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Monitoring a JHipster microservice architecture in practice

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Concrete, runnable monitoring for a JHipster microservice stack: a JHipster Console that wires logs, metrics and traces into ELK + Zipkin with Spring Cloud Sleuth for tracing, Logstash/Logback for logs, and Elasticsearch as storage. Demo uses a gateway plus two services (CRM on Postgres, accountancy on Mongo/Maria) booted via Docker Compose and Kubernetes manifests, synthetic Gatling load exercises show request traces (one took ~10s) and dashboards work; code is open source and metrics move from Dropwizard → Micrometer.

AI-written summary · about

  1. 0:00Introduction
  2. 1:43Monitoring microservices
  3. 7:14Demo
  4. 8:47Application overview
  5. 11:35Frontend tests
  6. 11:45Logs
  7. 12:35Filtering
  8. 13:35Metrics
  9. 17:05Graphs
  10. 19:05Request dashboard
  11. 20:05Tracing data
  12. 21:00Zipkin UI
  13. 22:55Request errors
  14. 24:05Summary
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