Regarding the Spikes in the connection pool on our Database in the particular time period.

From: Ramesh Penuballi <ramesh(dot)252(at)gmail(dot)com>
To: pgsql-admin(at)lists(dot)postgresql(dot)org
Subject: Regarding the Spikes in the connection pool on our Database in the particular time period.
Date: 2020-09-08 07:06:21
Message-ID: CAGeQtUvQYvRzF220jc27qrOWoU7L2Fqcn94ZJYU7fOauqM3t4A@mail.gmail.com
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Dear Team,

We are facing an issue of sudden spikes in the connection pool in our Jira
instance which is connected to our database server (RHEL) which is
installed postgresql9.2 version.

Please find the below image which shows the increase in the connection
pool..

[image: image.png]

These spikes are happening in our Jira instance at the particular timing of
every day 10:30 AM IST -11:30 AM IST (i.e. 1AM EST-2AM EST) and it is
causing the slowness of the applications.

To resolve the issue or to restor the connections , we have to restart the
Jira services in the business hours which is impacting our business badly.

We have checked with the Atlassian team of Jira and they have confirmed
that there are no issues at the application end and the database server is
not processing the connections properly.

As per the suggestion from Atlassian support we have increased the CPU on
the database server from 4 CPU to 8 CPU but we are still observing the
spikes and causing the slowness of our Jira instance.

Currently our database server is having 8 CPU,16GB space and it is
connecting to Jira instance.

Below are the CPU of the database server after increasing the CPU on 6th
Sep 2020

[image: image.png]

From the above graph it clearly shows there is no load in the database
after increasing the CPU's on the database server.

It would be great help, if you can help us find the root cause or any
configuration changes which resolves the issue of increasing the
connection pool.

Kindly let us know in case in case of any more information regarding the
same.

Really appreciate the quick help on this as it is impacting our business so
badly.

Thanks and Regards,
Ramesh

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