monitoring-observability

Set up OpenTelemetry auto-instrumentation by configuring the SDK in your backend service to automatically capture HTTP, database, and messaging traces, then export them to your observability backend for real-time monitoring.

The best way to monitor distributed systems is by applying Prometheus metrics collection alongside Grafana-compatible dashboards to detect latency, error rates, and throughput across your microservices architecture.

Structured logging with trace correlation works by attaching trace IDs to log entries across microservices, enabling redaction of sensitive data while allowing you to rapidly identify bottlenecks and failures across services.

Yes, this setup supports Prometheus-compatible metrics for collection and Grafana-compatible dashboards for visualization, satisfying both instrumentation and visualization requirements for microservices architectures.

Yes, you need OpenTelemetry SDKs to enable tracing and metrics collection, as they provide the auto-instrumentation required to capture telemetry data across backend services, APIs, and distributed systems.

Configure alerting rules and dashboards to detect latency spikes, error rates, and throughput drops in your distributed systems, allowing you to diagnose performance issues and rapidly identify failures across services.