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Getting Started with Kubernetes, Second Edition

Getting Started with Kubernetes, Second Edition

By : Jonathan Baier
4.7 (3)
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Getting Started with Kubernetes, Second Edition

Getting Started with Kubernetes, Second Edition

4.7 (3)
By: Jonathan Baier

Overview of this book

Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale. This book will give you a complete understanding of Kubernetes and how to get a cluster up and running. You will develop an understanding of the installation and configuration process. The book will then focus on the core Kubernetes constructs such as pods, services, replica sets, replication controllers, and labels. You will also understand how cluster level networking is done in Kubernetes. The book will also show you how to manage deployments and perform updates with minimal downtime. Additionally, you will learn about operational aspects of Kubernetes such as monitoring and logging. Advanced concepts such as container security and cluster federation will also be covered. Finally, you will learn about the wider Kubernetes ecosystem with OCP, CoreOS, and Tectonic and explore the third-party extensions and tools that can be used with Kubernetes. By the end of the book, you will have a complete understanding of the Kubernetes platform and will start deploying applications on it.
Table of Contents (13 chapters)
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Built-in monitoring


If you recall from Chapter 1, Introduction to Kubernetes, we noted that our nodes were already running a number of monitoring services. We can see these once again by running the get pods command with the kube-system namespace specified as follows:

$ kubectl get pods --namespace=kube-system

The following screenshot is the result of the preceding command:

System pod listing

Again, we see a variety of services, but how does this all fit together? If you recall the Node (formerly minions) section from Chapter 2, Pods, Services, Replication Controllers, and Labels, each node is running a kublet. The kublet is the main interface for nodes to interact and update the API server. One such update is the metrics of the node resources. The actual reporting of the resource usage is performed by a program named cAdvisor.

cAdvisor is another open-source project from Google, which provides various metrics on container resource use. Metrics include CPU, memory, and network statistics. There...

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