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Blog: NudgeBee v1.4.0 hands-on — self-hosted AI SRE copilot - #258

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Blog: NudgeBee v1.4.0 hands-on — self-hosted AI SRE copilot#258
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What

New blog post: "I Ran an AI SRE Copilot on My Own Hardware. Here Is What It Actually Does."

A hands-on review of NudgeBee v1.4.0, run end to end:

  • Control plane: all 18 services via Docker Compose (with real install notes/gotchas)
  • Tenant cluster: 3-node k3s on kiac (VM-per-node), connected via the outbound websocket relay
  • Inference: Ollama on a DGX Spark through the OpenAI-compatible endpoint
  • A completed AI investigation with a verified root cause (5-Whys, evidence sources, resolution)
  • 13 real screenshots + 3 hand-drawn-style architecture diagrams
  • Quick start (Helm OCI + Compose), six usage scenarios, BYO-model guidance, production cautions

Notes for review

  • This PR exists to generate a Cloudflare Pages preview to share with the NudgeBee team for a technical read-through. Do not merge until they've reviewed — merging publishes.
  • The draft: true flag was intentionally omitted so the preview build renders the post (the site filters drafts in production builds).
  • All commands and outputs in the post were executed for real, except the control-plane helm install (Path 1), which is verbatim from the official README.

Post URL on preview: /blog/nudgebee-ai-sre-copilot-hands-on

🤖 Generated with Claude Code

Hands-on review of NudgeBee v1.4.0: Docker Compose control plane,
kiac Kubernetes cluster, Ollama on a DGX Spark, real screenshots
and a completed AI root-cause investigation.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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cloudflare-workers-and-pages Bot commented Aug 12, 2026

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Deploying website with  Cloudflare Pages  Cloudflare Pages

Latest commit: fbeac43
Status: ✅  Deploy successful!
Preview URL: https://ce39dd12.website-dab.pages.dev
Branch Preview URL: https://blog-nudgebee-ai-sre-copilot.website-dab.pages.dev

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saiyam1814 and others added 2 commits August 13, 2026 11:59
…eedback

Covers the auto-generated Knowledge Graph, Service Map topology, and the
multi-tiered usage-based memory layer, grounded in the run's own log
evidence (memory extraction, kb_sync, tool-call cache, history comparison),
plus the token/cost/hallucination economics vs naive agent loops.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…-slop pass

- Fix architecture diagram flows: Qdrant->llm-server, Temporal->workflow-server,
  Postgres/Redis shared by all services (per NudgeBee team)
- Reframe Ollama section: docs' OpenAI-compatible path is correct; only the
  'ollama' provider value in the sample env is unwired in v1.4.0
- Note workflow-server/runbook-server naming alias
- Founder SEO feedback: AIOps in seoDescription, TL;DR definition sentence,
  unified AIOps/CloudOps phrasing, shared-platform sentence after table,
  bCortex multi-agent callback, six-scenarios lead-in, extended conclusion
- Remove AI-writing patterns while keeping the hands-on voice

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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