Book Image

Mastering Kubernetes - Fourth Edition

By : Gigi Sayfan
3.3 (3)
Book Image

Mastering Kubernetes - Fourth Edition

3.3 (3)
By: Gigi Sayfan

Overview of this book

The fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.
Table of Contents (21 chapters)
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Index

Troubleshooting

In this section, we will cover the troubleshooting process in a production cluster and the logical procession of actions to take. The pod lifecycle involves multiple phases and failures can occur at each phase. In addition, pod containers go through their own mini lifecycle where init containers are running to completion and then the main containers start running. Let’s see what can go wrong along the way and how to handle it.

First, let’s look at pending pods.

Handling pending pods

When a new pod was created, Kubernetes used to place it in the Pending state and try to find a node to schedule it on. However, since Kubernetes 1.26, there is an even earlier state where a pod can’t be scheduled.

Let’s create a new 1.26 kind cluster called “trouble" and enable the pod scheduling readiness feature. Here is the configuration file (cluster-config.yaml):

kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
name: trouble...