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)

Summary

In this chapter, we've covered many topics relating to scaling Kubernetes clusters. We discussed how the horizontal pod autoscaler can automatically manage the number of running pods-based CPU utilization or other metrics, how to perform rolling updates correctly and safely in the context of auto-scaling, and how to handle scarce resources via resource quotas. Then we moved on to overall capacity planning and management of the cluster's physical or virtual resources. Finally, we delved into a real-world example of scaling a single Kubernetes cluster to handle 5,000 nodes.

At this point, you have a good understanding of all the factors that come into play when a Kubernetes cluster is facing dynamic and growing workloads. You have multiple tools to choose from for planning and designing your own scaling strategy.

In the next chapter, we will dive into advanced...