))
 
-const maxPlugins = 5
-const visibleTasks = featuredStory.tasks.slice(0, maxPlugins)
-const overflowCount = featuredStory.tasks.length - maxPlugins
 ---
 
 <section class="stories-hero">
@@ -50,69 +54,7 @@ const overflowCount = featuredStory.tasks.length - maxPlugins
             <p class="hero-sub">Browse stories from engineering teams across every industry. Find the use case that matches yours — and see exactly how they built it.</p>
         </div>
 
-        <div class="featured-story">
-            <div class="featured-image-col">
-                <img
-                    src={featuredStory.heroImage}
-                    alt={featuredStory.title}
-                    loading="eager"
-                />
-            </div>
-
-            <div class="featured-info-col">
-                <span class="featured-industry">{featuredStory.industry}</span>
-
-                <div class="featured-header">
-                    <div class="featured-logo">
-                        {featuredStory.logo
-                            ? <img src={featuredStory.logo} alt={featuredStory.companyName} loading="eager" />
-                            : <span class="featured-initial">{featuredStory.companyName.charAt(0).toUpperCase()}</span>
-                        }
-                    </div>
-                    <span class="featured-company">{featuredStory.companyName}</span>
-                </div>
-
-                <blockquote class="featured-quote">
-                    <p>"{featuredStory.quote}"</p>
-                    <cite>{featuredStory.quotePerson}</cite>
-                </blockquote>
-
-                {
-                    kpis.length > 0 && (
-                        <div class="featured-kpis">
-                            {kpis.map((kpi) => (
-                                <div class="featured-kpi">
-                                    <span class="kpi-value">{kpi.value}</span>
-                                    <span class="kpi-label">{kpi.label}</span>
-                                </div>
-                            ))}
-                        </div>
-                    )
-                }
-
-                <div class="featured-plugins">
-                    <span class="plugins-label">Plugins Used :</span>
-                    <div class="plugins-icons">
-                        {
-                            visibleTasks.map((task) => (
-                                <div class="plugin-icon-wrap">
-                                    <img
-                                        src={`/icons/${task}.svg`}
-                                        alt={task.split(".").pop()}
-                                        loading="lazy"
-                                    />
-                                </div>
-                            ))
-                        }
-                        {
-                            overflowCount > 0 && (
-                                <div class="plugin-overflow">+{overflowCount}</div>
-                            )
-                        }
-                    </div>
-                </div>
-            </div>
-        </div>
+        <FeaturedCarousel stories={storiesWithKpis} client:idle />
     </div>
 
     <div class="logo-bar-outer">
@@ -171,199 +113,6 @@ const overflowCount = featuredStory.tasks.length - maxPlugins
         }
     }
 
-    .featured-story {
-        display: grid;
-        grid-template-columns: 1fr 1fr;
-        gap: 1rem;
-        min-height: 420px;
-
-        @include media-breakpoint-down(md) {
-            grid-template-columns: 1fr;
-        }
-    }
-
-    .featured-image-col {
-        border-radius: 1rem;
-        border: 1px solid var(--ks-border-secondary);
-        overflow: hidden;
-
-        img {
-            width: 100%;
-            height: 100%;
-            object-fit: cover;
-            display: block;
-        }
-    }
-
-    .featured-info-col {
-        background: var(--ks-background-secondary);
-        padding: 1.5rem;
-        display: flex;
-        flex-direction: column;
-        gap: 0;
-        border-radius: 1rem;
-        border: 1px solid var(--ks-border-secondary);
-    }
-
-    .featured-header {
-        display: flex;
-        align-items: center;
-        gap: 1rem;
-        margin-bottom: 1.5rem;
-    }
-
-    .featured-logo {
-        width: 3.25rem;
-        height: 3.25rem;
-        border-radius: 0.625rem;
-        background: #0d0d0d;
-        flex-shrink: 0;
-        display: flex;
-        align-items: center;
-        justify-content: center;
-        overflow: hidden;
-
-        img {
-            width: 100%;
-            height: 100%;
-            object-fit: contain;
-            padding: 6px;
-        }
-    }
-
-    .featured-initial {
-        font-size: 1.25rem;
-        font-weight: 700;
-        color: #8b5cf6;
-        line-height: 1;
-    }
-
-    .featured-company {
-        font-size: 1.125rem;
-        font-weight: 700;
-        color: var(--ks-content-primary);
-        line-height: 1.25;
-    }
-
-    .featured-quote {
-        margin: 0 0 1.75rem;
-        padding: 0;
-
-        p {
-            font-size: clamp(1rem, 1.5vw, 1.25rem);
-            font-weight: 500;
-            color: var(--ks-content-primary);
-            line-height: 1.5;
-            margin: 0 0 0.75rem;
-        }
-
-        cite {
-            font-size: 0.8125rem;
-            color: var(--ks-content-tertiary);
-            font-style: normal;
-        }
-    }
-
-    .featured-kpis {
-        display: grid;
-        grid-template-columns: repeat(2, 1fr);
-        border-top: 1px solid var(--ks-border-secondary);
-        border-bottom: 1px solid var(--ks-border-secondary);
-        margin-bottom: 1.5rem;
-    }
-
-    .featured-kpi {
-        display: flex;
-        flex-direction: column;
-        gap: 0.2rem;
-        padding: 1rem 0;
-
-        &:nth-child(odd) {
-            padding-right: 1.5rem;
-        }
-
-        .kpi-value {
-            font-size: 1.25rem;
-            font-weight: 700;
-            color: var(--ks-content-primary);
-            line-height: 1.3;
-        }
-
-        .kpi-label {
-            font-size: 0.8125rem;
-            color: var(--ks-content-secondary);
-            line-height: 1.4;
-        }
-    }
-
-    .featured-plugins {
-        display: flex;
-        align-items: center;
-        gap: 0.75rem;
-        margin-bottom: 1.5rem;
-    }
-
-    .plugins-label {
-        font-size: 0.8125rem;
-        color: var(--ks-content-tertiary);
-        white-space: nowrap;
-    }
-
-    .plugins-icons {
-        display: flex;
-        gap: 0.375rem;
-        align-items: center;
-        flex-wrap: wrap;
-    }
-
-    .plugin-icon-wrap {
-        width: 2rem;
-        height: 2rem;
-        border-radius: 0.375rem;
-        border: 1px solid var(--ks-border-secondary);
-        background: var(--ks-background-body);
-        display: flex;
-        align-items: center;
-        justify-content: center;
-        padding: 0.25rem;
-
-        img {
-            width: 100%;
-            height: 100%;
-            object-fit: contain;
-        }
-    }
-
-    .plugin-overflow {
-        width: 2rem;
-        height: 2rem;
-        border-radius: 0.375rem;
-        border: 1px solid var(--ks-border-secondary);
-        background: var(--ks-background-body);
-        display: flex;
-        align-items: center;
-        justify-content: center;
-        font-size: 0.6875rem;
-        font-weight: 600;
-        color: var(--ks-content-tertiary);
-    }
-
-    .featured-industry {
-        align-self: flex-end;
-        margin-top: -1rem;
-        margin-right: -1rem;
-        margin-bottom: 0.75rem;
-        font-size: 0.625rem;
-        font-weight: 600;
-        color: var(--ks-content-link);
-        background: rgba(99, 27, 255, 0.08);
-        border: 1px solid rgba(99, 27, 255, 0.15);
-        border-radius: 999px;
-        padding: 0.2rem 0.625rem;
-        white-space: nowrap;
-        line-height: 1.5;
-    }
-
     .logo-bar-outer {
         border-top: 1px solid rgba(255, 255, 255, 0.07);
         padding: 2rem 1rem;
diff --git a/src/content.config.ts b/src/content.config.ts
index 5126930b59f..2b7af778cd8 100644
--- a/src/content.config.ts
+++ b/src/content.config.ts
@@ -135,6 +135,7 @@ export const collections = {
                 featuredImage: image(),
                 logo: image().optional(),
                 logoDark: image().optional(),
+                logoIcon: image().optional(),
                 rank: z.number(),
                 tasks: z.array(z.string()),
                 kpi1: z.string(),
@@ -154,6 +155,7 @@ export const collections = {
                 intro: z.string().optional(),
                 deployment: z.string().optional(),
                 useCase: z.string().optional(),
+                useCaseShort: z.string().optional(),
                 companySize: z.string().optional(),
                 cta: z.string().optional(),
             }),
diff --git a/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md b/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
index 63e7dc0205c..1c9eedcc7bb 100644
--- a/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
+++ b/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
@@ -40,7 +40,8 @@ companySize: "1–50"
 solution: Educational platform that offers network lessons focused on Cisco technologies
 tagline: Online learning platform for Cisco network certifications
 companyName: NetworkLessons
-useCase: Business Automation
+useCase: Consolidating AWS Lambda functions, ChatGPT, and Zendesk into one platform as a one-man Cisco training business
+useCaseShort: Business Automation
 cta: "What would change if you could automate your entire content and business workflow as a solo operator—without a dedicated engineering team?"
 ---
 
diff --git a/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md b/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
index 56bc733a51f..2e6f44dfa3d 100644
--- a/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
+++ b/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
@@ -35,7 +35,8 @@ companySize: "51–500"
 solution: Flights and Hotels booking solution
 tagline: Online travel platform for flight and hotel bookings
 companyName: Airpaz
-useCase: Data Orchestration
+useCase: Cutting manual data processing by 70% while connecting 10 sources for a Southeast Asia flight and hotel booking platform
+useCaseShort: Data Orchestration
 cta: "What would change if your travel data workflows ran smarter—automating the complex pipelines that power bookings, pricing, and experiences?"
 ---
 
diff --git a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
index 5f9300f0426..8711930d969 100644
--- a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
+++ b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
@@ -32,7 +32,8 @@ companySize: "5,000+"
 solution: Infrastructure Orchestration & Environment-as-a-Service
 tagline: Global provider of software and services for communications and media companies
 companyName: Amdocs
-useCase: IT Automation
+useCase: Delivering fully provisioned, deployed, and validated integration environments on demand, shrinking wait times from days to hours
+useCaseShort: IT Automation
 cta: "What would change if your developers could request a fully provisioned, deployed, and validated environment with one click — instead of spending days assembling it by hand?"
 ---
 
diff --git a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
index ab0045a8cb3..5b210353e61 100644
--- a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
+++ b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
@@ -33,7 +33,8 @@ companySize: "5,000+"
 solution: Apple is a global technology leader whose services, including the App Store, Apple Music, and device ecosystems, generate some of the world's largest data volumes, processed daily by a 200-engineer ML team.
 tagline: Global technology company behind iPhone, Mac, and the world's largest app marketplace
 companyName: Apple
-useCase: Data Orchestration
+useCase: Replacing Airflow for 200 ML engineers running massive ETL workloads across the App Store, Apple Music, and device data
+useCaseShort: Data Orchestration
 cta: "What would change if your ML data pipelines processed at massive scale, orchestrating complex ETL workloads between your data warehouse and ML platform with declarative simplicity?"
 ---
 
diff --git a/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
index 5361d26f884..8180d94f156 100644
--- a/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
+++ b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
@@ -35,7 +35,8 @@ companySize: "< 100"
 solution: Foundation Data is a technology company that powers marketing analytics and digital advertising intelligence for automotive dealerships across the United States. They handle the data infrastructure behind OEM integrations, dbt transformations, BigQuery analytics, and Looker dashboards for over 2,800 dealership clients.
 tagline: Data and analytics partner for automotive dealerships
 companyName: Foundation Data
-useCase: Data Orchestration
+useCase: Replacing SuperMetrics, Prefect, and dbt Cloud with one platform to cut toolchain costs 90% and serve 2,800 automotive dealerships
+useCaseShort: Data Orchestration
 deployment: Kestra Cloud
 intro: "Foundation Data serves over 2,800 automotive dealerships across the United States. One engineer runs the entire data stack. That ratio became possible because of two decisions made early in the company's life as an independent entity: commit to Infrastructure as Code from day one, and find an orchestrator that could run Go. Both pointed to Kestra."
 cta: "What would change if one engineer could orchestrate 50+ pipelines, serve 2,800 clients, and still have time to innovate?"
diff --git a/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md b/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
index 8565166ee76..34bae6aca05 100644
--- a/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
+++ b/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
@@ -39,7 +39,8 @@ companySize: "51–500"
 solution: "Solution for real-esrate investment "
 tagline: Leading French real estate developer and property investor
 companyName: ""
-useCase: Data Orchestration
+useCase: Orchestrating a modern data stack with dbt, BigQuery, and Hightouch to double conversion rates for a real estate investment platform
+useCaseShort: Data Orchestration
 cta: "What would change if your marketing data pipelines ran automatically—keeping every campaign fed with fresh, accurate data?"
 ---
 
