/ Talk
A hitchhikers guide to observe (Java) applications in Kubernetes
Conference (INTERMEDIATE level)
Paris 241
Related
Understanding Kubernetes can be hard. Not only in the initial learning and understanding of the concepts, but also the aspect of keeping an overview of what is happening inside at the workloads of the cluster can be challenging. How can you quickly and easily tell if your apps are healthy, well utilised and running fine?
This talk intends to look at the various aspects of Kubernetes observability and to introduce and compares multiple Open Source tools to achieve that. The range of tools covers different observability levels and requirements of different user groups.
It starts with tools simply querying the Kubernetes API and delivering the outputs in an easy-to-understand UI, goes over the possibilities of services meshes and ends with application-side logging and monitoring. For each level of observability the user has to pay a certain price in terms of configuration and runtime overhead. In turn the quality and depth of the information is different.
The intended take-away is to get a feeling which type of tooling is the right one for a given purpose. Most options will be shown in a live demonstration. Some of the technologies have a polyglot aspect and can be applied independent of the framework. This talk has a dominant focus on JVM-based applications.
This talk intends to look at the various aspects of Kubernetes observability and to introduce and compares multiple Open Source tools to achieve that. The range of tools covers different observability levels and requirements of different user groups.
It starts with tools simply querying the Kubernetes API and delivering the outputs in an easy-to-understand UI, goes over the possibilities of services meshes and ends with application-side logging and monitoring. For each level of observability the user has to pay a certain price in terms of configuration and runtime overhead. In turn the quality and depth of the information is different.
The intended take-away is to get a feeling which type of tooling is the right one for a given purpose. Most options will be shown in a live demonstration. Some of the technologies have a polyglot aspect and can be applied independent of the framework. This talk has a dominant focus on JVM-based applications.
Matthias Haeussler
Novatec Consulting GmbH
Matthias Haeussler is Chief Technologist at Novatec Consulting, university lecturer for distributed systems, awarded ambassador of Cloud Foundry and the organizer of the Stuttgart Cloud Foundry Meetup. He advises clients on Cloud strategies and supports implementations and migrations. Prior to that he was employed at IBM R&D Germany for more than 15 years. He has teaching experience from lectures at multiple universities in Stuttgart (DHBW, HSE, HfT). Besides that he is frequent speaker at various national and international conferences and meetups.
Tiffany Jernigan
Tiffany is a seasoned technologist and content creator in the Cloud Native space. She most recently was a senior developer advocate at VMware. She also formerly worked as a software developer and developer advocate at Amazon, Docker, and Intel. Prior to that, she graduated from Georgia Tech with a degree in electrical engineering. In her free time, she likes to travel and dabble in photography. You can find her on Twitter @tiffanyfayj.