Update parallel-processing-expansion.md
modify the first letter of sentence to be in uppercase
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@@ -170,7 +170,7 @@ The output can be saved to a file, like this:
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cat job.yaml.jinja2 | render_template > jobs.yaml
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cat job.yaml.jinja2 | render_template > jobs.yaml
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```
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```
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or sent directly to kubectl, like this:
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Or sent directly to kubectl, like this:
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```shell
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```shell
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cat job.yaml.jinja2 | render_template | kubectl create -f -
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cat job.yaml.jinja2 | render_template | kubectl create -f -
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@@ -180,7 +180,7 @@ cat job.yaml.jinja2 | render_template | kubectl create -f -
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If you have a large number of job objects, you may find that:
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If you have a large number of job objects, you may find that:
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- even using labels, managing so many Job objects is cumbersome.
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- Even using labels, managing so many Job objects is cumbersome.
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- You exceed resource quota when creating all the Jobs at once,
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- You exceed resource quota when creating all the Jobs at once,
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and do not want to wait to create them incrementally.
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and do not want to wait to create them incrementally.
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- You need a way to easily scale the number of pods running
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- You need a way to easily scale the number of pods running
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@@ -188,7 +188,7 @@ If you have a large number of job objects, you may find that:
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compute resources. Another would be to limit the number of
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compute resources. Another would be to limit the number of
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concurrent requests to a shared resource, such as a database,
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concurrent requests to a shared resource, such as a database,
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used by all the pods in the job.
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used by all the pods in the job.
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- very large numbers of jobs created at once overload the
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- Very large numbers of jobs created at once overload the
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Kubernetes apiserver, controller, or scheduler.
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Kubernetes apiserver, controller, or scheduler.
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In this case, you can consider one of the
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In this case, you can consider one of the
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