diff --git a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
new file mode 100644
index 00000000000..6a9aafe15ba
--- /dev/null
+++ b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
@@ -0,0 +1,7 @@
+<svg width="16" height="45" viewBox="104 5 18 47" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M120.408 18.6994C120.966 18.6994 121.268 19.0008 121.268 19.5595V20.1904C121.268 20.7491 120.966 21.0508 120.408 21.0508H106.863C106.305 21.0508 106.003 20.7491 106.003 20.1904V19.5595C106.003 19.0008 106.305 18.6994 106.863 18.6994H120.408Z" fill="#B0131D"/>
+<path d="M120.408 12.6623C120.966 12.6623 121.268 12.9637 121.268 13.5226V14.1533C121.268 14.7123 120.966 15.0137 120.408 15.0137H106.863C106.305 15.0137 106.003 14.7123 106.003 14.1533V13.5226C106.003 12.9637 106.305 12.6623 106.863 12.6623H120.408Z" fill="#B0131D"/>
+<path d="M120.408 6.62632C120.966 6.62632 121.268 6.92777 121.268 7.48651V8.11735C121.268 8.67609 120.966 8.97754 120.408 8.97754H106.863C106.305 8.97754 106.003 8.67609 106.003 8.11735V7.48651C106.003 6.92777 106.305 6.62632 106.863 6.62632H120.408Z" fill="#B0131D"/>
+<path d="M120.408 48.7365C120.966 48.7365 121.268 49.0379 121.268 49.5967V50.2275C121.268 50.7862 120.966 51.0879 120.408 51.0879H106.863C106.305 51.0879 106.003 50.7862 106.003 50.2275V49.5967C106.003 49.0379 106.305 48.7365 106.863 48.7365H120.408Z" fill="#B0131D"/>
+<path d="M120.408 42.6994C120.966 42.6994 121.268 43.001 121.268 43.5598V44.1906C121.268 44.7493 120.966 45.0508 120.408 45.0508H106.863C106.305 45.0508 106.003 44.7493 106.003 44.1906V43.5598C106.003 43.001 106.305 42.6994 106.863 42.6994H120.408Z" fill="#B0131D"/>
+</svg>
diff --git a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
index 41daca5771d..9b03447cdfe 100644
--- a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
+++ b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
@@ -8,6 +8,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.ee.kubernetes.runner.Kubernetes
   - io.kestra.plugin.kafka.Trigger
@@ -35,7 +36,8 @@ companySize: "501–5,000"
 solution: Build a government-grade cloud service portal
 tagline: Government-owned IT service provider for German public administration
 companyName: Dataport
-useCase: IT Automation
+useCase: Building a fully self-hosted, auditable private-cloud control plane for Germany's public-sector IT services provider Dataport
+useCaseShort: Infrastructure Orchestration
 cta: "What would change if your public-sector cloud automation ran through a self-hosted orchestration control plane, built for governance, visibility, and scale?"
 ---
 
diff --git a/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/icon.svg b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/icon.svg
new file mode 100644
index 00000000000..db1ddca5a1b
--- /dev/null
+++ b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/icon.svg
@@ -0,0 +1,10 @@
+<svg width="57" height="65" viewBox="0 0 57 65" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M55.6069 16.9365V48.5976L49.738 41.0265L46.469 32.7682H46.4668L49.5718 24.3931L55.6069 16.9365Z" fill="#AB2B4A"/>
+<path d="M0.765625 16.9365V48.5976L5.95346 41.2563L9.90355 32.7682H9.90575L5.88984 24.7155L0.765625 16.9365Z" fill="#E87A68"/>
+<path d="M46.4626 32.7676L29.1799 33.8644L9.9043 32.7676L17.9482 16.9359L28.1845 1.10645L39.3148 18.4862L46.4626 32.7676Z" fill="#D74D4E"/>
+<path d="M55.6018 16.9359L46.4616 32.7676L28.1836 1.10645L55.6018 16.9359Z" fill="#BD3246"/>
+<path d="M28.186 1.10645L9.90575 32.7676L0.765625 16.9359L28.186 1.10645Z" fill="#F19175"/>
+<path d="M46.4626 32.7676L40.2158 46.438L28.1845 64.4287L15.8034 45.8342L9.9043 32.7676H46.4626Z" fill="#CF3942"/>
+<path d="M28.186 64.4287L0.765625 48.597L9.90575 32.7676L28.186 64.4287Z" fill="#E0625B"/>
+<path d="M28.1836 64.4287L55.604 48.597L46.4638 32.7676L28.1836 64.4287Z" fill="#9A244F"/>
+</svg>
diff --git a/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
index 25a08d1000f..3a8978cef63 100644
--- a/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
+++ b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
@@ -12,6 +12,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.core.http.Request
   - io.kestra.plugin.core.flow.Subflow
@@ -38,7 +39,8 @@ companySize: "51–500"
 solution: Clever Cloud is an IT Automation platform to manage all the ops work while you focus on your business value
 tagline: European cloud provider and IT automation platform
 companyName: ""
-useCase: IT Automation
+useCase: Automating 20TB of weekly monitoring data offloading for a European PaaS provider, reducing manual tasks by 80%
+useCaseShort: Infrastructure Orchestration
 cta: "What would change if your cloud data offloading ran at scale—processing terabytes reliably, every month, without manual intervention?"
 ---
 
diff --git a/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/icon.svg b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/icon.svg
new file mode 100644
index 00000000000..50092fdf678
--- /dev/null
+++ b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/icon.svg
@@ -0,0 +1,50 @@
+<svg width="48" height="54" viewBox="0 0 48 54" fill="none" xmlns="http://www.w3.org/2000/svg">
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diff --git a/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
index d279eb375dd..50b8c5a7c54 100644
--- a/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
+++ b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
@@ -12,6 +12,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.mongodb.Load
   - io.kestra.plugin.kubernetes.PodCreate
@@ -36,7 +37,8 @@ companySize: "51–500"
 solution: Leading HR tech company focused on AI-driven recruitment solutions.
 tagline: AI-driven recruitment and talent management platform
 companyName: CleverConnect
-useCase: Business Automation
+useCase: Accelerating connector development 10x to build hundreds of HR system integrations for an AI-driven recruitment platform
+useCaseShort: Business Automation
 cta: "What would change if your HR integration workflows were fully automated—scaling with your business without added engineering overhead?"
 ---
 
diff --git a/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/icon.svg b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/icon.svg
new file mode 100644
index 00000000000..628426bfcd0
--- /dev/null
+++ b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/icon.svg
@@ -0,0 +1,28 @@
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"/>
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"/>
+</defs>
+</svg>
diff --git a/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
index 8b0445f6d74..e19a23c3253 100644
--- a/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
+++ b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
@@ -13,6 +13,7 @@ metaDescription: This is the story of how Copines De Voyage, an exclusively
 heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.dbt.cloud.TriggerRun
   - io.kestra.plugin.jdbc.mysql.Query
@@ -37,7 +38,8 @@ companySize: "1–50"
 solution: Exclusive travel agency for women only.
 tagline: Exclusive travel agency for women
 companyName: Copines de Voyage
-useCase: Data Orchestration
+useCase: Replacing legacy PHP cron jobs with dbt and BigQuery pipelines for a women-only travel agency, doubling team efficiency
+useCaseShort: Data Orchestration
 cta: "What would change if your travel data pipelines ran end-to-end automatically—delivering better experiences for every traveler?"
 ---
 
diff --git a/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md b/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
index 097ea901a3f..abb7a945429 100644
--- a/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
+++ b/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
@@ -33,7 +33,8 @@ companySize: "5,000+"
 solution: Leroy Merlin France is the French subsidiary of ADEO Group, one of the world's largest home improvement and gardening retailers. Their data platform team orchestrates hundreds of pipelines across multiple engineering squads, underpinning product analytics, customer data, and retail operations for 80,000+ employees and 140 stores across France.
 tagline: Global home improvement and gardening retailer
 companyName: Leroy Merlin France
-useCase: Data Orchestration
+useCase: Replacing Airflow to build a self-service data mesh serving 250+ engineers across 140 stores
+useCaseShort: Data Orchestration
 deployment: Self-hosted (Kubernetes)
 intro: "Leroy Merlin France, a subsidiary of ADEO Group managing data operations for 80,000+ employees across 140 stores, needed to replace a fragmented legacy scheduling stack and a failing Airflow deployment with a platform that could support self-service data engineering at scale. Starting in May 2020, they built a full DataOps lifecycle on Kestra: GitOps deployment, a custom ingest plugin, Enterprise RBAC, and a Data Mesh architecture where individual squads publish their own data products. Today the platform orchestrates 5,000+ flows, serves 250+ active engineers, and has been a cornerstone of LMFR's data operations for over six years."
 cta: "What would change if your data mesh produced 9× more data, automating the pipelines that power your entire retail operation?"
diff --git a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
index 7a2e21c520b..ed6cf6ecf32 100644
--- a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
+++ b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
@@ -40,7 +40,8 @@ companySize: "51–500"
 solution: Displayce optimises the purchase, impact and quality of digital out-of-home campaigns on over 1 million digital screens worldwide.
 tagline: Digital out-of-home advertising platform across 1 million+ screens worldwide
 companyName: Displayce
-useCase: Data Orchestration
+useCase: Cutting processing time 40% by centralizing orchestration across dbt, ClickHouse, and S3 for a digital out-of-home ad platform covering 1M+ screens
+useCaseShort: Data Orchestration
 cta: "What would change if your advertising data workflows ran faster—orchestrated automatically across every campaign and digital screen?"
 ---
 
diff --git a/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md b/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
index ac5eb249a83..2362ff46e85 100644
--- a/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
+++ b/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
@@ -41,7 +41,8 @@ companySize: "5,000+"
 solution: Fila has evolved into a global sportswear brand, known for its high-quality and stylish clothing and accessories.
 tagline: Global sportswear brand with a century-long legacy
 companyName: Fila
-useCase: Business Automation
+useCase: Orchestrating ERP and supply chain workflows across 70+ countries during a global IT transformation
+useCaseShort: Business Automation
 cta: "What would change if your ERP processes were fully automated—transforming months of manual work into streamlined, end-to-end flows?"
 ---
 
diff --git a/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/icon.svg b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/icon.svg
new file mode 100644
index 00000000000..ddc0a557164
--- /dev/null
+++ b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/icon.svg
@@ -0,0 +1,3 @@
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diff --git a/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
index 44ae9d5eeb7..0480ec77b7c 100644
--- a/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
+++ b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
@@ -13,6 +13,7 @@ featured: true
 featuredImage: ./hero.png
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.airbyte.connections.Sync
   - io.kestra.plugin.dbt.cloud.TriggerRun
@@ -38,7 +39,8 @@ companySize: "51–500"
 solution: Gorgias is the leading AI customer experience platform for ecommerce stores. Trusted by over 15000 merchants worldwide.
 tagline: Leading AI customer experience platform for ecommerce brands
 companyName: Gorgias
-useCase: Data Orchestration
+useCase: Unifying data ingestion, dbt transformations, and reverse-ETL in a declarative IaC stack
+useCaseShort: Data Orchestration
 cta: "What would change if your CI/CD pipelines and data workflows were unified in a single orchestration platform—shipping faster with full visibility?"
 ---
 
diff --git a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/icon.svg b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/icon.svg
new file mode 100644
index 00000000000..60c9f626f06
--- /dev/null
+++ b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/icon.svg
@@ -0,0 +1,14 @@
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+</svg>
diff --git a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
index f60e25b948f..76c992d0a69 100644
--- a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
+++ b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
@@ -11,6 +11,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.terraform.cli.TerraformCLI
   - io.kestra.plugin.scripts.shell.Script
@@ -35,7 +36,8 @@ companySize: "501–5,000"
 solution: Regulated Cloud Platform for Banking and Insurance Customers
 tagline: Cloud platform provider for regulated banking and insurance industries
 companyName: Software Provider
-useCase: IT Automation
+useCase: Turning ad-hoc Terraform scripts into auditable, least-privilege self-service automation across three isolated environments for banking and insurance customers
+useCaseShort: Infrastructure Orchestration
 cta: "What would change if your regulated-industry clients could self-serve cloud automation—with full governance and compliance built into every flow?"
 ---
 
diff --git a/src/contents/customer-stories/government-soc-team/index.md b/src/contents/customer-stories/government-soc-team/index.md
index ecb635972c4..8b6facf81f6 100644
--- a/src/contents/customer-stories/government-soc-team/index.md
+++ b/src/contents/customer-stories/government-soc-team/index.md
@@ -39,7 +39,8 @@ tagline: European government IT provider managing SOC operations across multiple
 companyName: Government IT Provider
 intro: A European government IT services provider managing security operations across multiple German federal states needed to replace Palo Alto XSOAR after the vendor shifted new capabilities primarily to its cloud offering. With citizen data that cannot touch a commercial cloud by law, the SOC team evaluated five alternatives — purpose-built SOARs included — and selected Kestra. They built 100+ security workflows on top of it, covering the full alert lifecycle with no cloud dependencies.
 deployment: Self-hosted · Docker Compose · On-prem
-useCase: Security Automation
+useCase: Replacing Palo Alto XSOAR with 100+ fully self-hosted SOC alert workflows serving 6 German federal states with zero cloud dependencies
+useCaseShort: Security Automation
 cta: What would change if your security operations ran on a platform built to stay on-prem — actively developed, open source at its core, and fully under your control?
 ---
 
diff --git a/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md b/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
index 2d49e8b5155..b6dbe0b28b8 100644
--- a/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
+++ b/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
@@ -34,7 +34,8 @@ companySize: "1–50"
 solution: Modelisation tool for architects
 tagline: Collaborative architectural modeling and design tool
 companyName: HTCH
-useCase: Business Automation
+useCase: Orchestrating Kafka events, S3 uploads, and 3D file transformations for a collaborative architectural design web platform
+useCaseShort: Business Automation
 cta: "What would change if your SaaS platform's backend workflows were fully orchestrated—deployments, data flows, and integrations running automatically?"
 ---
 
