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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Logging with Kubernetes

We need to consider carefully our logging strategy with Kubernetes. There are several types of logs that are relevant for monitoring purposes. Our workloads run in containers, of course, and we care about these logs, but we also care about the logs of Kubernetes components like the API server, kubelet, and container runtime.

In addition, chasing logs across multiple nodes and containers is a non-starter. The best practice is to use central logging (a.k.a. log aggregation). There are several options here, which we will explore soon.

Container logs

Kubernetes stores the standard output and standard error of every container. They are available through the kubectl logs command.

Here is a pod manifest that prints the current date and time every 10 seconds:

apiVersion: v1
kind: Pod
  name: now
    - name: now
      image: g1g1/py-kube:0.3
      command: ["/bin/bash", "-c", "while true; do...