Distributed tracing can enhance monitoring for Kafka clusters, which decouples producers and consumers, complicating direct traceability and understanding between microservices. Utilizing OpenTelemetry allows effective tracing and visualization through tools like Jaeger and New Relic. OpenTelemetry offers two instrumentation approaches: zero-code instrumentation, which provides simplicity but limited customization, and manual instrumentation, which demands code changes but offers more flexibility and the ability to tailor telemetry according to specific needs.
Distributed tracing is essential for tracing requests through systems, but Kafka's design decouples producers and consumers, complicating direct transaction tracing.
Kafka's asynchronous processes make it challenging to understand the working relationship between microservices due to implicit dependencies.
Monitoring Kafka clusters effectively with OpenTelemetry allows analysis and visualization of traces using tools like Jaeger or New Relic.
OpenTelemetry offers two main approaches: zero-code instrumentation for quick setup with limited customization, and manual instrumentation for greater flexibility and specificity.
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