8/27/2023 0 Comments Aurora capacity unit calculatorSince its launch, thousands of customers have used Amazon Aurora Serverless as a cost-effective option for infrequent, intermittent, and unpredictable workloads. To solve this problem, in 2018, we launched the first version of Amazon Aurora Serverless. However, this requires expertise and often incurs downtime. To provision the right amount of compute, you need to continuously monitor the database capacity consumption and scale up resources if consumption is high. However, this approach is expensive as database workloads rarely run at peak capacity. To serve these kinds of workloads, you need to provision for the peak capacity you expect your database will need. Workloads can be spiky, infrequent, or have predictable spikes over a period of time. However, many customers said that they need the same flexibility in the compute layer of Amazon Aurora since most database workloads don’t need a constant amount of compute. For example, you can store lots of data, and if one day you decide to drop most of the data, the storage provisioned adjusts. Amazon Aurora storage automatically scales as the amount of data in your database increases. One of the key features of Amazon Aurora is the separation of compute and storage. It is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administrative tasks, such as hardware provisioning, database setup, patches, and backups. Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora that allows your database to scale capacity up or down based on your application’s needs.Īmazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. Today we are very excited to announce that Amazon Aurora Serverless v2 is generally available for both Aurora PostgreSQL and MySQL.
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