Observability Stack

You can implement distributed tracing and metrics collection by deploying Prometheus for metrics, Jaeger and OpenTelemetry for tracing, and Loki for structured logging. This stack provides detailed configurations and Kubernetes deployment examples to trace requests across multiple services and identify bottlenecks.

The best way to visualize system behavior is by configuring Grafana as the central dashboard for your observability stack. Grafana connects to data sources like Prometheus and Loki to provide real-time visualization and proactive alerting on system anomalies.

Yes, you can use OpenTelemetry collectors to instrument applications in Node.js and Rust. The stack provides specific application instrumentation examples for both languages alongside the necessary collector configurations to capture and export traces.

Yes, this observability stack includes Kubernetes deployment examples for its core components. It provides detailed configurations for deploying Prometheus, Grafana data sources, and OpenTelemetry collectors within a Kubernetes environment to monitor distributed systems.

You need structured logging with Loki because metrics show performance bottlenecks, while logs pinpoint the exact errors causing them. Integrating Loki with Prometheus allows you to rapidly investigate incidents by correlating system behavior with detailed application logs.

You need an environment capable of running the provided Kubernetes deployment configurations and scripts. The stack is designed for distributed systems and requires setting up OpenTelemetry collectors, Prometheus, and Jaeger to start capturing traces and metrics.