We’re happy to announce that our white paper ‘Tungsten Clustering – Benefits & Configurations’ for MySQL, MariaDB and Percona Server is available to read on our website.

Tungsten Clustering is a one-of-a-kind software solution that provides clustering, disaster recovery and high availability for MySQL, MariaDB & Percona Server databases.

It allows enterprises running business-critical database applications to cost-effectively achieve continuous operations on a global scale with:

• Commercial-grade high availability (HA)
• Geographically redundant disaster recovery (DR)
• Global operations with geographically distributed multi-master

…

If you have been around MySQL for any length of time, you are probably aware that choosing the correct data types and optimizing your schema are actually important tasks.  A few years back at Percona Live 2016, I gave an introductory talk on schema review and optimization. Here’s the video:

I was thinking about that talk in the context of some of my current clients.  Though I had worked on extremely large database deployments during my earlier tenure at Percona, it was often more of an outlier.  Now, working as a Technical Account Manager with our largest clients, it is much more common.

The Fundamental Problem

I’d like to expand my thoughts on the “choosing the smallest data type you can” principle from my 2016 slides through the lens of a few of my 2019 …

Percona Live is always a great opportunity to learn from the best and brightest in the open-source database community. This time, Percona Live Europe is being held at the Hilton Amsterdam Airport Schiphol, The Netherlands from September 30 to October 2, 2019.

Pythian will be present, as has been the case for the past few years, with some of our technical experts speaking on a variety of subjects and technologies.

Feel free to ping any of us during the conference breaks or community events, as we’ll be happy to answer any questions you have about anything open source, cloud, or data-related.

Here are some sessions you won’t want to miss:

Wednesday, October 2

9:00 AM – …

I’ve been away from writing blog posts — the last one was more than two years ago. I decided to write one on this topic, however; I found out that implementing a queue was harder than it should be (in my opinion). Although Magento’s shenanigans don’t really surprise me anymore, the complexity of getting a simple queue up and running caught me (and my estimate) by surprise. There’s a few other blog posts on this topic already, but I found they don’t quite get into the nitty gritty that you potentially can get stuck on.

You might be the first person to mention simple and async in one sentence.

— Fooman (@foomanNZ) July 8, 2019

That said, today I’m going to write about how to create a queue that does additional order processing using Magento 2 and MySQL only — without RabbitMQ.

Why …

When data and concurrency grow, together with queries complexity, a standard configuration does not fit anymore. This content walks through the ways MySQL has to adapt to an ever-increasing amount of data in context of tuning, under the heading “multiplication”:
—Scaling up through partitioning and how partitioning can help manage/archive data
—How to relocate binlog, undo, redo, tablespaces, or disk temporary tables and more on different mount points to take advantage of multiple storages and tackle I/O bottlenecks
—All improvements to parallel slave replication
—A quick OS approach, to verify swapping and affinity tuning take the most out of the machine.

All of this with different approaches to monitor the instance to spot what parts of the system and what queries need to be considered, mainly using:

— …

When data and concurrency grow, together with queries complexity, a standard configuration does not fit anymore. This content walks through the ways MySQL has to adapt to an ever-increasing amount of data in context of tuning, under the heading “multiplication”:
—Scaling up through partitioning and how partitioning can help manage/archive data
—How to relocate binlog, undo, redo, tablespaces, or disk temporary tables and more on different mount points to take advantage of multiple storages and tackle I/O bottlenecks
—All improvements to parallel slave replication
—A quick OS approach, to verify swapping and affinity tuning take the most out of the machine.

All of this with different approaches to monitor the instance to spot what parts of the system and what queries need to be considered, mainly using:

—Sys …

Properly planned MySQL Password Management is the first step to protect your database

We at MinervaDB provide MySQL and  MariaDB Database Security Audit (Please read about our Security Practice at MinervaDB Consulting Page) for our customers globally, We don’t go easy with password management .. Weaker passwords are serious security threats and we highly recommend stronger passwords. Technically Password Validation is about the policies that every new password must comply and this task is taken care by validate_password component in MySQL, You have several system variables to configure validate_password component and status variables to monitor

To use validate_password component you must install it first:

Verify …

Thank you so much for this! It took me hours to find, but fixed my problem in minutes.

Thanks again!

In the last few years there have been several examples of major service problems affecting businesses data: outages causing data inconsistencies; unavailability or data loss, and worldwide cyberattacks encrypting your files and asking for a ransom.

Database-related incidents are a very common industry issue- even if the root cause is not the database system itself. No matter if your main relational system is MySQL, MariaDB, PostgresQL or AWS Aurora -there will be a time where you will need to make use of backups to recover to a previous state. And when that happens it will be the worst time to realize that your backup system hadn’t been working for months, or testing for the first time a cluster-wide recovery.

Forget about the backups, it is all about recovery!

Let me be 100% clear: the question is not IF data …

We are glad to announce the 1.2.0 release of the  Percona Kubernetes Operator for Percona XtraDB Cluster.

The Percona Kubernetes Operator for Percona XtraDB Cluster automates the lifecycle and provides a consistent Percona XtraDB Cluster instance. The Operator can be used to create a Percona XtraDB Cluster, or scale an existing Cluster, and contains the necessary Kubernetes settings.

The Operator simplifies the deployment and management of the Percona XtraDB Cluster in Kubernetes-based environments. It extends the Kubernetes API with a new custom resource for deploying, configuring and managing the application through the whole life cycle.

The Operator source code is available …