The RED Method (Rate, Errors, Duration) is one of the more popular performance monitoring approaches.  It is often applied to Monitoring Microservices though there is nothing that prevents it from being applied to databases like MySQL.

In Percona Monitoring and Management (PMM) v2 we have all the required information stored in the ClickHouse database, and with the built-in ClickHouse datasource it is a matter of creating a dashboard to visualize the data.

While I was editing the dashboard, I added a few other panels, beyond what RED Method requires, in order to show some of the cool things you can do with Grafana + ClickHouse data source and …

Debezium has packed with monitoring metrics as well. We just need to consume and expose it to the Prometheus. A lot of use of useful metrics are available in Debezium. But unfortunately, we didn’t find any Grafana dashboards to visualizing the Debezium metrics. So we built a dashboard and share it with the Debezium community. Still, a few things need to improve, but almost all the metrics are covered in one single dashboard.

Debezium MySQL monitoring metrics:

Debezium MySQL connector has three types of metrics.

1. Schema History — Track the schema level changes.
2. Snapshot — Track the progress about the snapshot.
3. Binlog — Real-time reading binlog events.

Setup Monitoring for MySQL connector:

We need to install JMX exporter for monitoring the debezium MySQL connector. We have already blogged about this with detailed steps.

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Debezium is providing out of the box CDC solution from various databases. In my last blog post, I have published how to configure the Debezium MySQL connector. This is the next part of that post. Once we deployed the debezium, to we need some kind of monitoring to keep track of whats happening in the debezium connector. Luckily Debezium has its own metrics that are already integrated with the connectors. We just need to capture them using the JMX exporter agent. Here I have written how to monitor Debezium MySQL connector with Prometheus and Grafana. But the dashboard is having the basic metrics only. You can build your own dashboard for more detailed monitoring.

Reference: List of Debezium monitoring metrics

Install JMX exporter in …

Percona Monitoring and Management (PMM) is built upon the shoulder of giants like Prometheus and Grafana. And speaking of Grafana, one of the coolest features that come with it is the ability to customize the experience through 3rd party plugins.

Plugins are an easy way to enhance the ability to have specialized graphs. One case that we saw in Managed Services is the ability to have a throughput graph, that shows QPS vs Threads running. This is different in essence of the “default” graphs that show a metric against time (time being the X-axis) since what we wanted is to show queries per second not during a time (that graph already exists) but for specific values of threads.

One way to achieve that is by using a plugin called Plotly …

One of the great things about Percona Monitoring and Management (PMM) is its flexibility. An example of that is how one can go beyond the exporters to collect data. One approach to achieve that is using textfile collectors, as explained in  Extended Metrics for Percona Monitoring and Management without modifying the Code. Another method, which is the subject matter of this post, is to use custom queries.

While working on a customer’s contention issue I wanted to check the behaviour of InnoDB Mutexes over time. Naturally, I went straight to PMM and didn’t find a graph suitable for my needs. No graph, no problem! Luckily anyone can enhance PMM. So here’s how I made the …

Percona announces the release of Percona Monitoring and Management 1.7.0. (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 features improved support for external services, which enables a PMM Server to store and display metrics for any available Prometheus exporter. For example, you could deploy the postgres_exporter and use PMM’s external services feature to store PostgreSQL metrics in PMM. Immediately, you’ll see these new metrics in …

Percona announces the release of Percona Monitoring and Management 1.6.1. This release contains fixes to bugs found after Percona Monitoring and Management 1.6.0 was released.

Bug fixes

• PMM-1660: QAN for MongoDB would not display data when authentication was enabled.
• PMM-1822: In Metrics Monitor, some tag names were incorrect in dashboards.
• PMM-1832: After upgrading to 1.5.2, it was not possible to disable an Amazon RDS instance on the Add RDS instance dashboard of Metrics Monitor.
• PMM-1907: In Metrics …

Percona announces the release of Percona Monitoring and Management (PMM) 1.6.0. In this release, Percona Monitoring and Management Grafana metrics are available in the Advanced Data Exploration dashboard. We’ve improved the integration with MyRocks, and its data is now collected from SHOW GLOBAL STATUS.

The MongoDB Exporter now features two new metrics: mongodb_up to inform if the MongoDB Server is running and mongodb_scrape_errors_total reporting the total number of errors when scaping MongoDB.

In this release, we’ve greatly improved the performance of the mongodb:metrics monitoring service.

Percona Monitoring and Management (PMM) 1.6.0 also …

Percona announces the release of Percona Monitoring and Management 1.5.3. This release contains fixes for bugs found after the release of Percona Monitoring and Management 1.5.2, as well as some important fixes and improvements not related to the previous release.

Improvements

• PMM-1874: The read timeout of the proxy server (/prometheus) has been increased from the default of 60 seconds to avoid nxginx gateway timeout error when loading data-rich dashboards.
• PMM-1863: We improved our handling of temporary Grafana credentials

Bug fixes

• …

In this post, we’ll examine how we’ve improved the GUI layout for Percona Monitoring and Management 1.5 by moving the Query Analytics (QAN) functions into the Grafana interface.

For Percona Monitoring and Management users, you might notice that QAN appears a little differently in our 1.5 release. We’ve taken steps to unify the PMM interface so that it feels more natural to move from reviewing historical trends in Metrics Monitor to examining slow queries in QAN.  Most significantly:

1. QAN moves from a stand-alone application into Metrics Monitor as a dashboard application
2. We updated the color scheme of QAN to match Metrics Monitor (but you can toggle a button if you prefer to still see QAN in white!)
3. Date picker and host selector now use the same methods as Metrics Monitor

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