observability-monitoring

Structured logging with JSON output and metrics collection form the foundation of observability. Configure your application to emit JSON-formatted logs with contextual data, integrate Prometheus-compatible metrics to track rate, errors, and duration (RED metrics), and connect these to dashboards for real-time visibility into system behavior and performance.

Observability combines four complementary signals: structured logs capture discrete events with context, metrics measure system performance over time (requests per second, error rates, latency), distributed tracing tracks requests across multiple services to identify bottlenecks, and alerting rules trigger notifications when thresholds are breached, enabling proactive incident response.

OpenTelemetry provides standardized instrumentation to trace requests across distributed services. Configure OpenTelemetry SDKs in your backend services to capture request flow, export trace data to a collector, and visualize traces to correlate events across service boundaries—essential for diagnosing latency and failures in production incidents.

Yes. Prometheus-compatible metrics are widely supported across backend frameworks and platforms. Expose metrics endpoints from your services, configure Prometheus scraping, and build dashboards to monitor RED metrics (rate, errors, duration). This integrates with your existing logging and tracing infrastructure for unified observability.

Correlate structured logs, metrics, and traces to trace a request through your system. Use logs to identify error context, metrics to spot performance degradation, and distributed traces to follow the request path across services. Health checks and alerting rules surface issues early; together these signals pinpoint root causes quickly.

Define alerting rules based on RED metrics: alert on error rate spikes, request latency thresholds, and throughput drops. Include health check failures and resource saturation (CPU, memory). Layer alerts by severity and route notifications to appropriate teams so incidents are addressed before user impact occurs.