diff --git a/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/icon.svg b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/icon.svg
new file mode 100644
index 00000000000..d98ae587bad
--- /dev/null
+++ b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/icon.svg
@@ -0,0 +1,9 @@
+<svg width="63" height="63" viewBox="0 0 63 63" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+<rect width="175.816" height="62.212" fill="url(#pattern0_21390_54395)"/>
+<defs>
+<pattern id="pattern0_21390_54395" patternContentUnits="objectBoundingBox" width="1" height="1">
+<use xlink:href="#image0_21390_54395" transform="scale(0.000961538 0.00271739)"/>
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"/>
+</defs>
+</svg>
diff --git a/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
index 12a55a79503..b5e7b38a7d9 100644
--- a/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
+++ b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
@@ -9,6 +9,7 @@ featured: false
 featuredImage: ./hero.png
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.core.trigger.Webhook
   - io.kestra.plugin.core.http.Request
@@ -34,7 +35,8 @@ companySize: "< 100"
 solution: Víssimo Group is the holding company behind Evino (Brazil's largest digital wine e-tailer) and Grand Cru (premium physical wine retail). Together they run mission-critical commerce integrations, ERP synchronization, and BI pipelines across Magento, SAP, and a shared data platform serving both brands.
 tagline: Brazil's leading premium wine e-commerce and retail group
 companyName: Víssimo Group
-useCase: E-commerce Orchestration
+useCase: Consolidating an iPaaS and AWS Lambdas onto one platform to cut costs 90% and run Brazil's premium wine group's first zero-incident Black Friday
+useCaseShort: E-commerce Orchestration
 deployment: Kestra OSS (self-hosted)
 intro: "Víssimo Group runs two premium wine brands in Brazil, Evino and Grand Cru, on a shared integration and data backbone spanning e-commerce platforms, ERPs, and BI. That backbone had grown organically: an iPaaS for commerce integrations, AWS Lambdas for BI pipelines, and scattered scripts filling the gaps. Under peak load it showed its limits. A 2024 FinOps review confirmed the structural problem. Víssimo consolidated both tool layers onto Kestra, cutting BI costs by 40%, reducing integration spend to roughly 10% of previous iPaaS levels, and running its first zero-incident Black Friday."
 cta: "What would change if your most critical e-commerce flows were observable, replayable, and governed from a single platform?"
diff --git a/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
index 6508356c092..c9914cd284f 100644
--- a/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
+++ b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
@@ -34,7 +34,8 @@ companySize: "501–5,000"
 solution: Pharmacy Retail
 tagline: Leading pharmacy retail chain operating in a highly regulated market
 companyName: Pharmacy Retailer
-useCase: IT Automation
+useCase: Replacing a 30-year-old legacy integration platform to modernize 50+ critical workflows across 400+ on-prem pharmacies
+useCaseShort: IT Automation
 cta: "What would change if your mission-critical healthcare workflows ran reliably—meeting compliance requirements without the operational overhead?"
 ---
 
diff --git a/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/icon.svg b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/icon.svg
new file mode 100644
index 00000000000..d3eae14ecd3
--- /dev/null
+++ b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/icon.svg
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"/>
+</defs>
+</svg>
diff --git a/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
index f9536bb898e..8bf060072c8 100644
--- a/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
+++ b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
@@ -12,6 +12,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.aws.athena.Query
   - io.kestra.plugin.aws.s3.CreateBucket
@@ -36,7 +37,8 @@ companySize: "51–500"
 solution: Geospatial Data
 tagline: Geospatial data consulting and system integration
 companyName: Ntico
-useCase: Data Orchestration
+useCase: Orchestrating 250+ geospatial datasets from satellite imagery and public APIs for a housing intelligence platform, cutting processing costs 50%
+useCaseShort: Data Orchestration
 cta: "What would change if your geospatial data operations were fully orchestrated—automated end-to-end, without the integration complexity?"
 ---
 
diff --git a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
index 63cc8362bee..f7942b45d13 100644
--- a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
+++ b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
@@ -38,7 +38,8 @@ companySize: "5,000+"
 solution: Helping power economic growth by creating opportunities for all through business and community investments, local collaborations and policy advocacy.
 tagline: Global financial services and investment banking leader
 companyName: JPMorgan Chase
-useCase: Security Automation
+useCase: Processing billions of cybersecurity records and 4,000+ weekly API pulls for 100+ JPMorgan Chase analysts fighting fraud and threat intelligence
+useCaseShort: Security Automation
 cta: "What would change if your cybersecurity workflows orchestrated billions of rows automatically—protecting your organization at financial-industry scale?"
 ---
 
diff --git a/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/icon.svg b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/icon.svg
new file mode 100644
index 00000000000..a45b805f61c
--- /dev/null
+++ b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/icon.svg
@@ -0,0 +1,3 @@
+<svg width="38" height="38" viewBox="0 0 38 38" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path fill-rule="evenodd" clip-rule="evenodd" d="M16.7678 1.05113C12.3647 1.40476 8.27492 3.34217 5.27838 6.494C2.32616 9.59932 0.743536 13.0329 0.223628 17.4602C-0.597239 24.4522 2.99926 31.892 8.84458 35.2931C13.593 38.0561 19.7183 38.7173 24.9568 37.0327C25.6003 36.8257 26.1266 36.5801 26.1266 36.4869C26.1266 36.3936 25.0772 35.2729 23.7948 33.9967L21.4627 31.6764L19.4233 31.7401C15.8135 31.8531 13.1696 30.8784 10.8333 28.5736C8.17592 25.9518 7.08734 23.2742 7.08266 19.3472C7.07798 15.6266 8.29857 12.7005 10.8821 10.2382C15.4433 5.8911 22.5949 6.01979 27.03 10.5283C29.9906 13.5381 31.2703 18.5053 30.1738 22.733L29.7879 24.2211L31.1306 25.5984C31.8693 26.3559 32.9123 27.4465 33.4487 28.0216C33.9851 28.5967 34.5533 29.0674 34.7114 29.0674C35.0695 29.0674 36.2366 26.5173 36.8513 24.3919C37.2136 23.1393 37.3107 22.0184 37.2986 19.2241C37.2848 16.0145 37.2161 15.4581 36.6152 13.6873C34.9422 8.75845 31.9252 5.15925 27.6696 3.01488C24.1721 1.25243 21.1165 0.701942 16.7678 1.05113ZM17.3015 24.1421C17.3466 24.2755 20.3165 27.3207 23.901 30.9094L30.4186 37.4343H34.7582C37.1449 37.4343 39.1721 37.3597 39.2632 37.2687C39.3543 37.1776 36.4676 34.1323 32.848 30.5014L26.267 23.8997H21.7433C18.8812 23.8997 17.2495 23.9888 17.3015 24.1421Z" fill="white"/>
+</svg>
diff --git a/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
index 1c3f9071831..7803a77584a 100644
--- a/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
+++ b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
@@ -11,6 +11,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.azure.cli.AzCLI
   - io.kestra.plugin.docker.Build
@@ -38,7 +39,8 @@ companySize: "501–5,000"
 solution: Spain’s largest car retailer, providing a diverse range of vehicles from prestigious manufacturers.
 tagline: Spain's largest car retailer
 companyName: Quadis
-useCase: Business Automation
+useCase: Automating daily financial reports and customer communications for Spain's largest car retailer after replacing Pentaho ETL tools
+useCaseShort: Business Automation
 cta: "What would change if your automotive retail operations were fully automated—from inventory to customer experience, orchestrated end-to-end?"
 ---
 
diff --git a/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md b/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
index 57ce36e2ebb..b1c99b017e2 100644
--- a/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
+++ b/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
@@ -37,7 +37,8 @@ companySize: "51–500"
 solution: High Quality Pets Nutrition
 tagline: Premium pet nutrition brand
 companyName: Reglo
-useCase: Business Automation
+useCase: Triggering Airbyte ingestion and dbt transformations from a single Slack command for a French premium pet nutrition e-commerce brand
+useCaseShort: Business Automation
 cta: "What would change if your ETL processes triggered automatically from a single command—no manual pipeline runs, just results?"
 ---
 
diff --git a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
index cdb7b22bab7..de36b0debb5 100644
--- a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
+++ b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
@@ -39,7 +39,8 @@ tagline: Remote recording platform for podcasts and video interviews
 companyName: Riverside
 intro: Riverside is a podcast recording and editing platform used by creators and media teams worldwide. Their analytics engineering team runs the company's internal data operations — ELT ingestion into Snowflake, sequential dbt Cloud transformation jobs, Metaplane data quality checks, and Hightouch reverse ETL to downstream platforms. Six tools in total, all with dependencies on each other, all previously running on isolated time-based schedules with no actual handoff between them. The team evaluated Astronomer, Dagster, Mage, and Orchestra. All four were rejected. Airflow was too complex for a team of SQL and YAML practitioners. Dagster required too steep a learning curve. Orchestra abstracted too much away. They chose Kestra Cloud and connected their full analytics stack without rewriting a single pipeline.
 deployment: Cloud · Kestra Cloud · GCP
-useCase: Data Orchestration
+useCase: Connecting dbt Cloud, Snowflake, Metaplane, and Hightouch into a single dependency-aware pipeline without rewriting a single existing script
+useCaseShort: Data Orchestration
 cta: What would your analytics team build if your pipelines ran in sync, with no framework overhead and no infrastructure to manage?
 ---
 
diff --git a/src/contents/customer-stories/scaling-big-data-operations/icon.svg b/src/contents/customer-stories/scaling-big-data-operations/icon.svg
new file mode 100644
index 00000000000..bc65cdd20b5
--- /dev/null
+++ b/src/contents/customer-stories/scaling-big-data-operations/icon.svg
@@ -0,0 +1,5 @@
+<svg width="28" height="29" viewBox="45 14 28 29" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M69.6483 37.6787L64.9874 30.303L62.7343 33.8613L61.7626 35.4073L63.1987 37.6787H69.6483Z" fill="white"/>
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+<path d="M54.6939 14.7139H46.5674L55.4162 28.7139L46.5674 42.7139H54.6939L63.5341 28.7139L54.6939 14.7139Z" fill="white"/>
+</svg>
diff --git a/src/contents/customer-stories/scaling-big-data-operations/index.md b/src/contents/customer-stories/scaling-big-data-operations/index.md
index 79dbfc2ea57..5679d653cd1 100644
--- a/src/contents/customer-stories/scaling-big-data-operations/index.md
+++ b/src/contents/customer-stories/scaling-big-data-operations/index.md
@@ -9,6 +9,7 @@ featured: true
 featuredImage: ./featured.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.databricks.job.CreateJob
   - io.kestra.plugin.kubernetes.PodCreate
@@ -33,7 +34,8 @@ companySize: "5,000+"
 solution: Acxiom is a data technology company that provides customer data management, data integration, and marketing intelligence to global enterprise brands. Through its Axiom Cloud platform, Acxiom helps clients ingest, validate, cleanse, and enrich data at scale, with each client running as an isolated tenant in a dedicated pipeline environment.
 tagline: Global leader in customer intelligence and AI-driven marketing
 companyName: Acxiom
-useCase: Data Orchestration
+useCase: Running 50+ enterprise clients in fully isolated multi-tenant pipelines on the Axiom Cloud platform
+useCaseShort: Data Orchestration
 deployment: Self-hosted (Kubernetes)
 intro: Most orchestration deployments start as internal tools. Acxiom built something different. The company embedded Kestra as the orchestration layer at the base of its Axiom Cloud product suite, where every enterprise client runs as an isolated tenant with dedicated workers, secrets, and storage. What began as a single data ingestion product has expanded into a multi-product platform, with Kestra providing the shared foundation beneath all of it, serving 50+ enterprise clients from a single, consistent deployment model.
 cta: "What would your data operations look like if every enterprise client ran on its own isolated pipeline environment?"
diff --git a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
index 386b155a20d..9b549acc35d 100644
--- a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
+++ b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
@@ -32,7 +32,7 @@ kpi3: |-
 quote: Kestra allowed us to move from fragmented automation to a unified control
   plane—secure, scalable, and manageable by all our teams.
 quotePerson: Julien Legrand
-quotePersonTitle: "PO Data "
+quotePersonTitle: Data Product Owner
 industry: Banking
 headquarter: Paris, France
 region: Europe
@@ -40,7 +40,8 @@ companySize: "5,000+"
 solution: CAGIP manage the whole infrastructure ecosystem for the Credit Agricole Group
 tagline: Infrastructure arm of France's largest retail banking group
 companyName: Crédit Agricole
-useCase: IT Automation
+useCase: Automating infrastructure operations across 100+ clusters for France's largest banking group
+useCaseShort: Infrastructure Orchestration
 cta: "What would change if your bank's infrastructure scaled securely—automated across every team, with governance built into every workflow?"
 ---
 
diff --git a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/logo.svg b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/logo.svg
index 6f1b414b721..c17f7c8ac87 100644
--- a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/logo.svg
+++ b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/logo.svg
@@ -1,4 +1,4 @@
-<svg width="160" height="58" viewBox="0 0 160 58" fill="none" xmlns="http://www.w3.org/2000/svg">
+<svg width="66" height="54" viewBox="0 4 66 52" fill="none" xmlns="http://www.w3.org/2000/svg">
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diff --git a/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md b/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
index e7b0182c82e..04887416dc9 100644
--- a/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
+++ b/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
@@ -36,7 +36,8 @@ companySize: "5,000+"
 solution: Global leader in heavy industry across the globe
 tagline: Global Fortune 500 heavy industry manufacturer
 companyName: Fortune 500 Company
-useCase: IT Automation
+useCase: Replacing VMware Aria Automation to deliver isolated per-OT-asset orchestration 30x faster at 90% lower licensing cost for a Fortune 500 industrial manufacturer
+useCaseShort: Infrastructure Orchestration
 cta: "What would change if your hybrid cloud automation ran securely across every OT domain—isolated by design, auditable by default?"
 ---
 
