Category: Database

Even though we published 294 posts on this blog last year, I left out quite a number of worthwhile launches! Today I would like to focus on Amazon Relational Database Service (Amazon RDS) and recap all of the progress that the teams behind this family of services made in 2016. The team focused on four […]

AWS customers are making great use of Amazon DynamoDB. They love the speed and flexibility and build Ad Tech (reference architecture), Gaming (reference architecture), IoT (reference architecture), and other applications that take advantage of the consistent, single-digit millisecond latency. They also love the fact that DynamoDB is a managed, serverless database that scales to handle […]

Migrating from one database engine to another can be tricky when the database is supporting an application or a web site that is running 24×7. Without the option to take the database offline, an approach that is based on replication is generally the best solution. Today we are launching a new feature that allows you […]

If you are counting down the seconds before 2016 is history, be sure to add one at the very end! The next leap second (the 27th so far) will be inserted on December 31, 2016 at 23:59:60 UTC. This will keep Earth time (Coordinated Universal Time) close to mean solar time and means that the […]

Despite stiff competition from many other AWS services, Amazon Aurora is still the fastest-growing service in AWS history! Our customers love the speed, performance, and availability. They are making great use of the MySQL compatible side of Aurora today, and are looking forward to using the PostgreSQL compatible side in the future (read Amazon Aurora […]

Ray Zhu from the Amazon Kinesis team wrote this great post about how to set up a streaming data pipeline. He carefully shows you step by step how he set it all up and how you can do it too. -Ana   Consumer demand for better experiences is ever increasing today. Companies across different industry […]

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 […]