However, this does not prohibit you from explicitly connecting without SSL. The good news is that when you connect to the cluster, it should use SSL automatically, so there's nothing you need to do there, if that's sufficient for your use case. If you change this parameter in a DB cluster parameter group that's associated to your Aurora Serverless cluster, it will not impact anything. This is however, not supported by Aurora Serverless. As part of that, you can use the rds.force_ssl parameter (for PostgreSQL) to choose whether you require SSL connections to your database. When you provision a new RDS database, you'll usually create and assign a parameter group to it to influence underlying and more discrete configurations. EngineVersion'Īurora Serverless does not support enforcing SSL (encryption in transit). Get all MySQL versions supported by provisioned Aurora aws rds describe-db-engine-versions | jq '.DBEngineVersions | select((.Engine = "aurora-mysql") and (.SupportedEngineModes | contains("provisioned"))) |. Get all PostgreSQL versions supported by provisioned Aurora aws rds describe-db-engine-versions | jq '.DBEngineVersions | select((.Engine = "aurora-postgresql") and (.SupportedEngineModes | contains("provisioned"))) |. Get all MySQL versions supported by Aurora Serverless aws rds describe-db-engine-versions | jq '.DBEngineVersions | select((.Engine = "aurora-mysql") and (.SupportedEngineModes | contains("serverless"))) |. Get all PostgreSQL versions supported by Aurora Serverless aws rds describe-db-engine-versions | jq '.DBEngineVersions | select((.Engine = "aurora-postgresql") and (.SupportedEngineModes | contains("serverless"))) |. See below for what is supported for Aurora Serverless versus a provisioned Aurora.įor reference, you can run the below AWS CLI commands to retrieve relevant information for what versions Aurora supports. Only one version of PostgreSQL and MySQL is supported by Aurora Serverless.Īt the time of writing this, not all or even the latest versions of PostgreSQL and MySQL are supported. This understanding may be more straightforward if you're provisioning Aurora Serverless in the AWS console, however, this distinction may not be as clearly differentiated in infrastructure as code documentation (e.g., Terraform, CloudFormation) AWS will provision the database instances under the covers and scale up and down based on how you configure the cluster. ![]() With Aurora Serverless, AWS manages the underlying instances for you, therefore, you only need to worry about configuring the cluster. You only need to create a cluster with Aurora Serverless, not DB Instances. This means that these callouts may not apply to the v2 beta of Aurora Serverless or to MySQL use cases (unless explicitly mentioned). Note: All of the below are relative to version 1 of Aurora Serverless and are in the context of utilization of the PostgreSQL engine. ![]() Many of these items are mentioned somewhere in the AWS documentation, however, they may not necessarily stand out until you're at a point of digging deeper into implementation. While building out the Aurora cluster, I ran into a few things that I think are worth calling out. If you're interested in learning more about it, here's AWS's overview.įor my use case, Aurora was an ideal fit. It supports PostgreSQL and MySQL and is great for variable and unpredictable workloads. If you're not familiar, Aurora Serverless is AWS's relatively new serverless database option. ![]() I recently implemented an Aurora Serverless (v1) cluster as a data storage layer for a larger system I've been working on.
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