360° Monitoring of Your Microservices

"With microservices every outage is like a murder mystery" is a common complaint. But it doesn't have to be! This talk gives an overview on how to monitor Spring Boot applications, since they are increasingly popular for building microservices. We dive into:
* System metrics: Keep track of network traffic and system load.
* Application logs: Collect and parse your logs.
* Uptime monitoring: Use Heartbeat to ping services and actively monitor their availability.
* Application metrics: Get the information from Spring Boot's metric and health endpoints via REST and JMX.
* Request tracing: Use Elastic APM to trace requests through a distributed system and Kibana to show how long each call takes.

And we will do all of that live, since it is so easy and much more interactive that way.

Transcript

1. Monitor Your Apps with the
   Philipp Krenn̴̴̴̴̴@xeraa
   

   View Slide

2. View Slide

3. View Slide

4. View Slide

5. View Slide

6. View Slide

7. View Slide

8. View Slide

9. View Slide

10. View Slide

11. Ceci n'est pas David
    Pilato.
    

    View Slide

12. View Slide

13. Developer
    

    View Slide

14. Disclaimer
    I build highly monitored Hello World
    apps
    

    View Slide

15. View Slide

16. !
    

    View Slide

17. xeraa.wtf
    Your requests
    

    View Slide

18. Uptime
    Heartbeat: ICMP, TCP, HTTP(S)
    

    View Slide

19. Logs
    Filebeat: structured, enriched
    

    View Slide

20. Network
    Packetbeat: TCP/IP, HTTP, MySQL, TLS
    

    View Slide

21. Metrics
    Metricbeat: host, apps (heap usage)
    

    View Slide

22. Security
    Auditbeat: users, systems, executions
    

    View Slide

23. APM / Tracing
    Java, Node.js, Python, Ruby, Go, .NET
    

    View Slide

24. APM Real User Monitoring (RUM)
    import { init as initApm } from '@elastic/apm-rum'
    const apm = initApm({
    serviceName: 'my-app',
    serverUrl: 'http://apm-server.com:8200',
    serviceVersion: '1.0'
    })
    
    

    View Slide

25. More
    

    View Slide

26. Alertinga
    a Gold License and part of the Elastic Cloud
    

    View Slide

27. View Slide

28. Machine Learningb
    Anomaly Detection of Time Series Data
    b Platinum License and part of the Elastic Cloud
    

    View Slide

29. View Slide

30. Conclusion
    

    View Slide

31. View Slide

32. From
    !
    to
    

    View Slide

33. Code
    https://github.com/xeraa/
    microservice-monitoring
    

    View Slide

34. Questions?
    Philipp Krenn̴̴̴̴̴@xeraa
    PS: Sticker
    

    View Slide