observability-architecture

Observability architecture design unifies logs, metrics, and traces to provide reliable system monitoring. You define log schemas with correlationId, per-service metrics, OpenTelemetry tracing, health endpoints, and alerting rules to ensure proactive degradation detection.

Correlating logs, metrics, and traces requires a unified observability architecture using a correlationId in JSON log schemas. This links distributed service events to OpenTelemetry traces, enabling precise root cause analysis and service health monitoring.

Defining SLIs and alerting rules involves mapping per-service metrics to your Service Level Objectives. The architecture specifies health endpoints and degradation thresholds to trigger proactive alerts before system reliability drops below target levels.

OpenTelemetry is required for tracing in this observability architecture. It standardizes trace propagation across distributed services, linking execution paths with logs and metrics to provide comprehensive system visibility.

The recommended log schema format is JSON, structured with required fields like correlationId and tenantId. This standardized structure ensures logs can be effectively searched, filtered, and correlated with metrics and traces.

Yes, this observability architecture applies to any distributed system requiring correlation, SLIs, and proactive alerting across services. You adapt the log schemas, metrics, and tracing rules to match your specific service topology.