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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

Running federated workloads


Federated workloads are workloads that are processed on multiple Kubernetes clusters at the same time. This is relatively easy to do for loosely-coupled and embarrassingly-distributed applications. However, if most of the processing can be done in parallel, often there is a join point at the end, or at least a central persistent store that needs to be queried and updated. It gets more complicated if multiple pods of the same service need to cooperate across clusters, or if a collection of services (each one of them may be federated) must work together and be synchronized to accomplish something.

Kubernetes federation supports federated services that provide a great foundation for such federated workloads.

Some key points for federated services are service discovery, cross cluster load-balancing, and availability zone fault tolerance.

Creating a federated service

A federated service creates a corresponding service in the federation's member clusters.

For example, to...

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