observability-specialist

Observability for microservices is achieved by collecting structured logs, metrics, and distributed traces to monitor system health. This approach provides end-to-end visibility of request flows, enabling you to detect latency spikes and quickly identify failure modes across distributed environments.

The golden signals for metrics collection are latency, traffic, errors, and saturation. Gathering these metrics allows you to visualize system performance in dashboards and configure alerting to detect latency spikes and maintain reliability across your infrastructure.

OpenTelemetry facilitates distributed tracing by propagating trace context across services, providing end-to-end visibility of request flows. It satisfies tracing requirements in distributed environments, allowing you to track requests as they move through multiple microservices.

Structured logging is needed because it enforces JSON logs with essential fields to enable traceability and debugging. By standardizing log formats, you can easily correlate log entries with metrics and traces to effectively diagnose issues across distributed systems.

You can alert on latency spikes by collecting latency and traffic metrics, then configuring alerting rules based on threshold changes. This allows you to detect performance issues early and maintain system reliability across your distributed production environments.