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Amazon Aurora MySQL Monitoring with Percona Monitoring and Management (PMM)

 | February 14, 2018 |  Posted In: MySQL

Amazon Aurora MySQL Monitoring small

In this blog post, we’ll review additional Amazon Aurora MySQL monitoring capabilities we’ve added in Percona Monitoring and Management (PMM) 1.7.0. You can see them in action in the MySQL Amazon Aurora Metrics dashboard. Amazon Aurora MySQL Transaction Commits This graph looks at the number of commits the Amazon Aurora engine performed, as well as the […]

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Does Percona Monitoring and Management (PMM) Support External Monitoring Services? Yes It Does!

 | February 12, 2018 |  Posted In: Database Monitoring, MariaDB, MongoDB, MySQL, Percona Monitoring and Management

External Monitoring Services

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. Starting with version 1.4.0 and improved in 1.7.0, PMM supports external monitoring services. This […]

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Collect PostgreSQL Metrics with Percona Monitoring and Management (PMM)

 | February 9, 2018 |  Posted In: Database Monitoring, Percona Monitoring and Management, PMM, PostgreSQL

Collecting PostgreSQL Information using Percona Monitoring and Management

In this article, we’ll describe how to collect PostgreSQL metrics with Percona Monitoring and Management (PMM). We designed Percona Monitoring and Management (PMM) to be the best tool for MySQL and MongoDB performance investigation. At the same time, it’s built on mature opensource components: Prometheus’ time series database and Grafana. Starting from PMM 1.4.0. it’s possible to […]

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Announcing Experimental Percona Monitoring and Management (PMM) Functionality via Percona Labs

 | February 6, 2018 |  Posted In: Database Monitoring, MySQL, open source databases, Percona Monitoring and Management

Percona Monitoring and Management

In this blog post, we’ll introduce how you can look at some experimental Percona Monitoring and Management (PMM) features using Percona Labs builds on GitHub. Note: PerconaLabs and Percona-QA are open source GitHub repositories for unofficial scripts and tools created by Percona staff. While not covered by Percona support or services agreements, these handy utilities […]

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Percona Monitoring and Management 1.7.0 (PMM) Is Now Available

 | January 31, 2018 |  Posted In: Events and Announcements, MySQL, Percona Monitoring and Management, Percona Server for MongoDB, Percona Server for MySQL

Percona Monitoring and Management

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 […]

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Percona Monitoring and Management (PMM) 1.6.1 Is Now Available

 | January 25, 2018 |  Posted In: Events and Announcements, MySQL, Percona Monitoring and Management, Percona Server for MongoDB, Percona Server for MySQL

Percona Monitoring and Management

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, […]

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Percona Monitoring and Management (PMM) 1.6.0 Is Now Available

 | January 19, 2018 |  Posted In: Events and Announcements, MySQL, Percona Monitoring and Management, Percona Server for MongoDB, Percona Server for MySQL

Percona Monitoring and Management

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 […]

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Troubleshooting Percona Monitoring and Management (PMM) Metrics

 | January 17, 2018 |  Posted In: Database Monitoring, Insight for DBAs, Percona Monitoring and Management

In this blog post, I’ll look at some helpful tips on troubleshooting Percona Monitoring and Management metrics. With any luck, Percona Monitoring and Management (PMM) works for you out of the box. Sometimes, however, things go awry and you see empty or broken graphs instead of dashboards full of insights. Before we go through troubleshooting steps, let’s […]

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Webinar January 18, 2018: MySQL Troubleshooting and Performance Optimization with Percona Monitoring and Management (PMM) Part 2

and  | January 16, 2018 |  Posted In: Database Monitoring, Insight for DBAs, MySQL, Percona Monitoring and Management, Technical Webinars

Percona Monitoring and Management

Join Percona’s Product Manager Michael Coburn as he presents MySQL Troubleshooting and Performance Optimization with Percona Monitoring and Management (PMM) Part 2 on Thursday, January 18, 2018, at 11:00 am PST / 2:00 pm EST (UTC-8). Register Now Tags: Percona Monitoring and Management, PMM, Monitoring, MySQL, Performance, Optimization, DBA, SysAdmin, DevOps Experience Level: Expert Optimizing […]

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Compare Current and Past Time Series Graphs in Percona Monitoring and Management (PMM)

 | January 12, 2018 |  Posted In: Database Monitoring, MySQL, Percona Monitoring and Management

Percona Monitoring and Management

In this short blog post, I will show you how you can compare current and past time series in Percona Monitoring and Management (PMM). Recently, a support customer shared a graph with us that compared query throughput between today and yesterday as a confirmation that optimizing their server variables improved performance. Do you want to […]

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