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Maximizing Azure SQL Database performance with a globally distributed Redis write-behind cache

Maximizing Azure SQL Database performance with a globally distributed Redis write-behind cache

For those looking to leverage Azure SQL Database for high-performance data storage, this post explores the potential of using a globally distributed Redis write-behind cache. As a platform as a service (PaaS) relational database service, Azure SQL Database enables users to process both relational and non-relational data structures, making it a versatile choice for modern cloud applications.

However, to maximize its performance and ensure high availability, it can be beneficial to incorporate a globally distributed Redis write-behind cache. By doing so, users can lower their application latency and enhance their overall performance. This post delves into the details of how to implement this technology, empowering users to unlock the full potential of Azure SQL Database.

Whether you're a seasoned data professional or just getting started with Azure SQL Database, this informative post provides valuable insights into effectively leveraging the technology to its fullest potential.

The post Maximizing Azure SQL Database performance with a globally distributed Redis write-behind cache was originally published on Azure SQL Devs’ Corner.

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