Observability Stack

Set up distributed tracing for microservices by integrating OpenTelemetry for instrumentation and Jaeger to trace requests across services, enabling root cause analysis of performance bottlenecks. It supports Rust and Node.js applications.

Collect metrics and visualize them by implementing Prometheus for gathering time-series data and Grafana for creating insightful dashboards and alerts. This provides a comprehensive framework for monitoring distributed system states.

Yes, the observability stack explicitly supports Rust and Node.js applications. It uses opentelemetry, tracing, and tokio dependencies for Rust, alongside @opentelemetry/sdk-node and auto-instrumentations-node for Node.js environments.

Correlate structured logs with traces and metrics by integrating Loki for efficient log aggregation and querying. This allows you to examine logs alongside traces to identify issues when debugging slow API requests spanning multiple microservices.

Yes, you can deploy this monitoring stack using Kubernetes. The implementation provides Kubernetes deployment configurations to set up Prometheus, Grafana, Jaeger, and OpenTelemetry for your distributed systems environment.

You need OpenTelemetry to debug slow API requests by tracing the exact path across microservices, identifying the slowest service, and examining its correlated logs and metrics to find the underlying performance bottleneck.