It is even possible to pause the whole compute layer. The compute layer scales vertically from 1 ACU (approximately 1 vCPU and 2 GiB memory) to 256 ACU (approximately 64 vCPU and 488 GiB memory) and adapts to the current workload automatically.Also, the I/O throughput of the storage layer scales nearly endlessly.
On top of that, the storage capacity scales from 10 GiB to 64 TiB. The storage layer replicates the data among multiple availability zones by default.It’s high time to put the service through its paces.ĭo you prefer listening to a podcast episode over reading a blog post? Here you go! Introducing Amazon Aurora ServerlessĪs shown in the following figure, an Aurora Serverless database cluster consists of two layers: Recently, AWS announced a PostgreSQL-compatible edition as well. The MySQL-compatible edition is generally available since August 2018. But what if you don’t want to miss all the advantages of an SQL database? You should check out Amazon Aurora Serverless, a cloud-native SQL database.ĪWS announced the 2nd generation of Aurora Serverless in April 2022. But how do you scale your database? Use a NoSQL database like DynamoDB, one could say. EC2 Auto Scaling, Fargate, and Lambda enable horizontal scaling. It was never easier to scale your compute layer.