Category: Advanced (300)

In the first two posts of this four-part series, you learned how the choice of zonal or Regional services impacts availability and some important characteristics of Amazon DynamoDB when used in a multi-Region context with global tables. Part 1 also covered the motivation for using multiple AWS Regions. Part 2 discussed some important characteristics of […]

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 […]

Amazon Neptune, a fully managed graph database, is purpose built to work with highly connected data such as relationships between customers and products, or between pieces of equipment within a complex industrial plant. Neptune is designed to support highly concurrent online transaction processing (OLTP) over graph data models. Neptune supports both property graphs, which you […]

Amazon DocumentDB (with MongoDB compatibility) supports geospatial functionality, including 2dsphere specialized indexes and the operators for determining proximity, the $nearSphere query operator, and the $geoNear aggregation pipeline stage. After working backward from our customers’ goals for the features they want most, Amazon DocumentDB now also supports two additional operators that are useful for geospatial inclusion […]

Oracle Real Application Clusters (RAC) are a way of accessing a database from multiple database servers. This provides some added high availability (HA) features over a single-instance database. In this post, we talk about why you might choose Oracle RAC for your Oracle databases, and the different ways to implement similar architecture on AWS while […]