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content/en/docs/tasks/job/fine-parallel-processing-work-queue.md

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 title: Fine Parallel Processing Using a Work Queue
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+content_type: task
 min-kubernetes-server-version: v1.8
 weight: 40
 ---
 
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 In this example, we will run a Kubernetes Job with multiple parallel
 worker processes in a given pod.
@@ -25,23 +25,24 @@ Here is an overview of the steps in this example:
 1. **Start a Job that works on tasks from the queue**.  The Job starts several pods.  Each pod takes
   one task from the message queue, processes it, and repeats until the end of the queue is reached.
 
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 {{< include "task-tutorial-prereqs.md" >}}
 
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 Be familiar with the basic,
 non-parallel, use of [Job](/docs/concepts/jobs/run-to-completion-finite-workloads/).
 
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 ## Starting Redis
 
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 As you can see, one of our pods worked on several work units.
 
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 ## Alternatives
 
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 and consider running a background processing library such as
 [https://github.com/resque/resque](https://github.com/resque/resque).
 
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