AWS Database Blog

Customers that need to build resilient applications with the lowest possible recovery time objective (RTO) and recovery point objective (RPO) want to make the best use of AWS global infrastructure to support their resilience goals. Building an application using multiple Availability Zones in a single AWS Region can provide high levels of availability, but you […]

Businesses today want to enhance the data stored in their relational databases and incorporate up-to-the-minute predictions from machine learning (ML) models. However, most ML processing is done offline in separate systems, resulting in delays in receiving ML inferences for use in applications. AWS wants to make it efficient to incorporate real-time model inferences in your […]

In this post, we demonstrate how you can use AWS CloudFormation, open-source Apache JMeter, and Python to generate a performance testing framework for Amazon Aurora PostgreSQL-Compatible Edition databases. This performance testing model can help you run multiple iterations of load testing on Aurora PostgreSQL and make data-driven decisions regarding the database version, configuration, and instance […]

AWS recently added Google Cloud for MySQL as a source to AWS Data Migration Service (AWS DMS) for MySQL 8.0 and newer. In this post, we demonstrate how you can migrate from Google Cloud for MySQL to Amazon Aurora MySQL-Compatible Edition in an automated way and minimize downtime using AWS DMS. As of this writing, […]

July 2023: This post was reviewed for accuracy. Many of our customers use Amazon Relational Database Service (Amazon RDS) for SQL Server for their large mission-critical SQL Server databases. Customers have asked for the optimal solution to safeguard their large databases on Amazon RDS for SQL Server to help them meet their requirements for Recovery […]

Migrating from Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL may be challenging if the application is using the DBMS_XMLDOM package to access XML type objects. This is because the DBMS_XMLDOM package isn’t supported in Aurora PostgreSQL or Amazon RDS for PostgreSQL. Moreover, converting procedures to Aurora PostgreSQL […]

Applications utilizing SQL Server can take advantage of integration with Active Directory (AD) and use Windows Authentication. This allows database access to be controlled at the domain level and can simplify account administration. Amazon Relational Database Service (Amazon RDS) for SQL Server supports using AWS Directory Service for Microsoft Active Directory for Windows Authentication, and […]

As you migrate Oracle workloads to AWS, you may want to implement Oracle Enterprise Manager (OEM) Cloud Control, Oracle’s management platform, which provides a single pane of glass for managing Oracle environments. In this post, we provide the architecture and process to implement OEM 13.5 with high availability (HA) with an Amazon Relational Database Service […]

From January through September of 2022, Amazon Web Services (AWS) customers visited the following five Amazon DynamoDB blog posts more than all others. Use this list (starting with most visited) to see what other customers have been reading and decide what to learn next. Amazon DynamoDB can now import Amazon S3 data into a new […]

Today’s online games generate more data than ever and have request rates that reach millions per second. For these data-intensive games, it’s important for developers to select a database that delivers consistent low latency at any scale and has throughput elasticity to accommodate spikes in traffic without costly overprovisioning during low activity periods. This is […]