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14.14 Observability, Telemetry & Operational SRE
1. What It Is in Plain Words
Observability is the ability to infer the internal health, performance, and failure modes of a distributed system using external telemetry data: structured logs, numerical metrics, and distributed execution traces.
2. TruthGuard Observability Architecture
3. The Three Pillars of Observability Applied
- Structured Logging (JSON):
- Every log message contains standardized metadata:
json{ "timestamp": "2026-10-25T14:32:01.450Z", "level": "WARN", "correlationId": "corr_7f9a2b8c-1234", "service": "edge-analyze-media", "analystId": "4a2b918f-1234", "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "event": "TAMPERING_FLAGGED", "durationMs": 42 } - Metrics:
- RED Method: Rate (RPS), Errors (HTTP 4xx/5xx count), Duration (P50, P95, P99 latency percentiles).
- Distributed Tracing (Correlation IDs):
- When an analyst clicks "Analyze", the client attaches an
X-Correlation-IDheader. This ID travels across the API gateway, the Deno Edge Function, and PostgreSQL query tags, allowing SREs to trace end-to-end request latency.
- When an analyst clicks "Analyze", the client attaches an
4. Zero-Downtime Deployment Strategies
- Blue-Green Deployments: Maintain two identical production environments (Blue and Green). New releases deploy to Green; once smoke tests pass, router switches traffic instantly.
- Canary Deployments: Route 5% of analyst traffic to the new Edge Function release. If error rates remain flat for 15 minutes, scale to 100%.
5. 30-Second Spoken Interview Answer
"We implement observability across the three pillars: structured JSON logs, RED metrics, and distributed tracing via correlation IDs.
When an analyst submits media, an
X-Correlation-IDheader tracks the request through our edge functions down to PostgreSQL query execution. For deployments, we use canary rollouts to route 5% of traffic to new edge models before full promotion, guaranteeing zero downtime and immediate rollback capability."