SQL is a very powerful language and syntax that can be leveraged to store access and manipulate data very quickly and effectively. In our configurations, SQL servers can be set up and managed in many ways. Often we deploy single MariaDB servers to complement local PHP applications. This allows for rapid performance that is tied directly to the application node. You can then tune and balance the application and database services to play nicely and share resources properly during periods of high load. This is delicate.

For many websites, the database is where the most dynamic and critical data is stored.  Without the database, we often don't have a website. To keep this critical piece of infrastructure operating at peek performance we can move the service away from the compute load and onto its own compute stack. This allows for heavy performance and reliability tuning making your database a very resilient object.

From a backup or high availability perspective, database servers pose several challenges due to their highly dynamic and tightly coupled nature.  Some data replication techniques become impractical over high latency links, while others do not provide real-time replicating risking the loss of hours of data in a critical failure. When working with databases a decision needs to be made about how much if any data loss is acceptable and plan according to that.

The database and other dynamic assets for any project can be the hardest to manage in a complex spread out infrastructure, but if you can master it you will never have data loss and you will always be operating at peek performance.

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