MySQL

A second part in the series, we are taking a look at the parallel gzip and network throttling for MariaBackup

When you install ClusterControl, it has a default configuration that maybe doesn’t fit your requirements, so probably you will need to customize this installation. In this blog, we will show you where you can modify the configuration and the available options.

ClusterControl can, among others, act as a great tool to help you design and execute the backup schedule. Numerous features are available including backup verification, transparent backup encryption and many others. What is quite commonly missing is the ability of ClusterControl to tune backup tools that we use to create the backup. In this blog we would like to go over some of the settings that can be applied to MariaBackup.

This blog describes how clusters deployed by ClusterControl can be imported into Vitess while ClusterControl will still provide monitoring, management and automated failover

In this blog post, we are going to walk you through the deployment of a cluster of two MariaDB shards using ClusterControl. We are going to deploy a handful of MariaDB servers (for redundancy and availability) to host a partitioned table based on a range of a selected shard key.

In this blog post, we are going to show how to generate test data for a sharded or partitioned table in MySQL using Sysbench. This can be used as a playground for us to dive further into the cause-effect of table partitioning, data distribution and query routing.

We will discuss the benefits of using SELinux, provide some examples on how to use it with ClusterControl and tell you how you should go about configuring it for MySQL-based systems.

Security is key for harnessing your important data, especially those corporations that are dealing with health insurance, e-commerce, financial institutions, or any related enterprise that has terms for tight privacy. This blog will guide you on how to manage security with your database to the kernel level using AppArmor on Ubuntu or Debian based Linux infrastructure.

Advanced failover is very important - it might even be necessary when you have a very complex database setup. When dealing with disasters that can happen in unanticipated events, pre/post scripts can be very helpful to determine how feasible and how true is the alarm that was triggered. Proceeding on a failover after a false positive is a waste of money, resources, and waste of time. ClusterControl has these features and this blog demonstrates how you can take advantage of them dedicated for advanced failover.

MySQL replication is easy to set up, but also easy to break! What do you do when replication stops, and will not restart? In cases where replication cannot be restarted, how do you failover to a new master? This blog post discusses some of the common replication issues in MySQL setups, and how to fix them with ClusterControl.

MySQL Replication is commonly used by organizations and companies for running their large production environments. There are certain practices that are adopted to avoid disasters or mishaps in this topology. Some issues can lead to a huge downtime and loss of business caused by lack of expertise and improper setup. This blog will cover the best practices that are usually adopted by MySQL experts in the industry.

ClusterControl offers you a different approach of managing databases which can not be observed and experienced in other platforms. It can be deployed on-prem, on the cloud, or on a containerized type of environment. It can be deployed flexibly and has a massive feature that offers rich and powerful operations that makes it easier to manage your database and without requiring you to create your automated scripts. ClusterControl will handle this for you as shown by this blog. This blog showcases how it is feasible to manage multiple database technologies with ClusterControl.

Data governance defines a set of principles to ensure data quality in a company. It describes the processes, roles, policies or responsibilities, and metrics to ensure accountability and ownership of data assets across the enterprise. This blog discusses the six critical components to successful data governance for better data quality.

In this blog post, we are going to focus on SNMP traps and alerting. SNMP Traps are the most frequently used alert messages sent from a remote SNMP-enabled device (an agent) to a central collector, the “SNMP manager.” In the case of ClusterControl, a trap could be an alert after the critical alarm for a cluster is not 0, indicating something bad is happening.

In this blog series, we are going to showcase a proof-of-concept (PoC) on how to integrate ClusterControl with SNMP protocol. At the end of the blog series, we would ultimately be able to send an SNMP trap to an SNMP manager (Nagios, Zabbix, etc). In this first part, we are going to cover the MIB and SNMP agent.

Scaling databases is not the easiest task for multiple reasons. In the first blog, we discussed the basic concepts related to the process of scaling databases. This second part of the series discusses the challenges of scaling and how you can deal with the increase of the load on your database environment

Managing a very large database incurs huge challenges and fears in case of data loss, disasters, or lack of experience of the database to use. However, knowing the basics that could help you determine beforehand to prepare things and make it efficient is the most important thing to have. This blog covers these things on how to manage a very large database and what are the things you have to know.

This blog post is the third part of a series about indexes in MySQL where we help you understand what indexes are, what they do and how they can be used in order to push your database performance to the max. The second part of the blog post series on MySQL indexes, covered indexes and storage engines and touched upon some PRIMARY KEY considerations. The discussion also included how to match a column prefix, some FULLTEXT index considerations, B-Tree indexes with wildcards and how to use ClusterControl to monitor your queries' performance, subsequently, indexes. 

This blog post is the second part of a series about indexes in MySQL where we help you understand what indexes are, what they do and how they can be used in order to push your database performance to the max.In the first part of the blog post series about MySQL indexes, we have covered quite many things, including what they are, what they do, what their types are, how to choose optimal data types, and MySQL character sets for indexes that you use. 

This blog post is a part of a series about indexes in MySQL where we help you understand what indexes are, what they do and how they can be used in order to push your database performance to the max.

Database scaling gives the database systems the ability to handle higher load. In this blog, we discussed the basic concepts related to the process of scaling databases, including its definition, the need for database scaling and the available scaling types.