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The Distributed Tracing skill provides a comprehensive framework for implementing observability in complex microservices architectures. By leveraging industry-standard tools like OpenTelemetry, Jaeger, and Grafana Tempo, it enables developers to visualize the entire lifecycle of a request as it traverses multiple services and databases. This skill helps in identifying high-latency spans, understanding service dependencies, and debugging error propagation in real-time. Whether you are setting up a new observability stack on Kubernetes or instrumenting legacy Python, Go, or Node.js applications, this skill provides the patterns, configurations, and best practices needed to gain deep insights into system performance.
