Author - Vadim Tkachenko

Percona Server for MongoDB 4.0 Is an Ideal Solution for Even More Production Use Cases

Percona Server for MongoDB

Percona announces the planned release of Percona Server for MongoDB 4.0, the latest version of the company’s free, enhanced, drop-in replacement for MongoDB Community Edition. Percona Server for MongoDB 4.0 includes all the features of MongoDB Community Edition 4.0, along with enterprise-class features from Percona that make it ideal for enterprise production environments.
Percona Server for […]

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Poll: MongoDB License Change

MongoDB Licensing poll

As you may have heard, MongoDB recently changed the license for MongoDB Community version from AGPL to SSPL. In order to better serve our users and customers, we’d like to ask about your plans.
Please select the answer that best describes your current thinking as a MongoDB user:

In the light of the MongoDB license changes…

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Scaling IO-Bound Workloads for MySQL in the Cloud – part 2

Rplot07-innodb-iops

This post is a followup to my previous article https://www.percona.com/blog/2018/08/29/scaling-io-bound-workloads-mysql-cloud/
In this instance, I want to show the data in different dimensions, primarily to answer questions around how throughput scales with increasing IOPS.
A recap: for the test I use Amazon instances and Amazon gp2 and io1 volumes. In addition to the original post, I also […]

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Upcoming Webinar Thurs 9/6: Running MySQL in Kubernetes

Running MySQL in Kubernetes

Please join Percona’s Chief Technology Officer, Vadim Tkachenko, as he presents Running MySQL in Kubernetes on Thursday, September 6th, 2018, at 11:00 AM PDT (UTC-7) / 2:00 PM EDT (UTC-4).
Register Now
 
Without question, Kubernetes is the most popular container orchestration platform. But can it handle databases? I think so, and in this webinar, I will […]

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Scaling IO-Bound Workloads for MySQL in the Cloud

InnoDB / MyRocks throughput on IO1

Is increasing GP2 volumes size or increasing IOPS for IO1 volumes a valid method for scaling IO-Bound workloads? In this post I’ll focus on one question: how much can we improve performance if we use faster cloud volumes? This post is a continuance of previous cloud research posts:

Saving With MyRocks in The Cloud
Percona XtraDB […]

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Saving With MyRocks in The Cloud

The main focus of a previous blog post was the performance of MyRocks when using fast SSD devices. However, I figured that MyRocks would be beneficial for use in cloud workloads, where storage is either slow or expensive.
In that earlier post, we demonstrated the benefits of MyRocks, especially for heavy IO workloads. Meanwhile, Mark wrote in […]

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On MySQL and Intel Optane performance

MySQL 8 versus Percona Server with heavy IO application on Intel Optane

Recently, Dimitri published the results of measuring MySQL 8.0 on Intel Optane storage device. In this blog post, I wanted to look at this in more detail and explore the performance of MySQL 8, MySQL 5.7 and Percona Server for MySQL using a similar set up. The Intel Optane is a very capable device, so […]

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AMD EPYC Performance Testing… or Don’t get on the wrong side of SystemD

Ubuntu 16 AMD EPYC

Ever since AMD released their EPYC CPU for servers I wanted to test it, but I did not have the opportunity until recently, when Packet.net started offering bare metal servers for a reasonable price. So I started a couple of instances to test Percona Server for MySQL under this CPU. In this benchmark, I discovered […]

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Running Percona XtraDB Cluster in Kubernetes/OpenShift

Diagram of Percona XtraDB Cluster / MySQL running in Kubernetes Open Shift

Kubernetes, and its most popular distribution OpenShift, receives a lot of interest as a container orchestration platform. However, databases remain a foreign entity, primarily because of their stateful nature, since container orchestration systems prefer stateless applications. That said, there has been good progress in support for StatefulSet applications and persistent storage, to the extent that […]

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