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The Impact of Swapping on MySQL Performance

 | January 13, 2017 |  Posted In: InnoDB, Insight for DBAs, MySQL, PMM

In this blog, I’ll look at the impact of swapping on MySQL performance.  It’s common sense that when you’re running MySQL (or really any other DBMS) you don’t want to see any I/O in your swap space. Scaling the cache size (using innodb_buffer_pool_size in MySQL’s case) is standard practice to make sure there is enough free […]

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Webinar Thursday, January 12: Percona Software News and Roadmap Update for Q1 2017

 | January 10, 2017 |  Posted In: MongoDB, MySQL, Percona Managed Services, Percona Monitoring and Management, Percona Monitoring Plugins, Percona Server for MySQL, Percona Software, Percona XtraBackup, Percona XtraDB Cluster, PMM, Technical Webinars

Please join Percona CEO Peter Zaitsev for a webinar on Thursday, January 12, 2017 at 11 am PST/ 2 pm EST (UTC-8) for a discussion on the Percona Software News and Roadmap Update for Q1 2017. In this webinar, Peter will discuss what’s new in Percona open source software. This will include Percona Server for […]

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Installing Percona Monitoring and Management on Google Container Engine (Kubernetes)

 | December 21, 2016 |  Posted In: Docker, Percona Monitoring and Management, PMM

This blog discusses installing Percona Monitoring and Management on Google Container Engine. I am working with a client that is on Google Cloud Services (GCS) and wants to use Percona Monitoring and Management (PMM). They liked the idea of using Google Container Engine (GKE) to manage the docker container that pmm-server uses. The regular install […]

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Database Solutions Engineer FAQs

 | December 12, 2016 |  Posted In: Cloud and MySQL, Database Monitoring, High-availability, MySQL, Percona Monitoring and Management, Percona MySQL Consulting, Percona XtraDB Cluster, PMM, Solutions Engineering

Database Solutions Engineer

In this blog series, I will discuss common questions I receive as a database Solutions Engineer at Percona. In this role, I speak with a wide array of MySQL and MongoDB users responsible for both extremely large and complex environments to smaller single-server environments. Typically we are contacted when the customer is about to embark […]

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