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)

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.