When you hear words such as Kubernetes or OpenShift you immediately start thinking about long running processes you can easily scale at will. However, Kubernetes includes a lesser known feature which allows you to run pretty much anything from simple tasks up to highly-complicated ones. During this presentation, the author of the Job resource in Kubernetes will guide you through several techniques for performing anything ranging from simple Pi calculations to rendering a movie. No matter if you're a data scientist running large scale calculations across several data centers or a hobby programmer running simple day-to-day tasks, this presentation is to teach you how to efficiently use Kubernetes Jobs on their own or as the building blocks of something bigger. This presentation will feature a number of live demos to help illustrate the various ways that you can put Jobs to work. Don’t miss out on learning about one of the coolest features of Kubernetes! Sched Link: http://sched.co/6BUw

1. Getting the Jobs Done With
Kubernetes / OpenShift
Maciej Szulik, KubeCon 2016
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2. soltysh @    
maszulik@redhat.com
https://github.com/soltysh/talks/
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3. 3 / 20

4. Job
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5. Job apiVersion: batch/v1
kind: Job
metadata:
name: hello
spec:
template:
metadata:
name: hello
spec:
containers:
- name: hello
image: python:3.5.1
command: ["python", "-c",
"print('Hello world!')"]
restartPolicy: Never
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6. Job
- api
->apiVersion:batch/v1
kind: Job
metadata:
name: job
spec:
template:
metadata:
name: job
spec:
containers:
- name: job
image: python:3.5.1
command: ["python", "-c",
"print('Hello world!')"]
restartPolicy: Never
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7. Job
- api
- command
apiVersion: batch/v1
kind: Job
metadata:
name: job
spec:
template:
metadata:
name: job
spec:
containers:
-> -name:job
image:python:3.5.1
command:["python","-c",
"print('Helloworld!')"]
restartPolicy: Never
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8. Job
- api
- command
- restart policy
apiVersion: batch/v1
kind: Job
metadata:
name: job
spec:
template:
metadata:
name: job
spec:
containers:
- name: job
image: python:3.5.1
command: ["python", "-c",
"print('Hello world!')"]
-> restartPolicy:Never
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9. Job
- api
- command
- restart policy
Always
OnFailure
Never
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10. Job
- api
- command
- restart policy
Always
OnFailure
Never
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11. Job
- api
- command
- restart policy
- pod selector?
apiVersion: batch/v1
kind: Job
metadata:
name: job
spec:
template:
metadata:
name: job
spec:
containers:
- name: job
image: python:3.5.1
command: ["python", "-c",
"print('Hello world!')"]
restartPolicy: Never
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12. Job
- api
- command
- restart policy
- pod selector?
- parallelism /
completions
single jobs
.spec.completions: 1
.spec.parallelism: 1
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13. Job
- api
- command
- restart policy
- pod selector?
- parallelism /
completions
single jobs
.spec.completions: 1
.spec.parallelism: 1
parallel job with a fixed completions count
.spec.completions: 8
.spec.parallelism: 4
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14. Job
- api
- command
- restart policy
- pod selector?
- parallelism /
completions
single jobs
.spec.completions: 1
.spec.parallelism: 1
parallel job with a fixed completions count
.spec.completions: 8
.spec.parallelism: 4
parallel job with a work queue
.spec.completions: <unset>
.spec.parallelism: 4
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15. Use Cases
- data calculations
- image rendering
etc.
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16. Rendering
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17. Render demo
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18. Future
workflow by @sdminonne
indexed jobs by @erictune
scheduled jobs by @soltysh
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19. http://commons.openshift.org/join
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20. Links
soltysh @    
maszulik@redhat.com
http://releases.k8s.io/master/docs/proposals/job.md
http://releases.k8s.io/master/docs/user-guide/jobs.md
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