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Getting Started with Kubernetes, Second Edition

You're reading from   Getting Started with Kubernetes, Second Edition Orchestrate and manage large-scale Docker deployments

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787283367
Length 286 pages
Edition 2nd Edition
Tools
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Author (1):
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Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Kubernetes FREE CHAPTER 2. Pods, Services, Replication Controllers, and Labels 3. Networking, Load Balancers, and Ingress 4. Updates, Gradual Rollouts, and Autoscaling 5. Deployments, Jobs, and DaemonSets 6. Storage and Running Stateful Applications 7. Continuous Delivery 8. Monitoring and Logging 9. Cluster Federation 10. Container Security 11. Extending Kubernetes with OCP, CoreOS, and Tectonic 12. Towards Production Ready

Jobs


Deployments and Replication Controllers are a great way to ensure long running applications are always up and able to tolerate a wide array of infrastructure failures. However, there are some use cases this does not address—specifically short running, run once, tasks as well as regularly scheduled tasks. In both cases, we need the tasks to run until completion, but then terminate and start again at the next scheduled interval.

To address this type of workload, Kubernetes has added a Batch API, which includes the Job type. This type will create 1 to n pods and ensure that they all run to completion with a successful exit. Based on restartPolicy, we can either allow pods to simply fail without retry (restartPolicy: Never) or retry when a pods exits without successful completion (restartPolicy: OnFailure). In this example, we will use the latter technique:

apiVersion: batch/v1
kind: Job
metadata:
  name: long-task
spec:
  template:
    metadata:
      name: long-task
    spec:
      containers...
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