Guess what? It's meetup time! 🎉 Join us on November 21st for an amazing evening, all about Application Performance Monitoring and investigating performance degradation. 😍 As always, 🍺 and 🍕 are on us!
- 18:00: Doors open 🚪
- 19:00: Talk by Phil (Picnic): Monitoring with Micrometer: Black box to white box applications
- 19:45: Talk by Martin Fogelman (WAES): Performance investigation in a microservices environment
- 20:30: Networking 🙋🏼♂️🙋🏼♀️
🔸 Phil (Picnic)
Phil is a tech lead and backend developer at Picnic. He is an evangelist for reactive programming and has a keen interest in application monitoring and observability. In his day to day life, he is concerned about bringing the two together and implementing performant and observable reactive backend systems in order to help improve the experience for Picnic customers. Oh, and he likes talking about it.
Have you ever stared at an all green Application Performance Monitoring dashboard and wondered, what is my application actually doing? For everything that APM metrics can’t tell you there are custom events; metrics which you can emit to track business rules and application functionality, in order to take your application monitoring to the next level.
In this talk Phil will guide you through turning your black box into white box application, employing Micrometer as the bridge between custom metrics and the ocean of monitoring vendors out there. Whether it is New Relic, Datadog, SignalFX, Prometheus, or many others, Micrometer has you covered.
🔸 Martin Fogelman (WAES)
Martin Fogelman is a Software Engineer who graduated from the Universidad de Buenos Aires in Argentina. In his nearly 18 years of IT career he has taken roles as Java Developer, Technical Leader, Solutions Architect, Mobile Architect, Enterprise Architect, Big Data Developer, Big Data Architect & Platform Engineer, and recently relocated to The Netherlands to join WAES as a Big Data Engineer.
In his free time he enjoys traveling, sports, playing guitar, and spending quality time with his wife and friends.
Performance investigation in a microservices environment
One of our clients was suffering performance degradation over time in a job's execution, doubling the execution time on operational tasks in a just few days. This talk is to explain the given architecture and do an interactive session sharing hypothesis, tests, results, new hypothesis, etc, trying to hit the root cause(s) of the issue in such a complex scenario. Where would you start investigating?
Architecture includes DC/OS, Docker, Java, Spring boot, HBase, Phoenix, haproxy, layer 4 and 7 load balancers, Splunk and others. (❗ Expect lots of interactions 😉).