Category: Announcements

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Microsoft SQL Server 2022 for Express, Web, Standard, and Enterprise Editions. You can use SQL Server 2022 features such as accelerated database recovery, intelligent query processing, intelligent performance, monitoring improvements, and resumable online index creations. In this post, we summarize the new features on […]

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you’re currently using.

Today, we are introducing support for frozen collections in Amazon Keyspaces. With this launch, you can use the frozen keyword and store collection data types (like lists, sets, and maps) as a single, immutable value. In this post, we discuss the benefits and use cases of this new feature, and demonstrate how to create and use frozen collections in Amazon Keyspaces.

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 […]

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 […]

For workloads that require simpler orchestration of creating a staging environment for extensive testing and achieve maximum availability during a major version upgrade, we’re pleased to announce the general availability of Amazon RDS blue/green deployments for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL for versions 11.21 and higher, 12.16 and higher, 13.12 and higher, 14.9 and higher, and 15.4 and higher in all applicable AWS Regions and AWS GovCloud (US) Regions. In this post, we walk through an example of creating a blue/green deployment. We also show how to perform major version upgrades using blue/green deployment with minimal downtime and describe the switchover process. Finally, we discuss the best practices for using blue/green deployment.

When using Amazon Aurora MySQL-Compatible Edition for operating your relational databases in the AWS cloud, one of the key requirements is to verify that it is highly available during planned and unplanned outages. As database administrators, you should perform occasional database maintenance. This can be in the form of database patching, upgrades, database parameter modifications […]

In this post, we walk through an example for creating an active-active replication setup between two RDS for PostgreSQL instances. We also show how to monitor replication lag between instances, and review how to detect and resolve conflicts. Finally, we discuss strategies to design applications to work with pgactive.

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. In 2020, DynamoDB introduced a feature to export DynamoDB table data to Amazon Simple Storage Service (Amazon S3) with […]

Customers often ask us how they can create an RDS Custom for SQL Server database in their existing networking infrastructure. They want to ensure that the database servers are created within the security perimeter designed by their networking teams. They also want to understand different components and services involved when creating an RDS Custom for SQL Server instance. In this post, we demonstrate how to create an RDS Custom for SQL Server instance. We also show how to create the required prerequisites within an existing networking infrastructure. Amazon RDS Custom requires these prerequisites to create the necessary resources in your AWS account.

Today’s modern applications are expected to be scalable and resilient. The top of this list is scalability, which depending on the size of the application workload could mean the ability to handle millions of users on demand. With stateful applications such as eCommerce, Financial Services and Games, this means having highly available databases. With the release of Amazon Aurora in 2015, customers could run relational databases in an Aurora cluster comprising of one writer and up to 15 low-latency reader nodes. This enables applications to scale reads significantly. However, as with any database supporting multiple instances, developers have built complex application logic to deal with special events such as switchover or failover.