Prometheus Monitoring for Java Developers by Fabian Stäber

Prometheus is an open source monitoring tool, which is conceptually based on Google's internal Borgmon monitoring system. Unlike traditional tools like Nagios, Prometheus implements a white-box monitoring approach: Applications actively provide metrics, these metrics are stored in a time-series database, the time-series data is used as a source for generating alerts. Prometheus comes with a powerful query language allowing for statistical evaluation of metrics.
Many modern infrastructure components have Prometheus metrics built-in, like Docker's cAdvisor, Kubernetes, or Konsul. Moreover, there are libraries for instrumenting proprietary applications in a lot of programming languages.
This talk gives an introduction to monitoring with Prometheus, and shows how Java applications can expose metrics for Prometheus monitoring environments. We show how to instrument applications directly in code, as well as how to expose JMX beans in legacy applications.
Dr. Fabian Stäber is software developer, research and development lead, consultant, architect, at ConSol* Consulting & Solutions Software GmbH in Munich, Germany.
Fabian is excited about JEE, clustered back-ends, Big Data applications, and advanced distributed architectures. He is also member of the JSR 373 expert group. His academic research was on decentralized, peer-to-peer-based network architecture.
[EAP-4528]

[@nasoloaina]

This is the best Prometheus talk I have ever watched omg!!! thank you sooo much

[@NamasteJava]

Awasome explaination. Complete Prometheus in 30 minutes ... Hats Off 🎩 ..

[@mateenahmedkhan3780]

man i am your fan!! never seen anybody explain so many things in such a short time. Totally worth time

[@MegaMoses91]

Great Explanation of Prometheus ! Thanks, Dr. Fabian!

[@che5ari]

Excellent presentation and far better than those that use fancy power point slides. Many thanks for this.

[@seregavitiv9914]

Great video, short and very useful! Thanks!

That was a great presentation Fabian, thank you a lot!

[@rameshthangamuthu212]

Awesome and well utilization of the time.

[@ranjitburgute]

Thank you Fabin. Great video 👍

[@eugeneshcherbo9821]

Awesome explanation! Thanks much!!!

[@AdamPaeth]

Great getting started video.

[@yawarshaikh8332]

Fantastic Explanation.

[@traskli-chinalab-7379]

Great video, 精彩的布道

[@bhaaratsharma6023]

This was a really good demo.

[@marekbugiel6893]

Superb explanation.

[@manishakhurana4263]

awesome to start

[@pranitkokne8587]

Nice explanation and I would really like to explore Prometheus.

[@aldofiorentinisolis]

Great !!!

[@kansalmukul1]

Thanks a lot

[@kevinkkirimii]

awesome

[@nicoladellino8124]

Nice video

[@TuemmlerTanne11]

**whuup** !

[@silveiralexf]

on 27:53 , I guess you could use pushgateway to push metrics to Prometheus like when a job fails...

[@nikhil8136]

Hi you talk about spring to prometheus bridge where you dont have to change to source code...do you have any refrence for that....

[@bgstigma]

Google is your friend github.com/fstab/prometheus-for-java-developers :)

[@rajualapati8742]

Can you please help me with how to do it on multiple AWS accounts without VPC peering? I need to get metrics from private IP subnets using any exporter and IAM role ... Please help

[@lsthor]

the url for github github.com/fstab/prometheus-for-java-developers

[@renzmasirag5566]

Hey! Can pay back my money i never order or ask this java prometheus app

[@kansalmukul1]

Thanks a lot