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Peter Zaitsev
Peter managed the High Performance Group within MySQL until 2006, when he founded Percona. Peter has a Master's Degree in Computer Science and is an expert in database kernels, computer hardware, and application scaling.

Open Source Bait and Switch: Licensing and Beyond

Another day, another company announces it changed its license away from open source while claiming “We Believe In A Model Of Sustainable Open Source.” I’m not sure about you, but this rings to me as similar to an alleged quote about the Vietnam War: “We had to destroy the village in order to save it.” […]

ProcFS UDF: A Different Approach to Agentless Operating System Observability in Your Database

When you look at database performance, it does not only depend on internal database operations but also on things going on in the operating system, network, storage system, hardware, etc. With that, if you’re building software to help analyze and optimize database performance, such as Percona Monitoring and Management (PMM), you need access to information […]

Changes to Percona Monitoring and Management on AWS Marketplace

Percona Monitoring and Management has been available for single-click deployment from AWS Marketplace for several years now, and we have hundreds of instances concurrently active and growing rapidly due to unparalleled ease of deployment. Today we’re announcing we are changing pricing for Percona Monitoring and Management on AWS Marketplace. Currently, Percona Monitoring and Management (PMM) […]

Why SSPL is Bad For You, Part 2

After MongoDB switched to SSPL I wrote part one of this article, titled “Why MongoDB’s SSPL is Bad For You”. At the time it was a MongoDB phenomenon, though over the last 2+ years more companies (typically VC-funded unicorns or public companies) changed licenses to SSPL or similar. This culminated in Elastic changing their license […]

How to Use Prometheus Recording Rules With Percona Monitoring and Management

If you’re building custom dashboards for Percona Monitoring and Management (PMM), chances are you would like to use Prometheus recording rules for better performance. In the nutshell, recording rules act somewhat as materialized views in relational databases, pre-computing and storing results of complicated queries, to limit data crunching needed during dashboard load. As an example, […]