WFGY/ProblemMap/ops/deployment_checklist.md
2025-08-15 23:36:20 +08:00

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Deployment checklist — RAG pipeline (pre-deploy & post-deploy)

Purpose: a short, rigorous checklist to verify your environment and reduce bootstrap/dependency issues during deployment.


Before you deploy (pre-flight)

1) Environment & prerequisites

  • Kubernetes cluster accessible; kubectl points to correct context.
    kubectl config current-context
    kubectl get nodes
    
    
    
  • Ensure cluster resources: CPU / memory / ephemeral storage for vectorstore. Confirm quotas.
  • Secrets: API keys (LLM), db credentials, vectorstore creds in k8s Secret or vault.
  • Helm chart / manifests: reviewed and values set for production (replicas, resources, liveness/readiness).

2) Configuration sanity

  • values.yaml contains:

    • resources.requests and limits for retriever/generator.
    • replicaCount >= 2 for critical services (if expected load > small).
    • readinessProbe and livenessProbe configured.
  • Vector store sizing: index_shards, disk IOPS, memory (embedding index memory).

  • Network egress rules for model API (if external LLM).

3) Observability & alarms

  • Prometheus scraping configured for app metrics endpoints (/metrics).
  • Default dashboards in Grafana (latency, error-rate, retriever QPS, CHR).
  • Alerts configured (see live_monitoring_rag.md for suggested alerts).

Deploy steps

  1. Create namespace & secrets:

    kubectl create ns rag-prod || true
    kubectl -n rag-prod apply -f k8s/secrets.yaml
    
  2. Install/upgrade Helm chart:

    helm upgrade --install rag . -n rag-prod -f values.prod.yaml
    
  3. Wait for pods to be ready (watch):

    kubectl -n rag-prod rollout status deploy/rag-api -w
    kubectl -n rag-prod get pods -o wide
    
  4. Smoke tests (simple requests):

    curl -fsS http://<ingress>/healthz
    curl -fsS -X POST http://<ingress>/api/qa -d '{"qid":"smoke-1","q":"Who is the CEO of WFGY?" }' | jq
    

Post-deploy checks (first 15 minutes)

  • Confirm retriever returns docs for 10 sample queries:

    • Use your retrieval debug endpoint to inspect retrieved_ids.
  • Confirm p95 E2E latency ≤ target (by env). Collect from Grafana or kubectl logs.

  • Confirm CHR on 10 smoke items ≥ expected baseline (manually assert correctness).

  • Check for error spikes in logs:

    kubectl -n rag-prod logs -l app=rag --since=10m | egrep "ERROR|WARN" | head -n 200
    

Common config gotchas (double-check)

  • Vectorstore read-only mode accidentally set? (affects writes)
  • LLM rate-limiting / auth errors (wrong key or quota).
  • Wrong index/namespace names between chunker and retriever (off-by-one).
  • Probes misconfigured — containers get restarted continuously.

Rollback criteria

Rollback if any of:

  • P95 > target and sustained for 10m.
  • Error rate > 3× baseline and not transient.
  • Retrieval failures (empty pool) > 1% of requests.

Rollback command example:

helm rollback rag <previous_revision> -n rag-prod

Quick checklist (copy/paste)

  • Namespace created, secrets applied
  • Helm values validated (resources, probes)
  • Prometheus/Grafana dashboards in place
  • Smoke tests passed (health & basic QA)
  • Alerts deployed
  • Canary traffic small → monitor 1030 min


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