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Getting Started with Kubernetes

You're reading from   Getting Started with Kubernetes Extend your containerization strategy by orchestrating and managing large-scale container deployments

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788994729
Length 470 pages
Edition 3rd Edition
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Authors (2):
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Jesse White Jesse White
Author Profile Icon Jesse White
Jesse White
Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Table of Contents (18) Chapters Close

Preface 1. Introduction to Kubernetes FREE CHAPTER 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 16. Assessments 17. Other Books You May Enjoy

Smooth updates


The scaling of our application up and down as our resource demands change is useful for many production scenarios, but what about simple application updates? Any production system will have code updates, patches, and feature additions. These could be occurring monthly, weekly, or even daily. Making sure that we have a reliable way to push out these changes without interruption to our users is a paramount consideration.

Once again, we benefit from the years of experience the Kubernetes system is built on. There is built-in support for rolling updates with the 1.0 version. The rolling-update command allows us to update entire ReplicationControllers or just the underlying Docker image used by each replica. We can also specify an update interval, which will allow us to update one pod at a time and wait until proceeding to the next.

Let's take our scaling example and perform a rolling update to the 0.2 version of our container image. We will use an update interval of 2 minutes, so...

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