Kontinuous Pipelines on K8s
Prerequisite: If you are unfamiliar with Kubernetes be sure to attend: Kubernetes Koncepts.
Kubernetes is a powerful platform for running containers and distributing computation workloads across resources. A significant question is how do you get all your code to this platform, continuously.
In 2019 our community is bursting with new solutions to assist our delivery pipelines. While Jenkins is a dominant player, there is a growing array of new ideas and choices. From coding at your laptop to building containers to deployments, we will explore the various tools and techniques to reduce the delivery frictions.
Kubernetes is also a fitting platform for hosting your continuous tools, pipeline engines, registries, testing, code analysis, security scans, and delivery workflows.
From this session, you will understand the latest tools and techniques for pipelining on Kubernetes. Let's up the game on your Maturity Model.
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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