AWS Database Blog
Building resiliency at scale at Tinder with Amazon ElastiCache
This is a guest post from William Youngs, Software Engineer, Daniel Alkalai, Senior Software Engineer, and Jun-young Kwak, Senior Engineering Manager with Tinder. Tinder was introduced on a college campus in 2012 and is the world’s most popular app for meeting new people. It has been downloaded more than 340 million times and is available […]
Building enterprise applications using Amazon DynamoDB, AWS Lambda, and Go
Amazon DynamoDB is a fully managed service that delivers single-digit millisecond performance at any scale. It is fully managed, highly available through behind-the-scene Multi-AZ data replication, supports native write-through caching with Amazon DynamoDB Accelerator (DAX) as well as multiple global secondary indexes. Developers can interact with DynamoDB using the AWS SDK in a rich set […]
Introduction to Aurora PostgreSQL cluster cache management
Amazon Aurora is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The PostgreSQL-compatible edition of Aurora delivers up to three times the throughput of standard PostgreSQL running on the same hardware. This enables existing PostgreSQL applications and tools to run […]
Migration tips for developers converting Oracle and SQL Server code to PostgreSQL
PostgreSQL is one of the most popular open-source relational database systems. It is considered to be one of the top database choices when customers migrate from commercial databases such as Oracle and Microsoft SQL Server. AWS provides two managed PostgreSQL options: Amazon RDS and Amazon Aurora. In addition to providing managed PostgreSQL services, AWS also […]
Disaster recovery on Amazon RDS for Oracle using AWS DMS
AWS Database Migration Service (AWS DMS) helps you migrate data from databases on-premises to Amazon Relational Database Service (RDS). You can also use it to migrate data between heterogeneous or homogeneous database engines, among other things. Businesses of all sizes use AWS to enable faster disaster recovery (DR) of their critical IT systems without having […]
Make a New Year’s resolution: Follow Amazon DynamoDB best practices
As the new year begins, we encourage you to make a resolution to follow Amazon DynamoDB best practices. Following these best practices can help you maximize performance and minimize throughput costs when working with DynamoDB. Click the following links to learn more about each best practice in the DynamoDB documentation. Design and use partition keys […]
Amazon Managed Blockchain recorded sessions and workshops from AWS re:Invent 2019
AWS re:Invent is always an exciting time to engage with our customers to learn more about their use cases, receive feedback for our services, and share information about our new features and capabilities. The Amazon Managed Blockchain team delivered several sessions and workshops, highlighting how customers are leveraging blockchain technology and diving deep into building […]
2019: The year in review for Amazon DocumentDB (with MongoDB compatibility)
We started 2019 by launching Amazon DocumentDB (with MongoDB compatibility) on January 9, 2019. Since Day 1, we have been humbled by the feedback that we have received from you. We spent our time in 2019 working backward from the capabilities that you want us to add to the service while continuing to improve the […]
The top 20 most-viewed Amazon DynamoDB documentation pages in 2019
The following 20 pages were the most viewed Amazon DynamoDB documentation pages in 2019. I have included a brief description with each link to explain what each page covers. Use this list to see what other AWS customers have been viewing and perhaps to pique your own interest in a topic you’ve been meaning to explore. […]
Best practices for upgrading Amazon RDS to major and minor versions of PostgreSQL
This post was last reviewed and update June, 2022 to update the upgrade steps for Amazon RDS. Open-source PostgreSQL occasionally releases new minor and major versions that include fixes for frequently encountered bugs, security issues, and data corruption problems. Generally, Amazon RDS aims to support new engine versions within five months of their availability. You […]







