Live Kubernetes Debugging with the Elastic Stack

Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do?

This talk walks you through a live debugging session without panicking:
* What do your health checks say?
* Where does your monitoring point you?
* Can you get more details from your application’s traces?
* Is there anything helpful in the logs?
* What the heck is even deployed?

We are using the open source Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM/tracing, metrics, logs, and health checks.

Transcript

1. Live Kubernetes Debugging with the Philipp Krenn̴̴̴̴̴@xeraa
2. Kubernetes is the answer. What was the ques1on? — h$ps://twi$er.com/charlesfitz/status/1068203930683752448
3. Developer
5. Infrastructure UI Logs and Metrics
6. Where is the data coming from?
7. Metricbeat System, Docker, Kubernetes
8. How can it access the disk and the Docker daemon?
9. Metricbeats Hints, MySQL
10. Filebeat Autodiscover with annotations
11. Logs UI kubernetes.namespace : "default"
12. Packetbeat Overview, HTTP, MySQL
13. Packetbeat Discover type: mysql and status: Error
14. PS: - drop_event: when: or: - contains.path: "/health" - equals.path: "/metrics"
15. APM
16. Conclusion
17. From ! to With Kubernetes
18. PS: Tomorrow Elas.c Docker images
19. Ques%ons & Discussion Philipp Krenn̴̴̴̴̴@xeraa