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Understanding Kubernetes: Fundamentals

Intro, concepts, and getting hands-on

Jonathan Johnson

Jonathan Johnson

Software Architect

So you have some code and it is in a bounded context with a REST API. You are on your way to Microservices. Next you wrap it in a container and now it is an image that others can run. Simple. Now what? No service is an island. Your service needs to log information, needs to scale and load balance between its clones. Your service needs environment and metadata way outside its context. What about where the service will run? Who starts it? What monitors its health? What about antifragility? Updates? Networking? Oh my.

Services live in clusters and clusters live in data centers. Many concepts overlap with the features of cloud management. But don't get too flustered since, fundamentally, services are managed by clusters. There are several approaches to cluster management such as Docker Swarm, Mesos with Marathon and Kubernetes.

Minikube with Kubernetes is an approachable technique to set up a local cluster that is easy to understand and get started. Whether you have a simple service or a Web application with a set of services, you can develop much of it on Kubernetes with Minikube. We will run some practical examples. Once you understand the mechanics of the tools, we will explore how it works, sort through the terminology and share ideas about practical uses for this technology.

Afterward, you will understand how to run your personal cluster with your Linux, OS X or Windows laptop to further enjoy unraveling the mysteries of running applications in a cluster.

About Jonathan Johnson

Software Architect

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.