Book Image

Getting Started with Kubernetes - Third Edition

By : Jonathan Baier, Jesse White
Book Image

Getting Started with Kubernetes - Third Edition

By: Jonathan Baier, Jesse 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 (23 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Monitoring operations


Real-world monitoring goes far beyond checking whether a system is up and running. Although health checks like those you learned in Chapter 2, Building a Foundation with Core Kubernetes Constructs, in the Health checks section can help us isolate problem applications, operations teams can best serve the business when they can anticipate the issues and mitigate them before a system goes offline.

The best practices in monitoring are to measure the performance and usage of core resources and watch for trends that stray from the normal baseline. Containers are not different here, and a key component to managing our Kubernetes cluster is having a clear view of the performance and availability of the OS, network, system (CPU and memory), and storage resources across all nodes.

In this chapter, we will examine several options to monitor and measure the performance and availability of all our cluster resources. In addition, we will look at a few options for alerting and notifications...