Kubernetes Khaos
Chaos Engineering is experimenting on a production system to build confidence in the system’s capability to withstand turbulent conditions. Chaos experimentation is an important type of testing, and if your team's maturity model is high enough it's something to should consider in your production clusters.
We will investigate different types of chaos techniques using Kubernetes. Some hands-on examples will explore some custom coding techniques. We will discount some inadequate open source projects. Lastly, we will look at some two mature chaos projects that have helped some organizations solidify their application stability.
We'll have a blast, within a limited radius.
About Jonathan Johnson
Jonathan Johnson is an independent software architect with a concentration on helping others unpack the riches in the cloud native and Kubernetes ecosystems.
For 30 years Jonathan has been designing useful software to move businesses forward. His career began creating laboratory instrument software and throughout the years, his focus has been moving with industry advances benefitting from Moore’s Law. He was enticed by the advent of object-oriented design and applied it to financial software. As banking moved to the internet, enterprise applications took off and Java exploded onto the scene. Since then, he has inhabited that ecosystem. After a few years, he returned to laboratory software and leveraged Java-based state machines and enterprise services to manage the terabytes of data flowing out of DNA sequencing instruments. As a hands-on architect, he applied the advantages of microservices, containers, and Kubernetes with a laboratory management platform.
Today he enjoys sharing his experience with peers. He provides perspective on ways to modernize application architectures while adhering to the fundamentals of modularity - high cohesion and low coupling.microservices, containers, and Kubernetes to their laboratory management platform.
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