Options using MySQL Pairs

Configuring a production environment using a pair of MySQL servers in a Master/Fail Over Master situation is a common process to provide many benefits including supporting failover, backup/recovery, higher availability for software & database upgrades. This is also a common method for database shards. One of the key hidden benefits is by performing regular controlled failovers for example with software upgrades you are actively testing your disaster recovery procedures. Most organizations have a partial plan, some don’t have any, but rarely do people test their disaster recovery.

There is no one way to configure and manage such an environment. There are a number of options including:

  • Develop your own home grown scripts
  • Flipper by Proven Scaling
  • MMM by Percona
  • Heatbeat by the Linux High Availability Project

I have started a detailed review of a number of these technologies and will be providing my findings for review.

This is not the only way to solve the problems of course. Google for example have provided MySQL Patches that include features such as semi-sync replication and mirrored binary logs. Red Hat Cluster suite, and MySQL/DRBD are other technologies but less idea for various reasons specifically the “cold” nature of the failover environment.

Tagged with: Databases MySQL

Related Posts

Creating a More Realistic Benchmark

Common benchmark approaches fall into two general categories, synthetic testing and realistic testing. You have the most generic operations from a synthetic test, starting with the most simple example using a single table, a single column, and for a single DML operation.

Read more

Testing, Benchmarking, Evaluating

Testing and benchmarking are widely used terms in software technology, each serving a distinct purpose and goal. With the increasing adoption of AI in software development, the term evaluating has become significant and with this the re-emergence of what is quality assurance.

Read more

Your Attack Vector Extends Beyond Production Systems

A common data security issue is the unprotected copying of production data to non-production environments without any redaction, masking, or filtering. This practice poses a serious risk. A malicious actor will target the weakest link in your infrastructure, including non-production accounts and the developer systems accessing them.

Read more