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Distributed Tracing - Implementing Latency Analysis for microservices on Cloud Foundry

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Demonstration shows end-to-end latency analysis by deploying Zipkin as an app on Cloud Foundry, binding a MySQL span store and RabbitMQ stream, and instrumenting Java/Spring apps with Spring Cloud Sleuth (demo sets sampling to 100% versus the default 10%). Traces and custom spans (trace.createSpan) reveal a four‑second hotspot and service dependency graph; PCF ships PCF Metrics that ingests the firehose, correlates traces with logs, and stores recent data without managing Zipkin.

AI-written summary · about

  1. 0:00Introduction and speaker intro
  2. 1:46What is distributed tracing
  3. 3:52Latency challenges in microservices
  4. 6:28Zipkin overview and setup
  5. 10:20PCF metrics introduction
  6. 14:32Demo with Zipkin in PCF
  7. 21:00Demo with PCF metrics
  8. 24:27Q&A session
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