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How much disk space should I allocate for Percona Monitoring and Management?

 | May 4, 2017 |  Posted In: Database Monitoring, InnoDB, MongoDB, MySQL, Percona Monitoring and Management, PMM

Percona Monitoring and Management

I heard a frequent question at last week’s Percona Live conference regarding Percona Monitoring and Management (PMM): How much disk space should I allocate for PMM Server? First, let’s review the three components of Percona Monitoring and Management that consume non-negligible disk space: Prometheus data source for the time series metrics Query Analytics (QAN) which […]

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New MariaDB Dashboard in Percona Monitoring and Management Metrics Monitor

 | April 3, 2017 |  Posted In: Events and Announcements, InnoDB, Insight for DBAs, Insight for Developers, MariaDB, MySQL, Percona Monitoring and Management, Percona Server, Percona Software, PMM

MariaDB

In honor of the upcoming MariaDB M17 conference in New York City on April 11-12, we have enhanced Percona Monitoring and Management (PMM) Metrics Monitor with a new MariaDB Dashboard and multiple new graphs! The Percona Monitoring and Management MariaDB Dashboard builds on the efforts of the MariaDB development team to instrument the Aria Storage Engine Status Variables related […]

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Q&A: High availability when using MySQL in the cloud

 | June 19, 2015 |  Posted In: Cloud and MySQL, MySQL, Percona XtraDB Cluster, Technical Webinars

Last week I hosted a webinar on using MySQL in the cloud for High Availability (HA) alongside 451 Research analyst Jason Stamper. You can watch the recording and also download the slides (free) here. Just click the “Register” button at the end of that page. We had several excellent questions and we didn’t have time […]

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High availability using MySQL in the cloud

 | June 4, 2015 |  Posted In: High-availability, MySQL, OpenStack

Next Wednesday (June 10) I’ll be co-presenting a webinar on using MySQL in the cloud for High Availability (HA). Joining me will be 451 Research analyst Jason Stamper and together we’ll talk about the realities of HA using MySQL in the cloud and how vendors are responding to changing application requirements with new developments that […]

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Using sysbench 0.5 for performing MySQL benchmarks

 | September 2, 2014 |  Posted In: Benchmarks, Insight for DBAs, MySQL, OpenStack, Percona MySQL Consulting, Percona MySQL Support

Given the recent excitement & interest around OpenStack I wanted to make sure I was ready to conduct appropriate evaluations of system performance.  I generally turn to sysbench since it comes with a variety of different tests (accessed via –test= option interface), including: fileio – File I/O test cpu – CPU performance test memory – […]

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What I learned while migrating a customer MySQL installation to Amazon RDS

 | July 28, 2014 |  Posted In: Cloud and MySQL, Cloud and NoSQL, Insight for DBAs, MySQL, Percona MySQL Consulting, Percona MySQL Support

Hi, I recently had the experience of assisting with a migration of a customer MySQL installation to Amazon RDS (Relational Database Service). Amazon RDS is a great platform for hosting your MySQL installation and offers the following list of pros and cons: You can scale your CPU, IOPS, and storage space separately by using Amazon […]

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Using MySQL triggers and views in Amazon RDS

 | July 2, 2014 |  Posted In: Cloud and MySQL, Cloud and NoSQL, Insight for DBAs, MySQL

I recently had an opportunity to migrate a customer from a physical server into Amazon’s RDS environment. In this particular case the customers’ platform makes extensive use of MySQL triggers and views.  I came across two significant issues that prevented me from following Amazon’s documentation, which basically states “use mysqldump” but doesn’t call out a […]

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Seconds_Behind_Master fluctuating wildly? Check for events caught in a loop

 | December 13, 2013 |  Posted In: Insight for DBAs, MySQL, Percona MySQL Consulting

Recently I was working with a customer where we noticed that Seconds_Behind_Master fluctuating from an expected value of 0 seconds behind to a fairly high six figure value.  The servers were configured in a master-master relationship and used 5 figure server_id values, and we had just migrated this cluster from one data centre to another […]

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