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Kubernetes for Developers

You're reading from   Kubernetes for Developers Use Kubernetes to develop, test, and deploy your applications with the help of containers

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788834759
Length 374 pages
Edition 1st Edition
Languages
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Author (1):
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Joseph Heck Joseph Heck
Author Profile Icon Joseph Heck
Joseph Heck
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Table of Contents (12) Chapters Close

Preface 1. Setting Up Kubernetes for Development FREE CHAPTER 2. Packaging Your Code to Run in Kubernetes 3. Interacting with Your Code in Kubernetes 4. Declarative Infrastructure 5. Pod and Container Lifecycles 6. Background Processing in Kubernetes 7. Monitoring and Metrics 8. Logging and Tracing 9. Integration Testing 10. Troubleshooting Common Problems and Next Steps 11. Other Books You May Enjoy

A worker queue example with Python and Celery

Where the CronJob is well positioned to run repeated tasks at a specific schedule, another common need is to process a series of work items more or less constantly. A job is well oriented to running a single task until it is complete, but if the volume of things you need to process is large enough, it may be far more effective to maintain a constant process to work on those items.

A common pattern to accommodate this kind of work uses a message queue, as shown here:

With a message queue, you can have an API frontend that creates the work to be run asynchronously, move that into a queue, and then have a number of worker processes pull from the queue to do the relevant work. Amazon has a web-based service supporting exactly this pattern of processing called Simple Queue Service (SQS). A huge benefit of this pattern is decoupling the...

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