AWS Database Blog

Amazon ElastiCache for Redis is a fully managed service compatible with the Redis API. ElastiCache is a fast in-memory data store, and many customers choose it to power some of their most performance-sensitive, real-time applications. Today, we are excited to share that you can now effectively maximize your performance by upgrading from ElastiCache for Redis […]

Migrating self-managed Oracle databases running on-premises or on Amazon Elastic Compute Cloud (Amazon EC2) to Amazon Relational Database Service (Amazon RDS) for Oracle is a common migration path for customers looking to adopt a managed database solution from AWS. This managed service appeals to customers who are looking to reduce the cost and overhead of […]

In this post, we demonstrate how to modify the Amazon Aurora reader auto scaling configuration on a schedule using AWS Application Auto Scaling, on top of the existing auto scaling policies. When your application grows, the load on your database will most likely grow as your application saves larger amounts of data. Whether it’s the […]

Customers in industries such as healthcare and financial services take full advantage of the built-in security features of SQL Server to meet their regulatory and compliance requirements. When migrating their database to the AWS Cloud, we often see customers asking for SQL Server security feature support such as TDE, column-level encryption on Amazon Relational Database […]

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service that automates the setup, operation, and scaling of databases in the cloud while granting you access to the underlying operating system and database environment. You can provision a Multi-AZ Amazon RDS Custom for SQL Server instance for a highly available environment with automatic […]

Amazon Virtual Private Cloud (Amazon VPC) enables you to provision a logically isolated section of the AWS Cloud where AWS resources such as Amazon Relational Database Service (Amazon RDS) Custom DB instances can be launched in a virtual network you define. When creating an Amazon RDS Custom DB instance, you have the option to create […]

To be successful with a graph database—such as Amazon Neptune, a managed graph database service—you need a graph data model that captures the data you need and can answer your questions efficiently. Building that model is an iterative process. The earliest stage of the process, in which you are merely getting initial elements on paper […]

Today, we are announcing Amazon RDS Proxy multiplexing support for PostgreSQL Extended Query Protocol. In this post, you learn about PostgreSQL’s Extended Query Protocol for communication between client and server, its benefits, and how multiplexing support for Extended Query Protocol can improve the connection pooling capability of RDS Proxy, which in turn reduces the overhead […]

Customer databases are constantly growing. When you increase storage for a database in Amazon Relational Database Service (Amazon RDS), you can’t make further storage modifications for either 6 hours or until storage optimization has completed on the instance, whichever is longer. Amazon RDS storage autoscaling increases storage by 10 GiB, 10% of currently allocated storage, […]

Customers often face the challenge of optimizing the cost of their database environments, while having to improve their application performance and response times, as both their data volumes and user base grow. Internet-scale applications that have large volumes of data and high volumes of throughput need underlying data architectures that can support microsecond latencies. Improving […]