Get started with Amazon Aurora

Step-by-step instructions to configure an Amazon Aurora cluster to create a high-availability database. A high-availability database consists of compute nodes replicated across multiple availability zones (AZs) to gain increased read scalability and failover protection. This tutorial uses Amazon Aurora with MySQL compatibility, but you can follow a similar process for the PostgreSQL edition.

In this tutorial, you will learn how to migrate from Amazon RDS MySQL to Amazon Aurora MySQL with minimal downtime. You'll also learn how to use RDS Read Replicas to migrate from RDS MySQL to Aurora MySQL,  how to promote a read replica to become the new standalone Aurora MySQL DB cluster and finally how to connect your application to the new DB cluster. 

Learn how to configure Amazon Aurora for MySQL to automatically scale by adding or removing read replicas to meet the fluctuating demands of your applications. This tutorial is not within the free tier but will cost less than $1 when following the step-by-step instructions, including terminating your resources after finishing the tutorial.

In this tutorial, you will learn how to clone an Aurora database cluster for development and testing and how to enable and use backtracking to “rewind” the cluster to a specific point in time. Cloning an Aurora cluster is useful to assess the impact of changes to your database and when performing workload intensive operations—such as exporting data or running analytical queries. This tutorial is NOT free tier eligible, but will cost you less than $1 when following these step-by-step instructions, including terminating your resources after finishing the tutorial

In this tutorial, you will learn how to configure and connect to Amazon Aurora Serverless. Aurora Serverless starts up, shuts down, or scales up or down your MySQL database with no manual intervention. You only pay for the capacity you use on a per second basis. This tutorial is not within the free tier, but will cost less than $1 when following the step-by-step instructions, including terminating your resources after finishing the tutorial.

In this tutorial, you will learn how to create a serverless message processing application with Amazon Aurora Serverless for PostgreSQL. Learn to create an Aurora Serverless database, use data APIs to connect to an Amazon Lambda function that consumes messages from Amazon SNS, and stores messages in an Aurora Serverless database instance.

In this tutorial, you will learn how to create an Amazon Aurora Global Database deployment that spans multiple AWS regions and replicates your data with no impact on performance. Aurora Global Database provides disaster recovery and enables low latency global reads and high local performance. This tutorial is not within the free tier. It will cost you less than $1 provided you follow the steps in the tutorial and terminate your resources at the close of the tutorial.

In this tutorial, you learn how to create an Amazon RDS Proxy and connect it to an existing Amazon RDS MySQL Database. Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon RDS and Amazon Aurora that makes applications more scalable, more resilient to database failures, and more secure. This tutorial focuses on how to use RDS Proxy on RDS MySQL but you can follow the same steps to connect RDS Proxy to Aurora.

In this tutorial, you learn how to create an Aurora PostgresSQL database, enable integration with Amazon Comprehend, and use Comprehend to perform sentiment analysis based on records in the database table.  After this tutorial, you should be able to use Amazon Aurora machine learning which enables you to add ML-based predictions to applications via the familiar SQL programming language without having to  learn separate tools or prior machine learning experience.