Overview

One of the best things the DevOps movement has ushered in is the concept of Infrastructure as Code. IaC lets you define your infrastructure in specially formatted files, and allows you to use automation tools to create or modify your infrastructure based on those files. But did you know that you can also manage your database schemas in a similar approach?

Atlas CLI is a command line tool that helps manage the structure of your database by keeping a representation of the schema in a file. It can be used by itself to manage your schema changes, or as part of a CI/CD pipeline to automate the process of updating your schema based on the definition file. In this article, we’ll cover the basics of using Atlas CLI to generate a schema definition file, as well as updating …

Learn how to use Atlas CLI with PlanetScale to define your database as code.

This article outlines the basic configurations for setting up and deploying Percona XtraDB Cluster 8.0 (PXC) on Amazon EC2, as well as what is new in the setup compared to Percona XtraDB Cluster 5.7.

What is Percona XtraDB Cluster an ideal fit for?

Percona XtraDB Cluster is a cost-effective, high-performance clustering solution for mission-critical data. It combines all the improvements, and functionality found in MySQL 8 with Percona Server for MySQL‘s Enterprise features and Percona’s upgraded Galera library.

A Percona XtraDB Cluster environment is an ideal fit for applications requiring 5-9s uptime with high read …

list of conferences where you can MySQL.

The availability of MySQL HeatWave on Amazon Web Services (AWS) was announced on Monday, September 12, extending Oracle’s commitment to multi-cloud access. Many industry experts applaud this new platform support for MySQL HeatWave -- some of their quotes are included here.

Galera Load Balancer (GLB) is a scalable and performant, yet easy to use TCP/IP connection balancing proxy. It is the oldest, yet actively maintained load balancer in the MySQL ecosystem, with a wide array of customers using it in production.

Firstly, please request for binaries via contacting sales@galeracluster.com. Once you have access to the package repository, you’ll have access to RPMs. Installing the RPMs are straightforward, and you can also add it to your Yum repository. This blog presumes you already have access to the binaries.

You can start it up, really simply:

glbd --threads 6 127.0.0.1:3306 188.166.179.177:3306 165.22.50.152:3306 165.22.49.92:3306 …

Two weeks ago I was being drawn into the debug of artdb, the Replication hierarchy used by our Artifactory instance.

TL;DR

Artifactory overloaded the database. This was incident-handled by optimizing a number of slow queries using some covering index trickery, and by upgrading the hardware substantially.

Using the runway we bought, we found and partially fixed the following problems:

• Fixed: A number of very expensive reporting queries were sped up 16x to 20x using covering indexes, from 180s runtime to 8s-12s runtime.
• Fixed: We optimized our database and data size by completing the data lifecycle for several repo types, deleting old images.
• Fixed: Hardware upgrade lowered load even more, and sped up the queries even more.
• Fixed: …

The INFORMATION_SCHEMA database is full of information and metadata about your database(s). Columns are a necessity and their definition ensures sound storage and data integrity. Learn all about them with the COLUMNS table.

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Image by Gerd Altmann from  …

As a Database Engineer, One of the biggest challenges in day-to-day activity is performing DDL on high-traffic and transaction-intensive tables. It will become overhead when handling a large number of servers/shards.

As a standard process, we will first deploy the changes in DEV and QA before deploying them in production.

In the sharded environment, It will become a heavy overhead to maintain the schema changes in DEV, QA, and PROD servers. Since we will have multiple servers in the sharding.

To overcome this deployment supervision, the Skeema tool will help to deploy the changes in QA, DEV, and PROD in a safe and parallel ( for Shards ) as well.

This blog focuses on the basic operation of Skeema, will have a series of blogs on Skeema

1. About the …

Quality of a machine learning model must be assessed not only during model development phase but also after a model is deployed in production. During development, a model developer must keep in mind the impact of the results produced by the model and use appropriate scoring metrics that will expose underlying issues. For example, in […]