Monitor Your Java Applications with the Elastic Stack: Logs, Metrics, Pings, and Traces
A presentation at Voxxed Days Singapore in in Singapore by David Pilato
Monitor your microservices with Logs, Metrics, Pings et Traces David Pilato @dadoonet
Developer | Evangelist !
Disclaimer I’m building “Hello World” apps. But monitored apps.
https://github.com/xeraa/microservice-monitoring
Application
Showtime
Bonus
Alerts * From Gold license and available in Elastic Cloud
** Machine Learning Anomaly detection on Time Series data ** Included within Platinum license and available in Elastic Cloud
Conclusion
System and Network metrics Filebeat and Auditbeat modules Application logs
Uptime (Heartbeat) Application metrics Request tracing (APM)
Questions? ^^^ Feedback ^^^ David Pilato @dadoonet
“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 distributed applications. We dive into:
- System metrics: Keep track of network traffic and system load.
- Application logs: Collect structured logs in a central location.
- Uptime monitoring: Ping services and actively monitor their availability and response time.
- Application metrics: Get the information from the application’s metrics and health endpoints via REST or JMX.
- Request tracing: Trace requests through a distributed system and show how long each call takes and where errors are happening.
And we will do all of that live, since it is so easy and much more interactive that way.
Video
Code
The following code examples from the presentation can be tried out live.
