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Mastering Kubernetes

You're reading from   Mastering Kubernetes Large scale container deployment and management

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786461001
Length 426 pages
Edition 1st Edition
Tools
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (16) Chapters Close

Preface 1. Understanding Kubernetes Architecture FREE CHAPTER 2. Creating Kubernetes Clusters 3. Monitoring, Logging, and Troubleshooting 4. High Availability and Reliability 5. Configuring Kubernetes Security, Limits, and Accounts 6. Using Critical Kubernetes Resources 7. Handling Kubernetes Storage 8. Running Stateful Applications with Kubernetes 9. Rolling Updates, Scalability, and Quotas 10. Advanced Kubernetes Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Customizing Kubernetes - API and Plugins 13. Handling the Kubernetes Package Manager 14. The Future of Kubernetes 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...

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