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Monitor your micro-services

with MicroProfile
• How do you monitor this?
• Observability
Octo Blog
What You’ll Learn Today
• Metrics Background
• MicroProfile: Metrics - Fault Tolerance
• Application Metrics - Prometheus - Grafana
Rudy De Busscher
• Payara
• Service team
• JSR-375
• Java EE Security API Expert group member
• Committer in Eclipse EE4J groups
• Java EE Believer
@rdebusscher
https://blog.payara.fish/
https://www.atbash.be

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• Measure of the internal states of a system
• Monitor system(s)
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• Automation
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• Start when there are already issues?
• Base line
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• Mostly based on metrics
• Kill the server?
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Thank You
Not using the Payara Platform yet? Download the open
source software: Payara Server or Payara Micro
https://payara.fish/downloads


Need support for the Payara Platform?
https://payara.fish/support

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Monitor Micro-service with MicroProfile metrics

  • 2. • How do you monitor this? • Observability Octo Blog
  • 3. What You’ll Learn Today • Metrics Background • MicroProfile: Metrics - Fault Tolerance • Application Metrics - Prometheus - Grafana
  • 4. Rudy De Busscher • Payara • Service team • JSR-375 • Java EE Security API Expert group member • Committer in Eclipse EE4J groups • Java EE Believer @rdebusscher https://blog.payara.fish/ https://www.atbash.be
  • 5. Observability • Measure of the internal states of a system • Monitor system(s) • Metrics • Tracing • Health • Data on the behaviour of systems • Proactive • Automation • Application Performance Management (APM)
  • 6. Metrics • Telemetry data • Gather data and collected centrally for monitoring • Just collecting data • No decisions made • Collect upfront • Data need to be available when investigation needed • Start when there are already issues? • Base line
  • 7. Tracing • Understanding your application’s behaviour • Trace single client request • Details of request flowing though different micro-services • Debugging purposes • Finding bottlenecks
  • 8. Health • Mostly based on metrics • Kill the server? • “Treat your servers like cattle not pets”
  • 9. MicroProfile • MicroProfile can make your Java EE application more MicroService-ish • Specifications for • Configuration • TypeSafe Rest Client • Security (JWT Auth) • Metrics • OpenTracing • Fault tolerance • Health • OpenAPI • … (more to come)
  • 10. Test system Payara
 Server Prometheus Grafana Time series DB Graphics
 Dashboards Expose metrics Using Docker containers
  • 11. Setup demo environment • Creating containers • Connecting them together • ‘service’ simulation • Create load through ‘bad’ parallel Prime values calculation.
  • 12. Demo
  • 13. MP Metrics • Expose metrics with Rest endpoint • Built on CDI only • Included in MicroProfile 1.2+ • Automatic instrumentation • No developer code required • Integration with other MicroProfile specs • Like Fault Tolerance • Custom developer metrics
  • 14. MicroProfile Metrics • /metrics endpoint • Prometheus or JSON format • Different categories 1. System based (default) 2. On events indicated by developer 3. On Fault Tolerance events. 4. Custom defined (business related)
  • 15. • Why Not JMX? • Polyglot nature of Micro-services • JMX difficult for non-java systems. MicroProfile metrics
  • 16. Default MP Metrics • Required by specification • System based • CPU • Memory - Garbage Collection • Threads • Class count Freepik 1
  • 17. Prometheus • Open Source • Started by SoundCloud in 2012 • Now Cloud Native Computing Foundation. • Multi-dimensional data model with time series • Query Language • Pull data • Alert Manager
  • 18. Prometheus alternatives • Graphite • Need to push metrics to it • Influx DB • Needs rest of stack (Telegraf - Chronograf - Capacitor)
  • 19. Grafana • Open Source tool for visualization • query, visualize, alert on • For time series
  • 20. • Kibana • Recent improved support for time-series • Works only on top of ElasticSearch Grafana alternatives
  • 21. On events • Invocation Count • @Counted • Execution time information • @Timed • @Metered • More detailed information with Tracing Freepik 2
  • 22. Fault Tolerance • Number of retries • @Retry • @CircuitBreaker • Open, Half-Open, Closed • @BulkHead • Accepted, Rejected • @Callback • # calls Freepik 3
  • 24. Developer defined • Custom defined values • @Gauge • On field or getter • If business value, store them somewhere Freepik 4
  • 25. Kubernetes • Orchestration • Docker-compose • Ideal for smaller ‘installations’ • Open-Source Platform to Manage containers • Not only docker containers • Core tasks • Deployment • Scale • Monitoring
  • 27. Kubernetes Monitoring • Metrics • Metrics for k8s processes/actions • Metrics-server • Monitoring • Restart pods • Keep system ‘healthy'
  • 28. K8s monitoring • Demo • Kill server • Automatic recovering
  • 29. Take aways • Get Metrics from your app/‘server’ • Connect to Prometheus • Show time series with Grafana • Different types of metrics • System • ‘Events’ • From other MP • Kubernetes • Keep app healthy
  • 30. Code • MicroProfile • https://microprofile.io • Demo code • https://github.com/rdebusscher/mp-metrics-demo
  • 31. Q & A
  • 32. Thank You Not using the Payara Platform yet? Download the open source software: Payara Server or Payara Micro https://payara.fish/downloads 
 Need support for the Payara Platform? https://payara.fish/support