Improve Jobs API concurrency

[tuxdna]

We are currently encountering Gateway Timeouts when the Jobs API calls take very long time to process. This is already a known issue #164

Another issue that I realized is that the number of API workers are at present set to only 1. This causes other clients to wait until a request completes or fails. We can improve the concurrency of API workers to resolve this.

[fridex]

Another issue that I realized is that the number of API workers are at present set to only 1. This causes other clients to wait until a request completes or fails. We can improve the concurrency of API workers to resolve this.

BTW see https://github.com/fabric8-analytics/fabric8-analytics-jobs/blob/master/f8a-jobs.py#L109-L112

[tuxdna]

There are two options:

• first is to increase the number of uwsgi workers here -

  fabric8-analytics-jobs/hack/run_jobs.sh

  Line 7 in 028e37e

  exec uwsgi --http 0.0.0.0:34000 -p 1 -w f8a-jobs --enable-threads

• second is to increase the number of replicas running inside OpenShift for Jobs Service - https://github.com/fabric8-analytics/fabric8-analytics-jobs/blob/master/openshift/template.yaml#L17

As @fridex mentioned above we also have to ensure that there is only one Jobs scheduler running in either case.

Interesting mix of constraints here :-)

[msrb]

This issue was moved to openshiftio/openshift.io#2220