Category: Announcements

Amazon Aurora Serverless v2 now supports scaling capacity down to 0 ACUs, enabling you to optimize costs during periods of database inactivity. Aurora Serverless is an on-demand, auto scaling configuration of Aurora that automatically adjusts your database capacity based on your workload requirements. Aurora Serverless measures database capacity in Aurora Capacity Units (ACUs) billed per second. 1 […]

Amazon DynamoDB is a serverless, NoSQL, fully managed database service that delivers single-digit millisecond latency at any scale. AWS recently announced the general availability of attribute-based access control (ABAC) for Amazon DynamoDB. ABAC is an authorization strategy that defines permissions based on attributes. In AWS, these attributes are called tags. You can attach tags to […]

Our continued engineering investments on how efficiently we can operate DynamoDB allow us to identify and pass on cost savings to you. Effective November 1, 2024, DynamoDB has reduced prices for on-demand throughput by 50% and global tables by up to 67%, making it more cost-effective than ever to build, scale, and optimize applications. In this post, we discuss the benefits of these price reductions, on-demand mode, and global tables.

Amazon RDS Custom for SQL Server now allows you to directly join your DB instances to the domains of Microsoft Active Directory (AD). In this post, we show how to join RDS Custom DB instances to an AD for Windows Authentication. This applies to AD domains running in a self-managed environment either on premises or Amazon Elastic Compute Cloud (Amazon EC2) and AWS Managed Microsoft AD.

In this post, we discuss the challenges with traditional data analytics mechanisms, our approach to solve them, and how you can use Amazon Aurora PostgreSQL-Compatible Edition zero-ETL integration with Amazon Redshift, which is generally available as of October 15th, 2024.

As of October 8th 2024, we’ve added support for Valkey 7.2 on Amazon ElastiCache and Amazon MemoryDB, our fully managed in-memory services. In this post, we discuss the AWS contributions to Valkey, AWS commitment to making Valkey more accessible for ElastiCache and MemoryDB customers, and how customers can start using it in their applications.

AWS announced that Amazon Aurora Serverless v2 supports database capacity of up to 256 Aurora Capacity Units (ACUs). Aurora Serverless v2 is an on-demand, auto scaling configuration for Amazon Aurora. It adjusts capacity in fine-grained increments to provide the right amount of database resources that the application needs. There is no database capacity for you […]

Amazon ElastiCache, a fully managed, Redis OSS- and Memcached-compatible caching service, now supports size flexibility for all its reserved node offerings, enabling your reserved node discount to apply across differently sized node types beyond the size specified in your reservation. With flexible reserved nodes, you no longer need to commit to a specific node size when purchasing a reservation, reducing the overhead of capacity planning and enabling you to right-size your clusters as your workloads and capacity needs change. In this post, we explain how you can use this new size flexibility feature to leverage discounted pricing on your ElastiCache clusters.

Amazon Neptune Analytics now supports openCypher queries over RDF graphs. When you build an application that uses a graph database such as Amazon Neptune, you’re typically faced with a technology choice at the start: There are two different types of graphs, Resource Description Framework (RDF) graphs and labeled property graphs (LPGs), and your choice of […]

In this post, we show how you can reduce your cost by up to 75% when getting started with graph analytics workloads using the new 32 and 64 m-NCU capacities for Neptune Analytics. Many commonly used sample datasets can fit on 32 or 64 m-NCU, allowing you to work with the same data but at a lower cost. We also discuss how to monitor the graph size and resize m-NCUs without downtime.