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Trace Quality Metrics #367
When deploying a distributed tracing solution like Jaeger in large organizations, especially those whose architectures are composed of many different technologies, there are always questions about how much of the architecture is actually integrated with tracing, what is the quality of the instrumentation, are there microservices that are using stale versions of instrumentation libraries, etc.
Trace Quality engine runs analysis on all traces collected in the backend, inspects then for known completeness and quality problems, and provides summary reports to service owners with suggestions on improving the quality metrics and links to sample traces that exhibit the issues.