ワンクリックで
instrumentation-planning
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | instrumentation-planning |
| description | Plan backend observability using RED + USE + 4 Golden Signals + JTBD |
| triggers | ["what should I measure","what metrics do I need","observability plan","instrumentation strategy","which metrics matter"] |
| priority | 1 |
"What job is this telemetry helping someone accomplish?"
Every metric/span should answer a job. If you can't name the job, don't add the telemetry.
| Service Type | Use |
|---|---|
| HTTP/gRPC APIs | RED (Rate, Errors, Duration) |
| Resources (pools, memory) | USE (Utilization, Saturation, Errors) |
| Comprehensive SRE | 4 Golden Signals |
| Tier | What | Examples |
|---|---|---|
| T0: Foundation | Must have | Service tags, HTTP middleware, error tracking, health checks |
| T1: Performance | Should have | RED per endpoint, DB tracing, external service spans, context propagation |
| T2: Resources | Should have | USE for pools, memory/GC, queue depth |
| T3: Business | Nice to have | JTBD tags, user tier, feature flags |
| T4: Resilience | Nice to have | Circuit breaker state, retry counts, timeouts |
Link observability to user value:
| Job | Success | Failure | Friction |
|---|---|---|---|
| "Place order" | Order created <2s | Order error | Retries >0, duration >5s |
| "Process payment" | Payment success | Declined | Gateway timeout |
Present prioritized instrumentation plan organized by tier, with specific metrics and implementation order.
Load based on need:
references/methodology/red-methodology.mdreferences/methodology/use-methodology.mdreferences/methodology/four-golden-signals.mdreferences/methodology/jtbd-for-backend.mdTrack cache hit rates, latency, and detect cache-related issues
Instrument database queries, connection pools, and detect N+1 queries
Capture errors with rich context for debugging and alerting
Implement liveness, readiness, and dependency health checks
Monitor message queues, job processing, and detect backpressure
Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics