Category: Database

For manufacturers it’s important to track transformations and transfers of products as they travel through the supply chain. In the event of quality issues, the ability to quickly and accurately identify a defective product and gather data for root cause analysis and containment is critical. NXP Semiconductors has been working to improve its product traceability […]

Common language runtime (CLR) integration is an option to host .NET code within SQL Server programmatic objects like stored procedures, functions, and triggers, and adding user-defined data types. Since its introduction in SQL Server 2005, CLR integration has gained popularity within the SQL Server community for its additional flexibility and options to import .NET code […]

In the first three 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 Regions. Part 2 discussed some important characteristics of DynamoDB. […]

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 […]

In the first post of this series, you learned about the differences between zonal, Regional, and global services, and how they affect theoretical application availability. In this post, you’ll learn more about some important Amazon DynamoDB characteristics and how they impact multi-Region design. Properties of DynamoDB tables in a single Region DynamoDB is a NoSQL […]

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 […]