Amazon has announced PostgreSQL support for its Aurora Serverless database, 11 months after adding MySQL support. As Amazon puts it, this is “a new deployment option that automatically starts, scales, and shuts down an Amazon Aurora database, and it offers database capacity without the need to provision, scale, and manage any database servers.” AWS argues this will make capacity planning easier, as rather than running the risk of under or overprovisioning, users simply pay by the second when the database is in use – for example to handle seasonal spikes, or for testing and development. That’s the joy of serverless. Or the danger, if you’re not watching those costs closely.

Read more

join Faun to receive similar hand-curated and must-read articles and news.

Related Posts

1 month, 3 weeks ago

How I Make Jeff Richer

Once upon a time, it felt like most discussions about open source were predicated on answering this ..

1 month, 3 weeks ago


The high-performance distributed SQL database for global, internet-scale apps...

1 month, 3 weeks ago

Why Benchmarking Distributed Databases Is So Hard

Benchmarks are hard to get right, and many articles touting benchmarks are actually benchmarketing, ..

2 months ago

Why AWS Eventbridge Changes Everything..

AWS EventBridge may encourage SaaS businesses to formally define and manage public event models that..

George Mao , 2 months, 1 week ago

Best Practices For Developing on AWS Lambda

In our previous post we discussed the various ways you can invoke AWS Lambda functions. In this post..

Thiyagarajan Arumugam , 2 months, 1 week ago

Orchestrate an ETL Process Using AWS Step Functions For Amazon Redshift

Modern data lakes depend on extract, transform, and load (ETL) operations to convert bulk informatio..