diff --git a/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/icon.svg b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/icon.svg
new file mode 100644
index 00000000000..a0418c5ab0a
--- /dev/null
+++ b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/icon.svg
@@ -0,0 +1,9 @@
+<svg width="40" height="52" viewBox="0 0 40 52" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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"/>
+</defs>
+</svg>
diff --git a/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
index b791225d54d..ebd78be4b93 100644
--- a/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
+++ b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
@@ -12,6 +12,7 @@ heroImage: ./hero.png
 featuredImage: ./hero.png
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.terraform.cli.TerraformCLI
   - io.kestra.plugin.docker.Build
@@ -39,7 +40,8 @@ companySize: "1–50"
 solution: Sopht is a French startup focused on Green ITOps. Their platform helps organizations automate decarbonization strategies and track their environmental and financial performance.
 tagline: French startup automating Green ITOps and decarbonization tracking
 companyName: Sopht
-useCase: Business Automation
+useCase: Scaling from 1,240 to 6,200 daily jobs with 99.5% reliability in tenant-isolated pipelines for a Green ITOps decarbonization platform
+useCaseShort: Business Automation
 cta: "What would change if your green IT platform scaled from 1,200 to 6,200 daily jobs—with 99.5% reliability built in?"
 ---
 
diff --git a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/icon.svg b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/icon.svg
new file mode 100644
index 00000000000..4c60d439297
--- /dev/null
+++ b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/icon.svg
@@ -0,0 +1,10 @@
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+<stop stop-color="#FF7200"/>
+<stop offset="1" stop-color="#F01114"/>
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diff --git a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
index f0ba375021c..3a4fec99668 100644
--- a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
+++ b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
@@ -13,6 +13,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.jdbc.postgresql.Query
   - io.kestra.plugin.docker.Run
@@ -39,7 +40,8 @@ companySize: "51–500"
 solution: Gravitee brings modern DevOps principles to API management with built-in support for GitOps, Kubernetes, and APIOps.
 tagline: Open-source API management platform for modern DevOps teams
 companyName: Gravitee
-useCase: API Management
+useCase: Orchestrating AI-powered OpenAPI spec generation and ML model pipelines so Gravitee customers can auto-document their APIs with one click
+useCaseShort: API Management
 cta: "What would change if your API documentation wrote itself—every release automatically synchronized with what's actually deployed?"
 ---
 
diff --git a/src/pages/customers/[slug].astro b/src/pages/customers/[slug].astro
index a52e021842d..96323087c83 100644
--- a/src/pages/customers/[slug].astro
+++ b/src/pages/customers/[slug].astro
@@ -38,6 +38,7 @@ export const getStaticPaths = (async () => {
                         featuredImage: e.data.featuredImage.src,
                         logo: e.data.logo?.src,
                         logoDark: e.data.logoDark?.src,
+                        logoIcon: e.data.logoIcon?.src,
                         content: e.body ?? "",
                     }))
                     .sort(randomSortFunction)
@@ -59,6 +60,7 @@ const story = {
     featuredImage: entry.data.featuredImage.src,
     logo: entry.data.logo?.src,
     logoDark: entry.data.logoDark?.src,
+    logoIcon: entry.data.logoIcon?.src,
     content: entry.body ?? "",
 }
 ---
diff --git a/src/pages/customers/index.astro b/src/pages/customers/index.astro
index e8a06a5c2dd..6e3c82bd90b 100644
--- a/src/pages/customers/index.astro
+++ b/src/pages/customers/index.astro
@@ -25,17 +25,21 @@ const toStory = (e: (typeof allEntries)[0]) => ({
     featuredImage: e.data.featuredImage.src,
     logo: e.data.logo?.src,
     logoDark: e.data.logoDark?.src,
+    logoIcon: e.data.logoIcon?.src,
     content: e.body ?? "",
 })
 
 const stories = allEntries.map(toStory)
 
-const featuredEntry = allEntries.find((e) => e.data.featured) ?? allEntries[0]
-const featuredStory = toStory(featuredEntry)
+const featuredEntries = [
+    ...allEntries.filter((e) => e.data.featured),
+    ...allEntries.filter((e) => !e.data.featured),
+].slice(0, 5)
+const featuredStories = featuredEntries.map(toStory)
 ---
 
 <Layout title={title} description={description}>
-    <StoryGallery featuredStory={featuredStory}>
+    <StoryGallery featuredStories={featuredStories}>
         <StoriesList
             slot="stories"
             stories={stories}
diff --git a/src/type.d.ts b/src/type.d.ts
index 0c3a977ae7f..a506f0e7ad9 100644
--- a/src/type.d.ts
+++ b/src/type.d.ts
@@ -40,6 +40,7 @@ interface Story {
     heroImage: string
     logo?: string
     logoDark?: string
+    logoIcon?: string
     kpi1: string
     kpi2: string
     kpi3: string
@@ -56,6 +57,7 @@ interface Story {
     intro?: string
     deployment?: string
     useCase?: string
+    useCaseShort?: string
     companySize?: string
     tasks: string[]
     content: string

From 3dd441422c3b9131b2858da5fecefc4c4cdc9abe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nenad=20Mali=C4=87?=
 <4789424+nenadmalic@users.noreply.github.com>
Date: Wed, 24 Jun 2026 19:15:31 +0200
Subject: [PATCH 2/5] feat(customer-stories): story icons, KPI/industry
 updates, featured curation
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- Story icons: Foundation, Riverside, Apple, Displayce; fix Dataport icon
  (missing 'o'); EU flag for Government IT Provider; pharmacy cross for
  Pharmacy Retailer; Víssimo uses full logo
- Sidebar/card/carousel prefer logoIcon; sidebar-logo black background
- KPI labels to sentence case; +10px row height; OT/IT <abbr>; v-html value
- Split industry/industry2; two card chips; dropdown collects both
- Curated featured carousel order (10 stories); clamp carousel nav at end
- Industry badge + fix hydration: flatten logoIcon to .src in detail route
---
 src/components/stories/Card.vue               | 14 +++++++--
 src/components/stories/FeaturedCarousel.vue   | 30 ++++++++++++++-----
 src/components/stories/KpiRotator.vue         |  4 +--
 src/components/stories/Main.vue               |  2 +-
 src/components/stories/Sidebar.vue            |  4 +--
 src/components/stories/StoriesList.vue        |  8 +++--
 src/components/stories/StoryGallery.astro     | 17 -----------
 src/content.config.ts                         |  1 +
 .../index.md                                  |  6 ++--
 .../index.md                                  |  4 +--
 .../index.md                                  |  9 +++---
 .../icon.svg                                  |  3 ++
 .../index.md                                  |  9 +++---
 .../icon.svg                                  |  4 +++
 .../index.md                                  |  1 +
 .../index.md                                  |  9 +++---
 .../icon.svg                                  |  1 +
 .../index.md                                  |  6 ++--
 .../index.md                                  |  6 ++--
 .../index.md                                  |  6 ++--
 .../index.md                                  |  4 +--
 .../index.md                                  |  2 +-
 .../icon.svg                                  |  6 ++++
 .../index.md                                  |  5 ++--
 .../logo.svg                                  | 10 +------
 .../index.md                                  |  9 +++---
 .../index.md                                  |  6 ++--
 .../index.md                                  |  6 ++--
 .../government-soc-team/icon.svg              | 15 ++++++++++
 .../government-soc-team/index.md              |  8 ++---
 .../index.md                                  |  4 +--
 .../index.md                                  |  6 ++--
 .../icon.svg                                  |  4 +++
 .../index.md                                  |  7 +++--
 .../index.md                                  |  4 +--
 .../index.md                                  |  3 +-
 .../index.md                                  |  2 +-
 .../index.md                                  |  4 +--
 .../icon.svg                                  |  3 ++
 .../index.md                                  |  5 ++--
 .../scaling-big-data-operations/index.md      |  9 +++---
 .../index.md                                  |  6 ++--
 .../index.md                                  |  8 ++---
 .../index.md                                  |  6 ++--
 .../index.md                                  |  6 ++--
 src/pages/customers/index.astro               | 22 ++++++++++----
 src/type.d.ts                                 |  1 +
 47 files changed, 190 insertions(+), 125 deletions(-)
 create mode 100644 src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/icon.svg
 create mode 100644 src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/icon.svg
 create mode 100644 src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/icon.svg
 create mode 100644 src/contents/customer-stories/government-soc-team/icon.svg
 create mode 100644 src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/icon.svg
 create mode 100644 src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/icon.svg

diff --git a/src/components/stories/Card.vue b/src/components/stories/Card.vue
index 2966ae1d399..e1618bc2d3e 100644
--- a/src/components/stories/Card.vue
+++ b/src/components/stories/Card.vue
@@ -1,6 +1,9 @@
 <template>
     <a :href="`/customers/${story.slug}`" class="story-card">
-        <span class="card-industry">{{ story.industry }}</span>
+        <div class="card-industries">
+            <span class="card-industry">{{ story.industry }}</span>
+            <span v-if="story.industry2" class="card-industry">{{ story.industry2 }}</span>
+        </div>
 
         <div class="card-header">
             <div class="card-logo">
@@ -93,11 +96,18 @@
         }
     }
 
-    .card-industry {
+    .card-industries {
         align-self: flex-end;
+        display: flex;
+        flex-wrap: wrap;
+        justify-content: flex-end;
+        gap: 0.375rem;
         margin-top: -1rem;
         margin-right: -1rem;
         margin-bottom: 0.75rem;
+    }
+
+    .card-industry {
         font-size: 0.625rem;
         font-weight: 600;
         color: #8405ff;
diff --git a/src/components/stories/FeaturedCarousel.vue b/src/components/stories/FeaturedCarousel.vue
index cb79e6b9660..4c478ebd2cf 100644
--- a/src/components/stories/FeaturedCarousel.vue
+++ b/src/components/stories/FeaturedCarousel.vue
@@ -29,6 +29,7 @@ const props = defineProps<{ stories: StorySlide[] }>()
 
 const trackRef = ref<HTMLElement | null>(null)
 const currentIdx = ref(0)
+const maxIdx = ref(props.stories.length - 1)
 
 const GAP = 16
 
@@ -37,19 +38,32 @@ function cardWidth(): number {
     return el?.offsetWidth ?? 0
 }
 
+// Last index where the final card sits flush at the right edge — stops the
+// nav from scrolling into empty space past the end (and "phantom" presses).
+function computeMaxIdx() {
+    const track = trackRef.value
+    const w = cardWidth()
+    if (!track || w === 0) { maxIdx.value = Math.max(0, props.stories.length - 1); return }
+    // Derive the last index from the real scroll range so it lands exactly at
+    // the end — avoids two indices mapping to the same (clamped) max scroll.
+    const maxScroll = track.scrollWidth - track.clientWidth
+    maxIdx.value = Math.max(0, Math.round(maxScroll / (w + GAP)))
+}
+
 function goTo(i: number) {
     if (!trackRef.value) return
-    trackRef.value.scrollTo({ left: i * (cardWidth() + GAP), behavior: "smooth" })
-    currentIdx.value = i
+    const clamped = Math.min(Math.max(0, i), maxIdx.value)
+    trackRef.value.scrollTo({ left: clamped * (cardWidth() + GAP), behavior: "smooth" })
+    currentIdx.value = clamped
 }
 
-function prev() { goTo(Math.max(0, currentIdx.value - 1)) }
-function next() { goTo(Math.min(props.stories.length - 1, currentIdx.value + 1)) }
+function prev() { goTo(currentIdx.value - 1) }
+function next() { goTo(currentIdx.value + 1) }
 
 function onScroll() {
     const w = cardWidth()
     if (!trackRef.value || w === 0) return
-    currentIdx.value = Math.round(trackRef.value.scrollLeft / (w + GAP))
+    currentIdx.value = Math.min(maxIdx.value, Math.round(trackRef.value.scrollLeft / (w + GAP)))
 }
 
 let autoTimer: ReturnType<typeof setInterval> | null = null
@@ -57,7 +71,7 @@ let autoTimer: ReturnType<typeof setInterval> | null = null
 function startAuto() {
     if (autoTimer) return
     autoTimer = setInterval(() => {
-        goTo((currentIdx.value + 1) % props.stories.length)
+        goTo(currentIdx.value >= maxIdx.value ? 0 : currentIdx.value + 1)
     }, 12000)
 }
 
