feat(blogs): add "Evaluating and Monitoring LLM Apps" post#4921
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vfanucci wants to merge 3 commits into
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feat(blogs): add "Evaluating and Monitoring LLM Apps" post#4921vfanucci wants to merge 3 commits into
vfanucci wants to merge 3 commits into
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Closes the LLM series with the eval-and-monitoring loop: scheduled offline eval against a golden dataset with LLM-as-judge, CI/CD deploy gating, trigger-based online eval on sampled production traffic, drift alerting via Slack + Pause, and the governance/cost angle. Frames Kestra as the orchestration layer around existing eval/observability tools (MLflow, Langfuse, LangSmith), not a replacement. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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wrussell1999
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Jun 5, 2026
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This blog post looks at modules after the Kestra one. We don't cover evaluating or monitoring with Kestra in it so might be a bit of a stretch. Do we want to pivot this to something else? @vfanucci
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Summary
Pausefor human review, and the governance/cost angle.Notes for reviewers
2024-11-25-kestra-vs-jenkins).rag-with-gemini-and-langchain4j/main.jpg) so the build/preview passes — design can swap in the final visual later.<!-- SCREENSHOT: ... -->placeholders (eval flow topology, no-code dashboard) and one<!-- BLUEPRINT_URL: ... -->placeholder to fill in before publishing./blogs/orchestrate-rag-pipeline-kestrafeat(blogs): add "How to Orchestrate a RAG Pipeline with Kestra" #4918,/blogs/orchestrate-ai-agents-kestrafeat(blogs): add "Building Production-Ready AI Agents" post #4920) — land those first.Test plan
npm run buildsucceeds locally🤖 Generated with Claude Code