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The Distributed Tracing skill provides a structured framework for implementing end-to-end observability across microservices using industry-standard tools like Jaeger, Tempo, and OpenTelemetry. It simplifies the complex process of tracking request journeys through distributed systems by providing ready-to-use deployment configurations for Kubernetes and Docker, alongside multi-language instrumentation patterns for Python, Node.js, and Go. This skill is essential for developers and SREs who need to identify latency bottlenecks, understand service dependencies, and debug error propagation in high-scale cloud-native environments.