Amazon Aurora is available through Amazon Relational Database Service (RDS) as a fully managed database engine. After launching an Aurora instance, you can connect to it using any database client that supports MySQL or PostgreSQL. Below you will find the resources you need to get started with Amazon Aurora, migrate your existing databases and applications, and learn best practices.
Learn the basics of Amazon Aurora and how it fits with other AWS services.
Introduction to Amazon Aurora (2:28)
Create Your First Aurora Database Cluster (4:15)
What's New in Amazon Aurora (45:00)
Get hands-on with Amazon Aurora. Leverage these tutorials and guides to get up and running fast.
Official user guide for all things Amazon RDS and Amazon Aurora.
Understand the benefits of Amazon Aurora and walk through the steps required to create and connect to your first Aurora database.
Configure and connect to a serverless Aurora MySQL database in this 10-minute tutorial.
Create an Aurora MySQL cluster with database nodes replicated across multiple AZs to gain increased read scalability and failover protection.
Create an Aurora PostgreSQL cluster in a multi-AZ environment. Learn about high availability, failover, encryption, alarms, and notifications.
Developing on Aurora
Aurora is compatible with the MySQL and PostgreSQL tools you use today, while offering additional features to enhance your productivity.
Learn about productivity-enhancing capabilities: Serverless, Fast Database Cloning, Backtrack, and Performance Insights.
Deep Dive on Amazon Aurora with PostgreSQL Compatibility (51:56)
Deep Dive on Amazon Aurora with MySQL Compatibility (1:02:23)
Aurora Serverless: Scalable, Cost-Effective Application Deployment (55:04)
Develop Database Applications Faster with Amazon Aurora (18:56)
Accelerate Database Development and Testing with Amazon Aurora (1:00:48)
Migrating to Aurora
It has never been easier to migrate your on-premises or cloud database to Amazon Aurora. Take a look at some of our resources to see how you can take advantage of Aurora today.
Best practices for planning, executing, and troubleshooting database migrations to Amazon Aurora.
Migrate data from a source Oracle database to the Amazon using AWS Database Migration Service in this step-by-step interactive project.
Important factors affecting the performance of self-managed export/import operations for MySQL and Amazon Aurora.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (1:05:42)
Step-by-step guides & playbooks for migrating commercial databases to Amazon Aurora.
Learn tips and tricks for getting the most of your database service. These resources will walk your through running a benchmark and share both migration and performance best practices.
InfoWorld offers an independent assessment of Amazon Aurora and shares some of their benchmark reports.
A guide to benchmarking performance of Amazon Aurora with MySQL compatibility.
A guide to benchmarking performance of Amazon Aurora with PostgreSQL compatibility.
Deep Dive on Amazon Aurora PostgreSQL Performance Tuning (58:24)
Get a handle on managing your Aurora service with these guides.
How to configure access to Amazon Aurora instances from on-premises equipment and EC2 instances.
Important factors affecting the performance of export/import operations for Amazon Aurora.
Best practices and options for using or migrating data to an Amazon Aurora database cluster.
How to Configure Your Amazon Aurora Database Cluster for Failover (3:07)
Fast Database Cloning in Amazon Aurora (1:24)
What’s New announcements are high-level summaries of launches and feature updates. Read Amazon Aurora specific updates and other AWS announcements.