The latest from the MySQL community

Modern applications are expected to deliver instant responses while processing increasingly large volumes of data. Achieving this level of performance isn’t simply a matter of making the database faster.It requires placing the right workload on the right layer of the architecture. Some operations require ultra-fast repeated reads, others demand transactional consistency, while analytical queries benefit […]

The post OCI Cache and MySQL HeatWave: Better Together for High-Performance Applications first appeared on Data Daz (dasini.net) - Data Systems, AI, and Real-World Insights.

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For some time, I am maintaining Planet for the MySQL Community, a blog / news aggregator for the MySQL Community/Ecosystem.  I am also maintaining a similar aggregator for the Valkey Community.

Maintaining blog / news aggregators is not free.  It incurs hosting, domain registration, and other costs (in addition to time,

Modern applications often rely on multiple services to provide fast, reliable, and scalable responses. A common and highly effective architecture involves an application, a persistent database (like MySQL), and a high-speed cache service (like Valkey).

In this guide, we’ll explore how to integrate these components effectively using Python to dramatically improve your application’s performance.

Understanding the 3-Server Architecture

In our example, the setup looks like this:

Application(172.31.68.72)
   |
   |-- MySQL client  -->  Percona Server (172.31.67.228)
   |
   |-- Valkey client -->  Valkey Server (172.31.22.118)

The Application: The brain of the system. It decides when to query the database and when to rely on cached data.

Valkey: An in-memory key-value store optimized for extremely fast reads and writes.

MySQL: The …