@@ -68,7 +82,9 @@ function stopAuto() {
 let ro: ResizeObserver
 onMounted(() => {
     trackRef.value?.addEventListener("scroll", onScroll, { passive: true })
+    computeMaxIdx()
     ro = new ResizeObserver(() => {
+        computeMaxIdx()
         if (trackRef.value) trackRef.value.scrollLeft = 0
         currentIdx.value = 0
     })
@@ -154,7 +170,7 @@ onUnmounted(() => {
         <button
             class="fc-arrow"
             @click="next"
-            :disabled="currentIdx >= stories.length - 1"
+            :disabled="currentIdx >= maxIdx"
             aria-label="Next story"
         >
             <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round">
diff --git a/src/components/stories/KpiRotator.vue b/src/components/stories/KpiRotator.vue
index da88b2a3fdd..b794d39c62f 100644
--- a/src/components/stories/KpiRotator.vue
+++ b/src/components/stories/KpiRotator.vue
@@ -45,7 +45,7 @@ onUnmounted(() => {
             <transition name="kpi-fade" mode="out-in">
                 <div :key="currentIdx" class="kpi-row">
                     <div v-for="kpi in visible" :key="kpi.value" class="kpi-item">
-                        <span class="kpi-value">{{ kpi.value }}</span>
+                        <span class="kpi-value" v-html="kpi.value"></span>
                         <span class="kpi-label">{{ kpi.label }}</span>
                     </div>
                 </div>
@@ -71,7 +71,7 @@ onUnmounted(() => {
 /* fixed height wrapper prevents card height jumps during transition */
 .kpi-row-outer {
     position: relative;
-    height: calc(2rem + 1.3rem + 0.15rem + 0.8125rem * 1.4 * 2);
+    height: calc(2rem + 1.3rem + 0.15rem + 0.8125rem * 1.4 * 2 + 0.625rem);
     overflow: hidden;
 }
 
diff --git a/src/components/stories/Main.vue b/src/components/stories/Main.vue
index f52bf7af73b..f4e67c520a8 100644
--- a/src/components/stories/Main.vue
+++ b/src/components/stories/Main.vue
@@ -14,7 +14,7 @@
                 :key="i"
                 class="metric-cell"
             >
-                <span class="metric-value">{{ kpi.value }}</span>
+                <span class="metric-value" v-html="kpi.value"></span>
                 <div class="metric-label">{{ kpi.label }}</div>
                 <div v-if="kpi.context" class="metric-context">{{ kpi.context }}</div>
             </div>
diff --git a/src/components/stories/Sidebar.vue b/src/components/stories/Sidebar.vue
index 93ea68a292c..80b76a578af 100644
--- a/src/components/stories/Sidebar.vue
+++ b/src/components/stories/Sidebar.vue
@@ -2,8 +2,8 @@
     <div class="sidebar">
         <div class="sidebar-logo">
             <img
-                v-if="story.logo"
-                :src="story.logo"
+                v-if="story.logoIcon || story.logo"
+                :src="story.logoIcon ?? story.logo"
                 :alt="displayName"
                 loading="lazy"
             />
diff --git a/src/components/stories/StoriesList.vue b/src/components/stories/StoriesList.vue
index 27f292e368c..eaa9ac2bb17 100644
--- a/src/components/stories/StoriesList.vue
+++ b/src/components/stories/StoriesList.vue
@@ -56,7 +56,11 @@
     const activeCompanySize = ref("")
 
     const industries = computed(() => {
-        const set = new Set(props.stories.map((s) => s.industry).filter(Boolean))
+        const set = new Set<string>()
+        for (const s of props.stories) {
+            if (s.industry) set.add(s.industry)
+            if (s.industry2) set.add(s.industry2)
+        }
         return Array.from(set).sort()
     })
 
@@ -73,7 +77,7 @@
 
     const filteredStories = computed(() => {
         return props.stories.filter((s) => {
-            const industryMatch = !activeIndustry.value || s.industry === activeIndustry.value
+            const industryMatch = !activeIndustry.value || s.industry === activeIndustry.value || s.industry2 === activeIndustry.value
             const regionMatch = !activeRegion.value || s.region === activeRegion.value
             const useCaseMatch = !activeUseCase.value || s.useCaseShort === activeUseCase.value
             const companySizeMatch = !activeCompanySize.value || s.companySize === activeCompanySize.value
diff --git a/src/components/stories/StoryGallery.astro b/src/components/stories/StoryGallery.astro
index 17508fdb104..6e0ae26fc55 100644
--- a/src/components/stories/StoryGallery.astro
+++ b/src/components/stories/StoryGallery.astro
@@ -1,5 +1,4 @@
 ---
-import LogoBar from "~/components/home/LogoBar.astro"
 import FeaturedCarousel from "~/components/stories/FeaturedCarousel.vue"
 
 interface FeaturedStory {
@@ -56,12 +55,6 @@ const storiesWithKpis = featuredStories.map((story) => ({
 
         <FeaturedCarousel stories={storiesWithKpis} client:idle />
     </div>
-
-    <div class="logo-bar-outer">
-        <div class="container">
-            <LogoBar />
-        </div>
-    </div>
 </section>
 
 <section class="stories-list-section">
@@ -113,16 +106,6 @@ const storiesWithKpis = featuredStories.map((story) => ({
         }
     }
 
-    .logo-bar-outer {
-        border-top: 1px solid rgba(255, 255, 255, 0.07);
-        padding: 2rem 1rem;
-
-        .container {
-            max-width: 1180px;
-            padding-bottom: 0;
-        }
-    }
-
     .stories-list-section {
         background: var(--ks-background-body);
     }
diff --git a/src/content.config.ts b/src/content.config.ts
index 2b7af778cd8..217a1c96116 100644
--- a/src/content.config.ts
+++ b/src/content.config.ts
@@ -146,6 +146,7 @@ export const collections = {
                 quotePerson: z.string(),
                 quotePersonTitle: z.string(),
                 industry: z.string(),
+                industry2: z.string().optional(),
                 region: z.string(),
                 headquarter: z.string(),
                 solution: z.string(),
diff --git a/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md b/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
index 1c9eedcc7bb..943c54ad69f 100644
--- a/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
+++ b/src/contents/customer-stories/a-solopreneurs-journey-how-networklessons-leverage-kestra-to-automate-his-business/index.md
@@ -21,13 +21,13 @@ tasks:
   - io.kestra.plugin.aws.lambda.Invoke
 kpi1: |-
   ##### Cut
-  Maintenance time
+  maintenance time
 kpi2: |-
   ##### Increased
-  Response rate to customers
+  response rate to customers
 kpi3: |-
   ##### Improved
-  Automation capabilities
+  automation capabilities
 quote: Being used to Python orchestration frameworks, using Kestra has been
   refreshing! Integration with my APIs, ChatGPT, and migrating my AWS Lambda
   functions is effortless with Kestra. It works so well. I'm sticking to Kestra!
diff --git a/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md b/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
index 2e6f44dfa3d..bf9815ca050 100644
--- a/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
+++ b/src/contents/customer-stories/airpaz-optimizes-travel-data-workflows-with-kestra/index.md
@@ -17,13 +17,13 @@ tasks:
   - io.kestra.plugin.jdbc.clickhouse.Query
 kpi1: |-
   ##### 70%
-  Reduction in manual data processing
+  reduction in manual data processing
 kpi2: |-
   ##### Improved
   data pipeline reliability
 kpi3: |-
   ##### 10
-  Connected Sources
+  connected sources
 quote: Thank you for your hard work in creating this good software. It is
   beginner-friendly and easy to customize.
 quotePerson: Daniel Theodorus
diff --git a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
index 8711930d969..2c0cb93b03a 100644
--- a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
+++ b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
@@ -15,17 +15,18 @@ tasks:
   - io.kestra.plugin.core.flow.Parallel
 kpi1: |-
   ##### Days → Hours
-  Environment delivery time
+  environment delivery time
 kpi2: |-
   ##### Validated on Delivery
-  Test-ready environments out of the box
+  test-ready environments out of the box
 kpi3: |-
   ##### 2 Months
-  From evaluation to production
+  from evaluation to production
 quote: From a technical point of view, Kestra sits at the first place.
 quotePerson: Alex Lernerman
 quotePersonTitle: DevOps Engineer, Amdocs
-industry: Telecom & Technology Services
+industry: Telecom
+industry2: Technology Services
 headquarter: Chesterfield, Missouri, United States
 region: North America
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/icon.svg b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/icon.svg
new file mode 100644
index 00000000000..f8300284dff
--- /dev/null
+++ b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/icon.svg
@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="64" height="64" viewBox="-203.84 -125 1250 1250">
+  <path fill="#fff" d="M824.66636 779.30363c-15.12299 34.93724-33.02368 67.09674-53.7638 96.66374-28.27076 40.3074-51.4182 68.2078-69.25717 83.7012-27.65347 25.4313-57.2822 38.4556-89.00964 39.1963-22.77708 0-50.24539-6.4813-82.21973-19.629-32.07926-13.0861-61.55985-19.5673-88.51583-19.5673-28.27075 0-58.59083 6.4812-91.02193 19.5673-32.48053 13.1477-58.64639 19.9994-78.65196 20.6784-30.42501 1.29623-60.75123-12.0985-91.02193-40.2457-19.32039-16.8514-43.48632-45.7394-72.43607-86.6641-31.060778-43.7024-56.597041-94.37983-76.602609-152.15586C10.740416 658.44309 0 598.01283 0 539.50845c0-67.01648 14.481044-124.8172 43.486336-173.25401C66.28194 327.34823 96.60818 296.6578 134.5638 274.1276c37.95566-22.53016 78.96676-34.01129 123.1321-34.74585 24.16591 0 55.85633 7.47508 95.23784 22.166 39.27042 14.74029 64.48571 22.21538 75.54091 22.21538 8.26518 0 36.27668-8.7405 83.7629-26.16587 44.90607-16.16001 82.80614-22.85118 113.85458-20.21546 84.13326 6.78992 147.34122 39.95559 189.37699 99.70686-75.24463 45.59122-112.46573 109.4473-111.72502 191.36456.67899 63.8067 23.82643 116.90384 69.31888 159.06309 20.61664 19.56727 43.64066 34.69027 69.2571 45.4307-5.55531 16.11062-11.41933 31.54225-17.65372 46.35662zM631.70926 20.0057c0 50.01141-18.27108 96.70693-54.6897 139.92782-43.94932 51.38118-97.10817 81.07162-154.75459 76.38659-.73454-5.99983-1.16045-12.31444-1.16045-18.95003 0-48.01091 20.9006-99.39207 58.01678-141.40314 18.53027-21.27094 42.09746-38.95744 70.67685-53.0663C578.3158 9.00229 605.2903 1.31621 630.65988 0c.74076 6.68575 1.04938 13.37191 1.04938 20.00505z"/>
+</svg>
diff --git a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
index 5b210353e61..bacdccc88fb 100644
--- a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
+++ b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
@@ -8,6 +8,7 @@ heroImage: ./hero.jpeg
 featuredImage: ./hero.jpeg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.scripts.python.Commands
   - io.kestra.plugin.aws.s3.Upload
@@ -15,18 +16,18 @@ tasks:
   - io.kestra.plugin.core.flow.Parallel
 kpi1: |-
   ##### 200
-  ML Engineers on Kestra
+  ML engineers on Kestra
 kpi2: |-
   ##### Language-Agnostic
-  Declarative YAML Pipelines
+  declarative YAML pipelines
 kpi3: |-
   ##### Massive Scale
-  ETL Across App Store, Apple Music & More
+  ETL across App Store, Apple Music & more
 quote: I want to highlight their robustness, which is crucial at our scale. Few
   companies operate at this level, especially in AI/ML.
 quotePerson: Senior Engineering Manager
 quotePersonTitle: Apple ML Team
-industry: Technology
+industry: Technology Services
 headquarter: Cupertino, USA
 region: North America
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/icon.svg b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/icon.svg
new file mode 100644
index 00000000000..4751a492110
--- /dev/null
+++ b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/icon.svg
@@ -0,0 +1,4 @@
+<svg width="64" height="64" viewBox="0 0 64 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <path fill-rule="evenodd" clip-rule="evenodd" fill="#ffffff"
+    d="M7 50 L32 12 L57 50 Z M20 50 L32 28 L44 50 Z M26 50 L32 36 L38 50 Z" />
+</svg>
diff --git a/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
index 8180d94f156..f7b4990d46d 100644
--- a/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
+++ b/src/contents/customer-stories/boosted-productivity-slashed-costs-and-accelerated-delivery/index.md
@@ -9,6 +9,7 @@ featured: false
 featuredImage: ./hero.png
 logo: ./logo.png
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.dbt.cli.DbtCLI
   - io.kestra.plugin.gcp.bigquery.Query
diff --git a/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md b/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
index 34bae6aca05..1f040326922 100644
--- a/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
+++ b/src/contents/customer-stories/bouygues-immobilier-platform-orchestrate-its-marketing-data-with-kestra/index.md
@@ -20,19 +20,20 @@ tasks:
   - io.kestra.plugin.dbt.cli.Build
 kpi1: |-
   ##### Plug&Play
-  Integrations 
+  integrations
 kpi2: |-
   ##### 2x
-  Increased Conversion Rates
+  increased conversion rates
 kpi3: |-
   ##### Automated
-  Marketing Campaigns
+  marketing campaigns
 quote: When we discovered Kestra, it was instant love at first sight! It's the
   perfect solution to streamline all our projects, and it's now become our go-to
   orchestration platform
 quotePerson: Hamis Badarou
 quotePersonTitle: ""
-industry: Investment and Banking
+industry: Investment
+industry2: Banking
 headquarter: Paris, France
 region: Europe
 companySize: "51–500"
diff --git a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
index 6a9aafe15ba..dbb4a062783 100644
--- a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
+++ b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/icon.svg
@@ -4,4 +4,5 @@
 <path d="M120.408 6.62632C120.966 6.62632 121.268 6.92777 121.268 7.48651V8.11735C121.268 8.67609 120.966 8.97754 120.408 8.97754H106.863C106.305 8.97754 106.003 8.67609 106.003 8.11735V7.48651C106.003 6.92777 106.305 6.62632 106.863 6.62632H120.408Z" fill="#B0131D"/>
 <path d="M120.408 48.7365C120.966 48.7365 121.268 49.0379 121.268 49.5967V50.2275C121.268 50.7862 120.966 51.0879 120.408 51.0879H106.863C106.305 51.0879 106.003 50.7862 106.003 50.2275V49.5967C106.003 49.0379 106.305 48.7365 106.863 48.7365H120.408Z" fill="#B0131D"/>
 <path d="M120.408 42.6994C120.966 42.6994 121.268 43.001 121.268 43.5598V44.1906C121.268 44.7493 120.966 45.0508 120.408 45.0508H106.863C106.305 45.0508 106.003 44.7493 106.003 44.1906V43.5598C106.003 43.001 106.305 42.6994 106.863 42.6994H120.408Z" fill="#B0131D"/>
+<path fill-rule="evenodd" clip-rule="evenodd" d="M105.371 29.3808C105.371 27.0137 106.516 25.8687 108.883 25.8687H118.388C120.756 25.8687 121.9 27.0137 121.9 29.3808V34.3687C121.9 36.7358 120.756 37.8809 118.388 37.8809H108.883C106.516 37.8809 105.371 36.7358 105.371 34.3687V29.3808ZM109.331 28.22C108.512 28.22 108.123 28.6089 108.123 29.4282V34.3213C108.123 35.1406 108.512 35.5295 109.331 35.5295H117.94C118.759 35.5295 119.148 35.1406 119.148 34.3213V29.4282C119.148 28.6089 118.759 28.22 117.94 28.22H109.331Z" fill="#FFFFFF"/>
 </svg>
diff --git a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
index 9b03447cdfe..2d641b9732b 100644
--- a/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
+++ b/src/contents/customer-stories/building-a-government-grade-orchestration-control-plane-with-kestra/index.md
@@ -18,13 +18,13 @@ tasks:
   - io.kestra.plugin.jdbc.postgresql.Trigger
 kpi1: |-
   ##### 1 Control Plane
-  For private-cloud automation
+  for private-cloud automation
 kpi2: |-
   ##### 3 Weeks
-  To validate compliancy
+  to validate compliancy
 kpi3: |-
   ##### 0 Dependency
-  Fully self-hosted by design
+  fully self-hosted by design
 quote: Kestra gives us a modern orchestration platform we can run ourselves
   without compromising on governance.
 quotePerson: Platform Architect
diff --git a/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
index 3a8978cef63..ff658e2c249 100644
--- a/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
+++ b/src/contents/customer-stories/clever-cloud-offloading-terabytes-of-data-with-kestra-every-month/index.md
@@ -20,13 +20,13 @@ tasks:
   - io.kestra.plugin.core.flow.EachSequential
 kpi1: |-
   ##### 20TB
-  of Data Managed Weekly
+  of data managed weekly
 kpi2: |-
   ##### 80% 
-  Reduction in Manual Data Offloading Tasks
+  reduction in manual data offloading tasks
 kpi3: |-
   ##### 50%
-   Increase in Data Processing Speed
+   increase in data processing speed
 quote: Kestra’s automation capabilities significantly improved our data
   management processes. By automating key tasks, we optimized our workflow
   execution and made complex data processing more manageable.
diff --git a/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
index 50b8c5a7c54..fe7b036628d 100644
--- a/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
+++ b/src/contents/customer-stories/cleverconnect-enhances-hr-integration-platform-with-kestra/index.md
@@ -19,13 +19,13 @@ tasks:
   - io.kestra.plugin.git.Clone
 kpi1: |-
   ##### 10x
-  Increase in Connector Development Speed
+  increase in connector development speed
 kpi2: |
   ##### 2 Months
-  to Production Readiness
+  to production readiness
 kpi3: |-
   ##### Hundreds
-  Of new connectors created
+  of new connectors created
 quote: Thank you Kestra for your great support and for providing a best-in-class
   platform to power our integrations!
 quotePerson: Patrick Ferreira
diff --git a/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
index e19a23c3253..f80b75c3e47 100644
--- a/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
+++ b/src/contents/customer-stories/copines-de-voyage-enhancing-travel-experiences-through-advanced-data-orchestration-with-kestra/index.md
@@ -21,10 +21,10 @@ tasks:
   - io.kestra.plugin.aws.cli.AwsCLI
 kpi1: |-
   ##### X2
-  Team Efficiency
+  team efficiency
 kpi2: |-
   ##### Simplified
-  Workflow Management
+  workflow management
 kpi3: |-
   ##### Terabytes
   of data parsed from APIs
diff --git a/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md b/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
index abb7a945429..93966094d5d 100644
--- a/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
+++ b/src/contents/customer-stories/datamesh-at-scale-increased-its-data-production-by-900percent/index.md
@@ -16,7 +16,7 @@ tasks:
   - io.kestra.plugin.git.Clone
 kpi1: |-
   ##### +900%
-  In Data Production
+  in data production
 kpi2: |-
   ##### +250
   active users
diff --git a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/icon.svg b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/icon.svg
new file mode 100644
index 00000000000..e9f9b0086fe
--- /dev/null
+++ b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/icon.svg
@@ -0,0 +1,6 @@
+<svg width="64" height="64" viewBox="-5 -2 41 41" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path fill="white" d="M5.78599 17.9817L0 18.1337V1.22168H14.5178L14.3653 9.4316C14.3653 13.9009 10.2706 17.9817 5.78599 17.9817Z"></path>
+<path fill="white" d="M31.0269 17.9923V18.1357L24.1821 17.982C19.6351 17.982 15.4901 13.8529 15.4901 9.32133L15.3394 1.29102C23.9915 2.07332 30.8016 9.21772 31.0269 17.9906V17.9923Z"></path>
+<path fill="white" d="M14.5178 35.778H0V18.8643L5.69415 19.0162C10.2308 19.0162 14.3653 23.1385 14.3653 27.6579L14.5178 35.7763V35.778Z"></path>
+<path fill="white" d="M31.0266 18.8643V19.0439C30.8031 27.8185 23.9913 34.9612 15.3374 35.7435L15.4899 27.6527C15.4899 23.135 19.6227 19.0162 24.1559 19.0162L31.0266 18.8643Z"></path>
+</svg>
diff --git a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
index ed6cf6ecf32..9076455a80d 100644
--- a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
+++ b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/index.md
@@ -12,6 +12,7 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.dbt.cloud.TriggerRun
   - io.kestra.plugin.aws.s3.CreateBucket
@@ -20,10 +21,10 @@ tasks:
   - io.kestra.plugin.jdbc.postgresql.Trigger
 kpi1: |-
   ##### 40%
-  Reduction of processing time
+  reduction of processing time
 kpi2: |+
   ##### 50%
-  Increase in workflow efficiency
+  increase in workflow efficiency
 
