If you have set up per-process metrics in Percona Monitoring and Management, you may have found yourself in need of tuning it further to not only group processes together, but to display some of them in isolation. In this blogpost we will explore how to modify the rules for grouping processes, so that you can make the most out of this awesome PMM integration.

Let’s say you have followed the link above on how to set up the per-process metrics integration on PMM, and you have imported the dashboard to show these metrics. You will see something like the following:

This is an internal testing server we use, in which you can see a high number of VBoxHeadless (29) and mysqld (99) processes running. All the metrics in the dashboard will be grouped by the name of the command used. But, what if we …

PMM (Percona Monitoring and Management) is a free and open-source platform for managing and monitoring MySQL, MongoDB, and PostgreSQL performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

While much of the team is working on longer-term projects, we were able to provide the following feature:

• MySQL and PostgreSQL support for all cloud DBaaS providers – Use PMM Server to gather Metrics and Queries from remote instances!
• Query Analytics + Metric Series – See Database activity alongside queries
• Collect local metrics using node_exporter + textfile …

Recently we had a customer that had issues with a filled disk on the server hosting their Docker pmm-server environment. They were not able to access the web UI, or even stop the pmm-server container because they had filled the /var/ mount point.

Setting correct expectations

The best way to avoid these kinds of issues in the first place is to plan ahead, and to know exactly with what you are dealing with in terms of disk space requirements. Michael Coburn has written a great blogpost on this matter:

https://www.percona.com/blog/2017/05/04/how-much-disk-space-should-i-allocate-for-percona-monitoring-and-management/

We are now using …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

This release offers two new features for both the MySQL Community and Percona Customers:

• MySQL Custom Queries – Turn a SELECT into a dashboard!
• Server and Client logs – Collect troubleshooting logs for Percona Support

We addressed 17 new features and improvements, and fixed 17 bugs.

MySQL Custom Queries

In 1.15 we are introducing the ability to …

Starting with PMM 1.13,  PMM uses Prometheus 2 for metrics storage, which tends to be heaviest resource consumer of CPU and RAM.  With Prometheus 2 Performance Improvements, PMM can scale to more than 1000 monitored nodes per instance in default configuration. In this blog post we will look into PMM scaling and capacity planning—how to estimate the resources required, and what drives resource consumption.

We have now tested PMM with up to 1000 nodes, using a virtualized system with 128GB of memory, 24 virtual cores, and SSD storage. We found PMM scales pretty linearly with the available memory and CPU cores, and we believe that a higher number of nodes could be …

Prometheus 2 time series database (TSDB) is an amazing piece of engineering, offering a dramatic improvement compared to “v2” storage in Prometheus 1 in terms of ingest performance, query performance and resource use efficiency. As we’ve been adopting Prometheus 2 in Percona Monitoring and Management (PMM), I had a chance to look into the performance of Prometheus 2 TSDB. This blog post details my observations.

Understanding the typical Prometheus workload

For someone who has spent their career working with general purpose databases, the typical workload of Prometheus is quite interesting. The ingest rate tends to remain very …

Percona has revealed the line-up of in-depth tutorials for the Percona Live Europe 2018 Open Source Database Conference, taking place November 5–7, 2018 at the Radisson Blu Hotel in Frankfurt, Germany. Secure your spot now with Advanced Registration prices. Be sure to buy your tickets soon as tickets prices will only head up, not down! Sponsorship opportunities for the conference are still available.

Percona Live Europe 2018 Open Source Database Conference is the premier open source database event. Our theme this year is “Connect. Accelerate. Innovate.”  Percona Live is the …

A few months ago I wrote a blog post on How to Capture Per Process Metrics in PMM. Since that time, Nick Cabatoff has made a lot of improvements to Process Exporter and I’ve improved the Grafana Dashboard to match.

I will not go through installation instructions, they are well covered in original blog post.  This post covers features available in release 0.4.0 Here are a few new features you might find of …

In my previous blog post, I showed how to deploy Percona Monitoring and Management (PMM) on Linode manually. It is pretty simple, but with a little coding it can be done even more easily using StackScripts

Here’s how:

1. Click on the “Add a Linode” and pick a Linode type you want to deploy.

2. Click on the deployed Linode and then click on the “Rebuild” Link

3. Click on Deploy Using StackScripts

4. On the resulting page search for “PMM” and pick PMMServer from PerconaLab.

5. Provide the host name for new Linode, pick the root password and click on “Rebuild”

6. Boot the server.

7.  You’re done. Wait for about 5 minutes for the installation to complete, then you can see PMM interface by going to this Linode …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

We’re releasing hotfix 1.14.1 to address two issues found post-release of 1.14.0:

• PMM-2963: Upgrading to PMM 1.14.0 fails due to attempting to create already existing Dashboard
  • Our upgrade script incorrectly tried to create dashboards that already existed, and generating failure message:

            A folder or dashboard in the general folder with the …