In this chapter, we designed and planned the development, deployment, and management of the Hue platform – an imaginary omniscient and omnipotent service – built on microservices architecture. We used Kubernetes as the underlying orchestration platform, of course, and delved into many of its concepts and resources. In particular, we focused on deploying pods for long-running services as opposed to jobs for launching short-term or cron jobs, explored internal services versus external services, and also used namespaces to segment a Kubernetes cluster. Then we looked at the management of a large system such as Hue with liveness and readiness probes, init containers, and DaemonSets.

You should now feel comfortable architecting web-scale systems composed of microservices and understand how to deploy and manage them in a Kubernetes cluster.

In Chapter 7, Handling Kubernetes Storage, we will look into the super-important area of storage. Data is king, but often the least flexible element of the system. Kubernetes provides a storage model, and many options for storing and accessing data.