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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

Persistent storage


So far, we only worked with workloads that we could start and stop at will, with no issue. However, real-world applications often carry state and record data that we prefer (even insist) not to lose. The transient nature of containers themselves can be a big challenge. If you recall our discussion of layered filesystems in Chapter 1, Introduction to Kubernetes, the top layer is writable. (It's also frosting, which is delicious.) However, when the container dies, the data goes with it. The same is true for crashed containers that Kubernetes restarts.

This is where volumes or disks come into play. Volumes exist outside the container and are coupled to the pod, which allows us to save our important data across containers outages. Further more, if we have a volume at the pod level, data can be shared between containers in the same application stack and within the same pod. A volume itself on Kubernetes is a directory, which the Pod provides to the containers running on it....

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