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Mastering Kubernetes

Mastering Kubernetes

By : Gigi Sayfan
4 (9)
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Mastering Kubernetes

Mastering Kubernetes

4 (9)
By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you’ll know everything you need to know to go from intermediate to advanced level.
Table of Contents (16 chapters)
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15
Index

Summary


In this chapter, we've covered the important topic of Kubernetes cluster federation. Cluster federation is still in the early stages, but it is already usable. There aren't a lot of deployments and the officially supported target platforms are currently AWS and GCE/GKE, but there is a lot of momentum behind cloud federation. It is a very important piece for building massively scalable systems on Kubernetes. We've discussed the motivation and use cases for Kubernetes cluster federation, the federation control plane components, and the federated Kubernetes objects. We also looked into the less supported aspects of federation such as custom scheduling, federated data access, and auto-scaling. We then looked at how to run multiple Kubernetes clusters, which includes setting up and Kubernetes cluster federation, adding and removing clusters to the federation along with load balancing, federated failover when something goes wrong, service discovery, and migration. Then, we dived into running...

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