 
 kpi3: |-
diff --git a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/logo.svg b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/logo.svg
index 72ffe77af61..b24ccbf51e8 100644
--- a/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/logo.svg
+++ b/src/contents/customer-stories/displayce-optimized-workflow-orchestration-and-enhanced-data-management/logo.svg
@@ -1,9 +1 @@
-<svg width="277" height="107" viewBox="0 0 277 107" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-<rect x="0.441406" width="276.422" height="106.903" fill="url(#pattern0_12374_10421)"/>
-<defs>
-<pattern id="pattern0_12374_10421" patternContentUnits="objectBoundingBox" width="1" height="1">
-<use xlink:href="#image0_12374_10421" transform="matrix(0.00219738 0 0 0.00568182 -0.24711 0)"/>
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diff --git a/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md b/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
index 2362ff46e85..de8fb44441d 100644
--- a/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
+++ b/src/contents/customer-stories/erp-transformation-smarter-faster-fully-automated/index.md
@@ -22,19 +22,20 @@ tasks:
   - io.kestra.plugin.jdbc.mysql.Query
 kpi1: |-
   ##### 2.5 Million
-  Monthly Executions
+  monthly executions
 kpi2: |-
   ##### 2000+
-  Workflows
+  workflows
 kpi3: |-
   ##### 25+
-  Engineers working with Kestra
+  engineers working with Kestra
 quote: Kestra has changed how we handle data orchestration. Instead of spending
   days fixing issues, we now have full visibility and control. As we scale,
   having a system that grows with us is invaluable
 quotePerson: John Kim
 quotePersonTitle: IT Lead
-industry: Retail & Manufacturing
+industry: Retail
+industry2: Manufacturing
 headquarter: Seoul, South Korea
 region: Asia Pacific
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
index 0480ec77b7c..6140aa94224 100644
--- a/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
+++ b/src/contents/customer-stories/gorgias-using-declarative-data-engineering-orchestration-with-kestra/index.md
@@ -20,13 +20,13 @@ tasks:
   - io.kestra.plugin.hightouch.Sync
 kpi1: |-
   ##### Centralized
-  Control Plane
+  control plane
 kpi2: |-
   ##### 20 000+
-  Executions per month
+  executions per month
 kpi3: |-
   ##### 70+
-  Workflows in production
+  workflows in production
 quote: Declarative Data Engineering is rising as Data teams embrace software
   practices and Kestra got this point right allowing data practitioners to
   collaborate around a common tool.
diff --git a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
index 76c992d0a69..9332f669ec6 100644
--- a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
+++ b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
@@ -18,13 +18,13 @@ tasks:
   - io.kestra.plugin.scripts.python.Script
 kpi1: |-
   ##### 100%
-  Automation runs auditable and traceable
+  automation runs auditable and traceable
 kpi2: |-
   ##### 0
-  Uncontrolled access
+  uncontrolled access
 kpi3: |-
   ##### 3 Environments
-  Regulated, standardized & Isolated
+  regulated, standardized & isolated
 quote: Kestra turned automation into a governed platform instead of a collection
   of scripts.
 quotePerson: Platform Engineering Lead
diff --git a/src/contents/customer-stories/government-soc-team/icon.svg b/src/contents/customer-stories/government-soc-team/icon.svg
new file mode 100644
index 00000000000..a4a514e16a3
--- /dev/null
+++ b/src/contents/customer-stories/government-soc-team/icon.svg
@@ -0,0 +1,15 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="900" height="600">
+<rect width="900" height="600" fill="#039"/>
+<g fill="#fc0" transform="translate(450,300)">
+<path id="s" d="M0,162.5 22.041947,230.338137 -35.664619,188.411863H35.664619L-22.041947,230.338137z"/>
+<use xlink:href="#s" y="-400"/>
+<g id="s5">
+<use xlink:href="#s" transform="rotate(30) rotate(-30,0,200)"/>
+<use xlink:href="#s" transform="rotate(60) rotate(-60,0,200)"/>
+<use xlink:href="#s" transform="rotate(90) rotate(-90,0,200)"/>
+<use xlink:href="#s" transform="rotate(120) rotate(-120,0,200)"/>
+<use xlink:href="#s" transform="rotate(150) rotate(-150,0,200)"/>
+</g>
+<use xlink:href="#s5" transform="scale(-1,1)"/>
+</g>
+</svg>
diff --git a/src/contents/customer-stories/government-soc-team/index.md b/src/contents/customer-stories/government-soc-team/index.md
index 8b6facf81f6..fe3d4efe7fe 100644
--- a/src/contents/customer-stories/government-soc-team/index.md
+++ b/src/contents/customer-stories/government-soc-team/index.md
@@ -6,6 +6,7 @@ metaTitle: Government SOC Team Replaced Palo Alto XSOAR with Kestra
 metaDescription: How a European government IT provider replaced Palo Alto XSOAR with Kestra — building 100+ SOC alert workflows fully self-hosted, with no cloud dependencies, serving multiple German federal states.
 heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.elasticsearch.Search
   - io.kestra.plugin.core.http.Request
@@ -14,11 +15,9 @@ tasks:
 kpi1: |
   100+
   SOC workflows in production
-  going live May 2026
 kpi2: |
   6
-  German federal states served
-  public sector IT and security ops
+  federal states served
 kpi3: |
   1
   SOAR platform replaced
@@ -30,7 +29,8 @@ kpi4: |
 quote: The support that came with Kestra Enterprise Edition was great. Any questions we had were solved really quickly.
 quotePerson: System Architect
 quotePersonTitle: SOC Development Team, Government IT Provider
-industry: Government & Public Sector
+industry: Government
+industry2: Public Sector
 headquarter: Germany
 region: Europe
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md b/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
index b6dbe0b28b8..9dd5f1cd47e 100644
--- a/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
+++ b/src/contents/customer-stories/htch-building-the-best-architect-collaborative-web-tool-with-kestra/index.md
@@ -17,13 +17,13 @@ tasks:
   - io.kestra.core.tasks.scripts.Python
 kpi1: |-
   ##### Easy
-  Kafka Integration
+  Kafka integration
 kpi2: |-
   ##### Terabytes
   uploaded to S3
 kpi3: |-
   ##### FULL
-  CI/CD from dev to Prod
+  CI/CD from dev to prod
 quote: The flows are pretty epic, I'm quite proud of what I've created.
 quotePerson: Michele Memoli
 quotePersonTitle: ""
diff --git a/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
index b5e7b38a7d9..40faf0708c8 100644
--- a/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
+++ b/src/contents/customer-stories/modernizing-mission-critical-e-commerce-integrations-with-kestra/index.md
@@ -9,7 +9,6 @@ featured: false
 featuredImage: ./hero.png
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
-logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.core.trigger.Webhook
   - io.kestra.plugin.core.http.Request
@@ -18,7 +17,7 @@ kpi1: |-
   BI and ETL cost reduction
 kpi2: |-
   ##### 90%
-  Integration cost reduction
+  integration cost reduction
 kpi3: |-
   ##### 0 incidents
   Black Friday
@@ -28,7 +27,8 @@ kpi4: |-
 quote: With Kestra, orchestration stopped being a fragile point in the architecture and became a stable foundation for the business.
 quotePerson: Rafael Bartalotti
 quotePersonTitle: Engineering and Architecture Manager
-industry: E-commerce & Retail
+industry: E-commerce
+industry2: Retail
 headquarter: São Paulo, Brazil
 region: Americas
 companySize: "< 100"
diff --git a/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/icon.svg b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/icon.svg
new file mode 100644
index 00000000000..58699f90632
--- /dev/null
+++ b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/icon.svg
@@ -0,0 +1,4 @@
+<svg width="64" height="64" viewBox="0 0 64 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect x="23" y="8" width="18" height="48" rx="4" fill="#00A859"/>
+<rect x="8" y="23" width="48" height="18" rx="4" fill="#00A859"/>
+</svg>
diff --git a/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
index c9914cd284f..24e3a71c1cf 100644
--- a/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
+++ b/src/contents/customer-stories/modernizing-mission-critical-workflows-in-a-highly-regulated-environment/index.md
@@ -10,19 +10,20 @@ heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
 logo: ./logo.svg
 logoDark: ./logo-dark.svg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.kafka.Trigger
   - io.kestra.plugin.scripts.python.Script
   - io.kestra.plugin.core.http.Request
 kpi1: |-
   ##### 400+
-  Pharmacy relies on Kestra workflows
+  pharmacy relies on Kestra workflows
 kpi2: |-
   ##### 50+
-  Cricital workflows modernized
+  cricital workflows modernized
 kpi3: |-
   ##### 30+ Years
-  Old platform, replaced in few months
+  old platform, replaced in few months
 quote: Stability was the turning point. With Kestra, our most critical flows
   finally run the way they should.
 quotePerson: Infrastructure Lead
diff --git a/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
index 8bf060072c8..776e38d0dab 100644
--- a/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
+++ b/src/contents/customer-stories/ntico-manage-geospatial-data-operations-with-kestra/index.md
@@ -19,7 +19,7 @@ tasks:
   - io.kestra.plugin.jdbc.postgresql.Trigger
 kpi1: |-
   ##### Terabytes
-  Of geospatial data managed
+  of geospatial data managed
 kpi2: |-
   ##### 50%
   cost reduction of processing
@@ -30,7 +30,7 @@ quote: Ntico is one of the first fans of Kestra! We use Kestra in our data
   projects and are not surprised by the community's interest. It’s a must-try!
 quotePerson: Stephane Delos
 quotePersonTitle: ""
-industry: Consulting and Integrations
+industry: Consulting
 headquarter: Villeneuve d'Ascq, France
 region: Europe
 companySize: "51–500"
diff --git a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
index f7942b45d13..5acb36bf2d7 100644
--- a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
+++ b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
@@ -31,7 +31,8 @@ quote: For the first time, with Kestra, our analysts weren’t waiting for
   changed everything.
 quotePerson: Product Owner
 quotePersonTitle: ""
-industry: Banking & Investment
+industry: Banking
+industry2: Investment
 headquarter: New York City, USA
 region: North America
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
index 7803a77584a..4c838d616f6 100644
--- a/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
+++ b/src/contents/customer-stories/quadis-drives-innovation-transforming-car-retail-operations-with-kestra/index.md
@@ -18,7 +18,7 @@ tasks:
   - io.kestra.plugin.scripts.python.Commands
 kpi1: |+
   ##### ZERO
-  Downtime
+  downtime
 
