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Getting Started with Kubernetes, - Third Edition

You're reading from  Getting Started with Kubernetes, - Third Edition

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788994729
Pages 470 pages
Edition 3rd Edition
Languages
Concepts
Authors (2):
Jonathan Baier Jonathan Baier
Profile icon Jonathan Baier
Jesse White Jesse White
Profile icon Jesse White
View More author details

Table of Contents (23) Chapters

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. Introduction to Kubernetes 2. Building a Foundation with Core Kubernetes Constructs 3. Working with Networking, Load Balancers, and Ingress 4. Implementing Reliable Container-Native Applications 5. Exploring Kubernetes Storage Concepts 6. Application Updates, Gradual Rollouts, and Autoscaling 7. Designing for Continuous Integration and Delivery 8. Monitoring and Logging 9. Operating Systems, Platforms, and Cloud and Local Providers 10. Designing for High Availability and Scalability 11. Kubernetes SIGs, Incubation Projects, and the CNCF 12. Cluster Federation and Multi-Tenancy 13. Cluster Authentication, Authorization, and Container Security 14. Hardening Kubernetes 15. Kubernetes Infrastructure Management 1. Assessments 2. Other Books You May Enjoy Index

Why federation?


There are several major advantages to taking on Kubernetes cluster federation. As mentioned previously, federation allows you increase the availability and tenancy capabilities of your Kubernetes clusters. By scaling across availability zones or regions of a single cloud service provider (CSP), or by scaling across multiple CSPs, federation takes the concept of high availability to the next level. Some term this global scheduling, which will could enable you to direct traffic in order to maximize an inexpensive CSP resource that becomes available in the spot market. You could also use global scheduling to relocate workloads cluster to end use populations, improving the performance of your applications.

There is also the opportunity to treat entire clusters as if they were Kubernetes objects, and deal with failure on a per-cluster basis instead of per machine. Cluster federation could allow operators to automatically recover from entire clusters failing by routing traffic to...

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