monitoring-observability

You implement structured logging and distributed tracing in FastAPI using structlog and opentelemetry-sdk. This captures request context to correlate events across distributed services for accurate bottleneck identification.

Correlating Prometheus metrics with traces during latency spikes requires matching request IDs across logs and traces. This unified observability framework pinpoints the exact microservice causing performance degradation.

Yes, you can configure liveness and readiness probes for SRE reliability using standardized health monitoring templates. These endpoints track service availability and support automated incident response to minimize downtime.

OpenTelemetry works with Prometheus for tracking error budgets in production by collecting numerical metrics and distributed traces. This combination satisfies SRE-grade reliability requirements and supports actionable alerting rules.

You set up actionable alerting rules and dashboard design for microservice health monitoring using standardized templates that integrate Prometheus metrics. This configuration minimizes downtime and enables automated incident response across production environments.

You should not use structured logging alone for diagnosing complex system failures across distributed systems. Identifying root cause bottlenecks requires combining logs, metrics, and traces within a unified observability framework.