Category: Announcements

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.

In this post, we demonstrate how to create custom PostgreSQL data types using TLE. PostgreSQL ships with many robust data types that accommodate most customer workloads in a performant manner. Although PostgreSQL has the capabilities to deploy custom data types natively, introducing new data types at scale in architectures spanning multiple AWS accounts and Regions poses a unique challenge for builders. With Trusted Language Extensions (TLE), you can create and manage your custom data types, allowing the quick and easy deployment of PostgreSQL data types across your infrastructures in a secure and efficient manner.

Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL major versions are supported at least until the community end-of-life for the corresponding community versions. When the community PostgreSQL major version reaches its end of life, no further updates, security patches, or bug fixes are released by the community. Aurora PostgreSQL 11 clusters […]

With the upcoming end-of-life of MySQL Community Version v5.7 in October 2023 (Page 24), Amazon Web Services (AWS) is actively preparing for this important transition. When MySQL 5.7 reaches community end of life, no further updates, bug fixes, or security patches will be released by the community. We understand that Amazon Relational Database Service (Amazon […]

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Aurora Global Database lets you span your relational database across multiple Regions. Global Database is an ideal choice for use cases when you want […]

MariaDB is a popular open-source high performance database. Amazon Relational Database Service (Amazon RDS) for MariaDB supports multiple major engine versions including 10.4, 10.5, 10.6. Today, Amazon RDS has announced support for MariaDB major version 10.11, which is the latest long-term supported major version from the MariaDB community. When compared to previous versions, Amazon RDS for MariaDB […]

Amazon Timestream is a fully managed, scalable, and secure time series database designed for workloads such as infrastructure observability, user behavioral analytics, and Internet of Things (IoT) workloads. It’s built to handle trillions of events per day, and designed to scale horizontally to meet your needs. With features like multi-measure records and scheduled queries, Timestream […]

Over the past two years, public blockchain adoption has been driven by three primary use cases: decentralized finance (DeFi), which provides an open financial system built using smart contracts on public blockchains non-fungible tokens (NFTs) that certify ownership of digital assets and enable broad transferability of those digital assets digital currency payments that enable value […]

In this post, we describe all the features that have been released as part of the recent 1.2.1.0 engine update to Amazon Neptune. Amazon Neptune is a fast, reliable, and fully managed graph database service for building and running applications with highly connected datasets, such as knowledge graphs, fraud graphs, identity graphs, and security graphs. […]