Category: Amazon Aurora

Just two years ago (it seems like yesterday), I introduced you to Amazon Aurora in my post Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS. In that post I told you how the RDS team took a fresh, unconstrained look at the relational database model and explained how they built a relational […]

Amazon Aurora already allows you to make your choice of five DB instance classes ranging from the db.r3.large (2 vCPUs and 15 GiB of RAM) up to the db.r3.8xlarge (32 vCPUs and 244 GiB of RAM). These instances support a very wide range of production-scale applications and use cases. Today we giving you a sixth […]

Many AWS services work just fine by themselves, but even better together! This important aspect of our model allows you to select a single service, learn about it, get some experience with it, and then extend your span to other related services over time. On the other hand, opportunities to make the services work together […]

Feature-by-feature, Amazon Aurora has become more powerful and easier to use. Over the past months we have given you the ability to create a cluster from a MySQL backup, create cross-region read replicas, share snapshots across accounts, exercise additional control over failover, and migrate from other in-cloud or on-premises databases to Aurora. Today, as an […]

Amazon Aurora is currently the fastest-growing AWS service! As a relational database designed for the cloud (read Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS to learn more), Aurora offers great performance, effortless storage scaling all the way up to 64 TB, durability, and high availability. Because Aurora was designed to be […]

After potential AWS customers see the benefits of moving to the cloud, they often ask about the best way to migrate their applications and their data, including large amounts of structured information stored in relational databases. Today we are launching an important new feature for Amazon Aurora. If you are already making use of MySQL, […]

Long-time AWS customer Zynga is making great use of Amazon Aurora and other AWS database services. In today’s guest post you can learn about how they use Amazon Aurora to accommodate spikes in their workload. This post was written by Chris Broglie of Zynga. — Jeff; Zynga has long operated various database technologies, ranging from […]

You already have the power to scale the read capacity of your Amazon Aurora instances by adding additional read replicas to an existing cluster. Today we are giving you the power to create a read replica in another region. This new feature will allow you to support cross-region disaster recovery and to scale out reads. […]