Book Image

Mastering Kubernetes - Second Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Second Edition

By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes.
Table of Contents (16 chapters)

Using Prometheus

Heapster and the default monitoring and logging that come in the box with Kubernetes are a great starting point. However, the Kubernetes community is bursting with innovation and several alternative solutions are available. One of the most popular solutions is Prometheus. In this section, we will explore the new world of operators, the Prometheus Operator, how to install it, and how to use it to monitor your cluster.

What are operators?

Operators are a new class of software that encapsulates the operational knowledge needed to develop, manage, and maintain applications on top of Kubernetes. The term was introduced by CoreOS in late 2016. An operator is an application-specific controller that extends the Kubernetes...