 
 kpi2: |-
diff --git a/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md b/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
index b1c99b017e2..33b6cd3154d 100644
--- a/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
+++ b/src/contents/customer-stories/reglo-automating-etl-process-with-a-simple-slack-command/index.md
@@ -19,13 +19,13 @@ tasks:
   - io.kestra.plugin.dbt.cloud.TriggerRun
 kpi1: |-
   ##### Automated
-  ETL Process
+  ETL process
 kpi2: |-
   ##### 1 day
   of manual effort saved each month
 kpi3: |-
   ##### Centralized
-  Control Plane
+  control plane
 quote: " Initially, we had to manually refresh data across three tools. Now, a
   single Slack command triggers a Kestra flow that automates Airbyte and dbt."
 quotePerson: Engineer at Reglo
diff --git a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/icon.svg b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/icon.svg
new file mode 100644
index 00000000000..05960a57ec4
--- /dev/null
+++ b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/icon.svg
@@ -0,0 +1,3 @@
+<svg width="64" height="64" viewBox="0 0 25.14 25.14" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M22.14 0H3C1.34 0 0 1.34 0 3V22.14C0 23.8 1.34 25.14 3 25.14H22.14C23.8 25.14 25.14 23.8 25.14 22.14V3C25.14 1.34 23.8 0 22.14 0ZM19 12.79C18.8 13.37 18.46 14.23 17.96 15.04C17.43 15.91 16.84 16.51 16.22 16.81C15.9 16.97 15.57 17.05 15.24 17.05C15.11 17.05 14.98 17.04 14.86 17.01C14.4 16.92 13.96 16.69 13.56 16.3C12.86 15.62 12.26 14.47 11.71 12.77C11.16 11.06 10.66 10.34 10.34 10.03C10.18 9.88 10.08 9.84 10.03 9.83C10 9.83 9.95 9.83 9.85 9.87C9.57 10 9.22 10.38 8.88 10.92C8.55 11.44 8.23 12.1 7.98 12.8C7.8 13.3 7.25 13.56 6.74 13.38C6.49 13.29 6.29 13.12 6.18 12.88C6.07 12.65 6.06 12.39 6.14 12.15C6.35 11.57 6.71 10.71 7.22 9.9C7.77 9.03 8.37 8.44 9 8.14C9.45 7.93 9.91 7.86 10.37 7.94C10.84 8.02 11.28 8.26 11.68 8.64C12.39 9.32 13 10.48 13.55 12.18C14.1 13.89 14.59 14.62 14.91 14.92C15.07 15.08 15.17 15.11 15.2 15.11C15.22 15.11 15.26 15.12 15.35 15.07C15.62 14.94 15.96 14.56 16.28 14.03C16.6 13.51 16.9 12.84 17.14 12.15C17.31 11.65 17.86 11.38 18.37 11.55C18.62 11.63 18.82 11.81 18.94 12.04C19.05 12.27 19.07 12.53 18.99 12.77L19 12.79Z" fill="#ffffff"/>
+</svg>
diff --git a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
index de36b0debb5..85914a5960a 100644
--- a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
+++ b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
@@ -6,6 +6,7 @@ metaTitle: How Riverside Connected dbt Cloud, Snowflake, and Hightouch Into a Si
 metaDescription: Riverside's analytics engineering team connected dbt Cloud, Snowflake, and Hightouch into a single dependency-aware pipeline using Kestra Cloud. No rewrites, no Python framework, no infrastructure to manage.
 heroImage: ./hero.jpg
 featuredImage: ./hero.jpg
+logoIcon: ./icon.svg
 tasks:
   - io.kestra.plugin.dbt.cloud.TriggerRun
   - io.kestra.plugin.scripts.python.Script
@@ -14,7 +15,6 @@ tasks:
 kpi1: |
   6+
   data tools orchestrated
-  ELT sources, dbt Cloud, Metaplane, Hightouch, and more
 kpi2: |
   4
   orchestrators evaluated
@@ -30,7 +30,8 @@ kpi4: |
 quote: Simply powerful yet simple enough.
 quotePerson: Hernán Estrin
 quotePersonTitle: Analytics Engineering Lead, Riverside
-industry: Media Tech / SaaS
+industry: Media Tech
+industry2: SaaS
 headquarter: Tel Aviv, Israel
 region: North America
 companySize: "51–500"
diff --git a/src/contents/customer-stories/scaling-big-data-operations/index.md b/src/contents/customer-stories/scaling-big-data-operations/index.md
index 5679d653cd1..956e30b5dbb 100644
--- a/src/contents/customer-stories/scaling-big-data-operations/index.md
+++ b/src/contents/customer-stories/scaling-big-data-operations/index.md
@@ -17,17 +17,18 @@ tasks:
   - io.kestra.plugin.scripts.python.Script
 kpi1: |
   ##### Declarative
-  Dynamic & Metadata-Driven Workflows
+  dynamic & metadata-driven workflows
 kpi2: |-
   ##### 120+
-  Engineers Empowered with Simplified Orchestration
+  engineers empowered
 kpi3: |-
   ##### 50+
-  Customers Isolated in Multi-tenant Environments
+  customers isolated in multi-tenant environments
 quote: Kestra was the only tool that combined true multi-tenant isolation, metadata-driven orchestration, and easy integration with our existing AWS and Databricks environments. It provided the foundation we needed to scale confidently.
 quotePerson: Director of Engineering
 quotePersonTitle: ""
-industry: Customer Intelligence & AI-Powered Marketing
+industry: Customer Intelligence
+industry2: Marketing
 headquarter: "Conway, Arkansas, USA"
 region: North America
 companySize: "5,000+"
diff --git a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
index 9b549acc35d..ea0e46af787 100644
--- a/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
+++ b/src/contents/customer-stories/scaling-secure-infrastructure-at-credit-agricole-with-kestra/index.md
@@ -20,15 +20,15 @@ tasks:
   - io.kestra.plugin.scripts.python.Script
 kpi1: |+
   ##### 7
-  Data Teams Unified 
+  data teams unified
 
 
 kpi2: |-
   ##### 100+
-  Managed Clusters
+  managed clusters
 kpi3: |-
   ##### Security-First
-  Orchestration
+  orchestration
 quote: Kestra allowed us to move from fragmented automation to a unified control
   plane—secure, scalable, and manageable by all our teams.
 quotePerson: Julien Legrand
diff --git a/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md b/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
index 04887416dc9..302b6fd22fc 100644
--- a/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
+++ b/src/contents/customer-stories/securing-hybrid-cloud-automation-across-it-and-ot-with-kestra/index.md
@@ -15,15 +15,15 @@ tasks:
   - io.kestra.plugin.scripts.python.Commands
   - io.kestra.plugin.servicenow.Get
 kpi1: |
-  ##### 4+1
-  Isolated automation platforms (4 OT assets + 1 IT)
+  ##### 4 <abbr title="Operational Technology">OT</abbr> + 1 <abbr title="Information Technology">IT</abbr>
+  isolated automation platforms
 kpi2: |+
   ##### 30× faster
-  Time to deliver
+  time to deliver
 
 kpi3: |+
   ##### –90%
-  In licensing cost VS Aria Automation
+  in licensing cost VS Aria Automation
 
 quote: We eliminated the high cost and risk of VMware vRA.  What used to take 6
   months now takes 6 days with Kestra!
diff --git a/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
index ebd78be4b93..9eff76d5837 100644
--- a/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
+++ b/src/contents/customer-stories/sopht-scales-its-green-itops-platform-with-kestra/index.md
@@ -21,13 +21,13 @@ tasks:
   - io.kestra.plugin.scripts.python.Script
 kpi1: |-
   ##### Plug & Play Terraform
-  Managed Flow Activation
+  managed flow activation
 kpi2: |-
   ##### 99.5%
-  Job Success Rate
+  job success rate
 kpi3: |-
   ##### Multi-Tenant
-  Customer Isolated Orchestration
+  customer isolated orchestration
 quote: Kestra’s declarative model and Terraform integration gave us exactly what
   we needed to build customer-specific pipelines, automate deployment, and
   monitor everything reliably.
diff --git a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
index 3a4fec99668..b67704d2260 100644
--- a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
+++ b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
@@ -21,13 +21,13 @@ tasks:
   - io.kestra.plugin.core.http.Request
 kpi1: |-
   ##### Zero
-  Customer training needed
+  customer training needed
 kpi2: |-
   ##### 50%
-  Reduction of Pipelines maintenance time
+  reduction of pipelines maintenance time
 kpi3: |-
   ##### 2
-  Engineers to build the product
+  engineers to build the product
 quote: Our goal is for Kestra to become the go-to solution across the
   organization whenever data wrangling and complex pipeline orchestration are
   needed.
diff --git a/src/pages/customers/index.astro b/src/pages/customers/index.astro
index 6e3c82bd90b..bd0ae85ec2f 100644
--- a/src/pages/customers/index.astro
+++ b/src/pages/customers/index.astro
@@ -31,11 +31,23 @@ const toStory = (e: (typeof allEntries)[0]) => ({
 
 const stories = allEntries.map(toStory)
 
