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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
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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

Employing init containers for orderly pod bring-up


Liveness and readiness probes are great. They recognize that, at startup, there may be a period where the container is not ready yet, but shouldn't be considered failed. To accommodate that there is the initialDelayInSeconds setting where containers will not be considered failed. But, what if this initial delay is potentially very long? Maybe, in most cases, a container is ready after a couple of seconds and ready to process requests, but because the initial delay is set to five minutes just in case, we waste a lot of time where the container is idle. If the container is part of a high-traffic service, then many instances can all sit idle for five minutes after each upgrade and pretty much make the service unavailable.

Init containers address this problem. A pod may have a set of init containers that run to completion before other containers are started. An init container can take care of all the non-deterministic initialization and let application...

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