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Getting Started with Kubernetes

Getting Started with Kubernetes

By : Jonathan Baier, White
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Getting Started with Kubernetes

Getting Started with Kubernetes

By: Jonathan Baier, White

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. Based on the recent release of Kubernetes 1.12, Getting Started with Kubernetes gives you a complete understanding of how to install a Kubernetes cluster. The book focuses on core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You will understand cluster-level networking in Kubernetes, and learn to set up external access to applications running in the cluster. As you make your way through the book, you'll understand how to manage deployments and perform updates with minimal downtime. In addition to this, you will explore operational aspects of Kubernetes , such as monitoring and logging, later moving on to advanced concepts such as container security and cluster federation. You'll get to grips with integrating your build pipeline and deployments within a Kubernetes cluster, and be able to understand and interact with open source projects. In the concluding chapters, you'll orchestrate updates behind the scenes, avoid downtime on your cluster, and deal with underlying cloud provider instability within your cluster. By the end of this book, you'll have a complete understanding of the Kubernetes platform and will start deploying applications on it.
Table of Contents (18 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, Building a Foundation with Core Kubernetes Constructs, each node is running a kubelet. The kubelet is the main interface for nodes to interact with 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.

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

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