April 2018
Intermediate to advanced
374 pages
8h 35m
English
Content preview from Kubernetes for Developers
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Job
Most of what we have covered so far has been focused on continuous, long-running processes. Kubernetes also has support for shorter, discrete runs of software. A job in Kubernetes is focused on a discrete run that is expected to end within some reasonably-known timeframe, and report a success or failure. Jobs use and build upon the same construct as the long-running software, so they use the pod specification at their heart, and add the concept of tracking the number of successful completions.
The simplest use case is to run a single pod to completion, letting Kubernetes handle any failures due to a node failure or reboot. The two optional settings you can use with jobs are parallelism and completion. Without specifying parallelism, the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.