# DSQL: Simplifying Architectures

DevFeed: [DSQL: Simplifying Architectures](<https://devfeed.tech/articles/dsql-simplifying-architectures-12581.md>)

Original publisher: [Read original article](<http://brooker.co.za/blog/2025/11/02/thinking-dsql.html>)

Author: Marc Brooker

Published: 2025-11-02T00:00:00Z

Content type: opinion

Language: en

Sources: [Marc Brooker's Blog](<https://devfeed.tech/sources/marc-brooker-s-blog.md>), [Marc Brooker's Blog](<https://devfeed.tech/sources/marc-brooker-s-blog-2.md>)

Topics: [DSQL](<https://devfeed.tech/topics/dsql.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>), [Database](<https://devfeed.tech/topics/database.md>), [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>)

Tags: [building](<https://devfeed.tech/tags/building.md>), [complexity](<https://devfeed.tech/tags/complexity.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [cost](<https://devfeed.tech/tags/cost.md>), [database](<https://devfeed.tech/tags/database.md>), [dsql](<https://devfeed.tech/tags/dsql.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [memory](<https://devfeed.tech/tags/memory.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [scale](<https://devfeed.tech/tags/scale.md>), [serverless](<https://devfeed.tech/tags/serverless.md>)

## AI overview

The article presents Aurora DSQL as a way to simplify database-backed application architectures. It highlights serverless operation, automatic scaling of memory, CPU, and storage, managed software updates, usage-based pricing, strong consistency, and snapshot isolation. These features are described as reducing operational debt, infrastructure management, and application complexity.

## Source excerpt

DSQL: Simplifying Architectures Complexity is a choice. While we were designing and building Aurora DSQL, we spent a lot of time thinking about our experience building and running database-backed systems. We saw that building great, fast, cost-effective, highly-available, systems was harder than it needed to be. We wanted to make it easier. Today, I want to discuss some of Aurora DSQL's features, and how I think they come together to make your life, as an application, service, or website developer, easier. We wanted for our customers what we wanted for ourselves: a relational database that allows us to build great systems with simple architectures. Serverless: The most obvious one is serverlessness. With DSQL you don't need to pick hardware, manage clusters, design for failover, think about patching engines or systems, monitor CPU and memory, or any of the many other tasks that come with good cluster management. When you get started with any database, you can basically ignore these things: buying excess CPU and memory at small scale is cheap, and monitoring is easy when you aren't also trying to drive efficiency. But this is a kind of operational debt, which will eventually come due. With DSQL, you can avoid this debt entirely: the system scales memory, CPU, and storage to meet your application's needs, and so you don't need to monitor these things. It keeps the database software and system software up-to-date too. Scale-down: I see a lot of database architectures take on a lot of complexity to reduce cost during nights and weekends: scaling down primaries, removing read replicas, and even removing secondaries. These are smart cost management things with many database products, but you simply don't need them with DSQL. DSQL scales up and down with your application, priced on the amount of work your database is doing, not the scale of your infrastructure. Doing no work? You'll spend no money. Strong consistency and just-right isolation: DSQL offers a single isolation