jaeger-analysis

To identify latency bottlenecks in distributed tracing data, analyze Jaeger traces to locate slow spans, compute latency statistics, and map service dependencies for root-cause analysis. This reveals where latency accumulates across services.

Correlating errors across services using Jaeger traces involves parsing distributed tracing data to surface traces with errors. This determines the impact of trace errors on user requests and pinpoints the root cause.

Query the Jaeger API to compute latency statistics for a specific service by using the jaeger-client library. Run scripts to list services, fetch latency stats, and inspect individual traces to debug end-to-end performance.

Yes, Jaeger analysis requires the jaeger-client library to map service dependencies. The library queries the Jaeger API, parses spans, and computes latency statistics to reveal how services interact and where latency accumulates.

Yes, you can inspect a specific trace ID to debug end-to-end performance issues. Passing a trace ID to the analysis script parses spans and traces to locate slow segments and understand cross-service dependencies.