-const featuredEntries = [
-    ...allEntries.filter((e) => e.data.featured),
-    ...allEntries.filter((e) => !e.data.featured),
-].slice(0, 5)
-const featuredStories = featuredEntries.map(toStory)
+// Featured carousel — explicit, CEO-curated order (by entry id / folder name)
+const featuredOrder = [
+    "scaling-secure-infrastructure-at-credit-agricole-with-kestra",      // Crédit Agricole
+    "erp-transformation-smarter-faster-fully-automated",                 // Fila
+    "datamesh-at-scale-increased-its-data-production-by-900percent",     // Leroy Merlin France
+    "orchestrating-cybersecurity-for-100-users-and-billions-of-rows",    // J.P. Morgan
+    "riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra",      // Riverside
+    "modernizing-mission-critical-e-commerce-integrations-with-kestra",  // Víssimo Group
+    "amdocs-delivers-integration-environments-as-a-service-with-kestra", // Amdocs
+    "when-your-api-writes-its-own-docs-with-kestra",                     // Gravitee
+    "gorgias-using-declarative-data-engineering-orchestration-with-kestra", // Gorgias
+    "scaling-big-data-operations",                                       // Acxiom
+]
+const featuredStories = allEntries
+    .filter((e) => featuredOrder.includes(e.id))
+    .sort((a, b) => featuredOrder.indexOf(a.id) - featuredOrder.indexOf(b.id))
+    .map(toStory)
 ---
 
 <Layout title={title} description={description}>
diff --git a/src/type.d.ts b/src/type.d.ts
index a506f0e7ad9..26a90524727 100644
--- a/src/type.d.ts
+++ b/src/type.d.ts
@@ -49,6 +49,7 @@ interface Story {
     quotePerson: string
     quotePersonTitle: string
     industry: string
+    industry2?: string
     region: string
     headquarter: string
     solution: string

From a005d90c2c538410d559c836f166dc5f6ed4440e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nenad=20Mali=C4=87?=
 <4789424+nenadmalic@users.noreply.github.com>
Date: Wed, 24 Jun 2026 19:32:55 +0200
Subject: [PATCH 3/5] feat(customer-stories): mobile carousel nav, industry &
 region tweaks
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- FeaturedCarousel: on mobile, move prev/next arrows to the bottom row
  flanking the dots; add side margin to the mobile card
- Software Provider industry → Cloud Provider
- Region 'North America' → 'Americas' across 6 stories
---
 src/components/stories/FeaturedCarousel.vue   | 36 ++++++++++++++++---
 .../index.md                                  |  2 +-
 .../index.md                                  |  2 +-
 .../index.md                                  |  2 +-
 .../index.md                                  |  2 +-
 .../index.md                                  |  2 +-
 .../scaling-big-data-operations/index.md      |  2 +-
 .../index.md                                  |  2 +-
 8 files changed, 38 insertions(+), 12 deletions(-)

diff --git a/src/components/stories/FeaturedCarousel.vue b/src/components/stories/FeaturedCarousel.vue
index 4c478ebd2cf..a26201ca589 100644
--- a/src/components/stories/FeaturedCarousel.vue
+++ b/src/components/stories/FeaturedCarousel.vue
@@ -196,14 +196,40 @@ onUnmounted(() => {
 
 <style scoped>
 /* ── track ── */
-.fc-carousel-row {
-    display: flex;
+/* desktop: arrows flank the track, dots centered below.
+   mobile: track full-width, arrows drop to the bottom row flanking the dots. */
+.fc-root {
+    display: grid;
+    grid-template-columns: auto minmax(0, 1fr) auto;
+    grid-template-areas:
+        "prev track next"
+        "nav  nav   nav";
     align-items: center;
-    gap: 0.75rem;
+    column-gap: 0.75rem;
+    row-gap: 1.25rem;
+}
+
+/* promote the row's children (arrows + track) into the .fc-root grid */
+.fc-carousel-row {
+    display: contents;
+}
+
+.fc-carousel-row > .fc-arrow:first-child { grid-area: prev; }
+.fc-carousel-row > .fc-arrow:last-child  { grid-area: next; }
+
+@media (max-width: 767px) {
+    .fc-root {
+        grid-template-areas:
+            "track track track"
+            "prev  nav   next";
+        column-gap: 0.5rem;
+        padding-left: 0.75rem;
+        padding-right: 0.75rem;
+    }
 }
 
 .fc-track {
-    flex: 1;
+    grid-area: track;
     min-width: 0;
 }
 
@@ -464,9 +490,9 @@ onUnmounted(() => {
 
 /* ── nav ── */
 .fc-nav {
+    grid-area: nav;
     display: flex;
     justify-content: center;
-    padding-top: 1.25rem;
 }
 
 .fc-arrow {
diff --git a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
index 2c0cb93b03a..9f82b907eb7 100644
--- a/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
+++ b/src/contents/customer-stories/amdocs-delivers-integration-environments-as-a-service-with-kestra/index.md
@@ -28,7 +28,7 @@ quotePersonTitle: DevOps Engineer, Amdocs
 industry: Telecom
 industry2: Technology Services
 headquarter: Chesterfield, Missouri, United States
-region: North America
+region: Americas
 companySize: "5,000+"
 solution: Infrastructure Orchestration & Environment-as-a-Service
 tagline: Global provider of software and services for communications and media companies
diff --git a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
index bacdccc88fb..ad26feedb99 100644
--- a/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
+++ b/src/contents/customer-stories/apple-ml-team-orchestrates-large-scale-data-pipelines-with-kestra/index.md
@@ -29,7 +29,7 @@ quotePerson: Senior Engineering Manager
 quotePersonTitle: Apple ML Team
 industry: Technology Services
 headquarter: Cupertino, USA
-region: North America
+region: Americas
 companySize: "5,000+"
 solution: Apple is a global technology leader whose services, including the App Store, Apple Music, and device ecosystems, generate some of the world's largest data volumes, processed daily by a 200-engineer ML team.
 tagline: Global technology company behind iPhone, Mac, and the world's largest app marketplace
diff --git a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
index 9332f669ec6..a7cd1c188b0 100644
--- a/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
+++ b/src/contents/customer-stories/governed-self-service-cloud-automation-in-regulated-environments-with-kestra/index.md
@@ -29,7 +29,7 @@ quote: Kestra turned automation into a governed platform instead of a collection
   of scripts.
 quotePerson: Platform Engineering Lead
 quotePersonTitle: ""
-industry: Enterprise Software (Regulated Industries)
+industry: Cloud Provider
 headquarter: Switzerland
 region: Europe
 companySize: "501–5,000"
diff --git a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
index 5acb36bf2d7..e368db47a29 100644
--- a/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
+++ b/src/contents/customer-stories/orchestrating-cybersecurity-for-100-users-and-billions-of-rows/index.md
@@ -34,7 +34,7 @@ quotePersonTitle: ""
 industry: Banking
 industry2: Investment
 headquarter: New York City, USA
-region: North America
+region: Americas
 companySize: "5,000+"
 solution: Helping power economic growth by creating opportunities for all through business and community investments, local collaborations and policy advocacy.
 tagline: Global financial services and investment banking leader
diff --git a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
index 85914a5960a..d53437c90fa 100644
--- a/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
+++ b/src/contents/customer-stories/riverside-orchestrates-dbt-cloud-analytics-stack-with-kestra/index.md
@@ -33,7 +33,7 @@ quotePersonTitle: Analytics Engineering Lead, Riverside
 industry: Media Tech
 industry2: SaaS
 headquarter: Tel Aviv, Israel
-region: North America
+region: Americas
 companySize: "51–500"
 solution: Orchestration layer connecting ELT ingestion, sequential dbt Cloud jobs, Metaplane data quality gates, and Hightouch reverse ETL across Riverside's Snowflake-based analytics stack
 tagline: Remote recording platform for podcasts and video interviews
diff --git a/src/contents/customer-stories/scaling-big-data-operations/index.md b/src/contents/customer-stories/scaling-big-data-operations/index.md
index 956e30b5dbb..fd53ec72e1e 100644
--- a/src/contents/customer-stories/scaling-big-data-operations/index.md
+++ b/src/contents/customer-stories/scaling-big-data-operations/index.md
@@ -30,7 +30,7 @@ quotePersonTitle: ""
 industry: Customer Intelligence
 industry2: Marketing
 headquarter: "Conway, Arkansas, USA"
-region: North America
+region: Americas
 companySize: "5,000+"
 solution: Acxiom is a data technology company that provides customer data management, data integration, and marketing intelligence to global enterprise brands. Through its Axiom Cloud platform, Acxiom helps clients ingest, validate, cleanse, and enrich data at scale, with each client running as an isolated tenant in a dedicated pipeline environment.
 tagline: Global leader in customer intelligence and AI-driven marketing
diff --git a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
index b67704d2260..51039362c35 100644
--- a/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
+++ b/src/contents/customer-stories/when-your-api-writes-its-own-docs-with-kestra/index.md
@@ -35,7 +35,7 @@ quotePerson: Rémi Sultan
 quotePersonTitle: AI/ML Lead
 industry: API Management
 headquarter: Denver, Colorado, USA
-region: North America
+region: Americas
 companySize: "51–500"
 solution: Gravitee brings modern DevOps principles to API management with built-in support for GitOps, Kubernetes, and APIOps.
 tagline: Open-source API management platform for modern DevOps teams

From aff30ea2ebf2e1f6e4606e3c5c897587476e7c5a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nenad=20Mali=C4=87?=
 <4789424+nenadmalic@users.noreply.github.com>
Date: Thu, 25 Jun 2026 00:26:22 +0200
Subject: [PATCH 4/5] feat(customer-stories): hero accent dot + bottom-align
 card sections

- Hero h1: color the closing period pink (#f62e76)
- Card: wrap use-case/KPIs/footer in .card-bottom anchored with margin-top:auto
  so they stay bottom-aligned regardless of .card-short-desc height
  (fixes 3-column card breakage between 768-1100px)
---
 src/components/stories/Card.vue           | 39 +++++++++++++----------
 src/components/stories/StoryGallery.astro |  6 +++-
 2 files changed, 28 insertions(+), 17 deletions(-)

diff --git a/src/components/stories/Card.vue b/src/components/stories/Card.vue
index e1618bc2d3e..6f1c0bbf642 100644
--- a/src/components/stories/Card.vue
+++ b/src/components/stories/Card.vue
@@ -21,21 +21,23 @@
             </div>
         </div>
 
-        <p v-if="story.useCase" class="card-use-case">
-            <span class="card-use-case-label">→</span> {{ story.useCase }}
-        </p>
-
-        <KpiRotator :kpis="kpis" />
-
-        <div class="card-footer">
-            <span class="card-plugins-label">Plugins Used :</span>
-            <div class="card-tasks">
-                <div
-                    class="task-icon-wrap"
-                    v-for="task in story.tasks.slice(0, 4)"
-                    :key="task"
-                >
-                    <TaskIcon :cls="task" />
+        <div class="card-bottom">
+            <p v-if="story.useCase" class="card-use-case">
+                <span class="card-use-case-label">→</span> {{ story.useCase }}
+            </p>
+
+            <KpiRotator :kpis="kpis" />
+
+            <div class="card-footer">
+                <span class="card-plugins-label">Plugins Used :</span>
+                <div class="card-tasks">
+                    <div
+                        class="task-icon-wrap"
+                        v-for="task in story.tasks.slice(0, 4)"
+                        :key="task"
+                    >
+                        <TaskIcon :cls="task" />
+                    </div>
                 </div>
             </div>
         </div>
@@ -175,6 +177,12 @@
         min-height: calc(0.8125rem * 1.5 * 3);
     }
 
+    /* the bottom group (use-case + KPIs + footer) sticks to the bottom,
+       so its position is independent of the .card-short-desc height */
+    .card-bottom {
+        margin-top: auto;
+    }
+
     .card-use-case {
         font-size: 0.8125rem;
         line-height: 1.5;
@@ -196,7 +204,6 @@
         display: flex;
         align-items: center;
         justify-content: space-between;
-        margin-top: auto;
         padding-top: 0.75rem;
         gap: 0.5rem;
     }
diff --git a/src/components/stories/StoryGallery.astro b/src/components/stories/StoryGallery.astro
index 6e0ae26fc55..04455bdd3e8 100644
--- a/src/components/stories/StoryGallery.astro
+++ b/src/components/stories/StoryGallery.astro
@@ -49,7 +49,7 @@ const storiesWithKpis = featuredStories.map((story) => ({
 <section class="stories-hero">
     <div class="container">
         <div class="hero-intro">
-            <h1>Trusted worldwide as the default<br />workflow orchestration platform.</h1>
+            <h1>Trusted worldwide as the default<br />workflow orchestration platform<span class="accent-dot">.</span></h1>
             <p class="hero-sub">Browse stories from engineering teams across every industry. Find the use case that matches yours — and see exactly how they built it.</p>
         </div>
 
@@ -95,6 +95,10 @@ const storiesWithKpis = featuredStories.map((story) => ({
             color: white;
             letter-spacing: -0.02em;
             margin: 0 0 1rem;
+
+            .accent-dot {
+                color: #f62e76;
+            }
         }
 
         .hero-sub {

From a1bf781937c8ab8cceeeb4918519d1ed24d2415b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nenad=20Mali=C4=87?=
 <4789424+nenadmalic@users.noreply.github.com>
Date: Thu, 25 Jun 2026 00:50:58 +0200
Subject: [PATCH 5/5] feat(nav): point Customer Stories dropdown to /customers

Old /use-cases/stories listing 301-redirects to /customers (handled in
redirects/use-cases.yml), so update the nav link to the canonical URL.
---
 src/utils/menu-items.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/utils/menu-items.ts b/src/utils/menu-items.ts
index 7996f9a42a7..236df9dfbe1 100644
--- a/src/utils/menu-items.ts
+++ b/src/utils/menu-items.ts
@@ -165,7 +165,7 @@ export const menuItems: MenuItems = {
             {
                 icon: FormatQuoteCloseOutline,
                 title: "Customer Stories",
-                link: "/use-cases/stories"
+                link: "/customers"
             },
             {
                 icon: School,