Observability and Runbooks
Operate integrations with actionable metrics, logs, alerts, and runbooks that support rapid incident response.
#Purpose
Defines monitoring and incident-response expectations for production integration ownership.
#Integration prerequisites
- Centralized logging with correlation IDs preserved end to end.
- Metrics pipeline tracking API, queue, and webhook health indicators.
- On-call ownership and escalation matrix documented and tested.
#Request and response patterns
Capture request status, latency, and normalized error class for all API interactions and event-processing attempts.
#Lifecycle and state model
- Ingest signals from request path, async processing, and reconciliation jobs.
- Evaluate against thresholds and trigger alerts by severity tier.
- Run incident playbook and close only after mitigation and verification.
#Error and failure taxonomy
- Silent failures due to missing instrumentation fields.
- Noisy alerts without action context causing fatigue.
- Runbook gaps where remediation steps are unclear or outdated.
#Retry and idempotency guidance
Runbooks should specify when retries are safe, when to pause automation, and when manual intervention is mandatory.
#Observability and debugging entry points
- Core metrics: success rate, latency, retry volume, event lag, dead-letter depth.
- Core logs: request ID, idempotency key, operation ID, normalized error class.
- Core alerts: prolonged pending states, sustained 429/5xx spikes, replay queue growth.