AWS Database Blog

How to use Amazon Aurora to drive 3x latency improvement for end users

Born on AWS InfoScout was born on AWS, being along for the journey since its inception in 2011. It all started with a single Amazon EC2 instance to collect receipts uploaded from friends and family. Seven years later, we now manage 150+ AWS instances to support our mobile applications, data pipelines, machine learning models, and […]

How to perform ordered data replication between applications by using Amazon DynamoDB Streams

AWS customers use Amazon DynamoDB to store mission-critical data. These customers’ applications make millions of requests per second to individual DynamoDB tables that contain hundreds of terabytes of items. They count on DynamoDB to return results in single-digit milliseconds. In many cases, these applications have requirements to notify other systems and users about specific transactions, […]

How Autodesk Increased Database Scalability and Reduced Replication Lag with Amazon Aurora

Autodesk is a leader in 3D design, engineering, and entertainment software. Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with their software. Autodesk has successfully […]

How to plan and optimize Amazon Aurora with MySQL compatibility for consolidated workloads

Amazon Aurora with MySQL compatibility is a popular choice for customers looking to consolidate database workloads. Aurora MySQL is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. It also delivers up to five times the throughput of the standard MySQL community […]

Stream changes from Amazon RDS for PostgreSQL using Amazon Kinesis Data Streams and AWS Lambda

In this post, I discuss how to integrate a central Amazon Relational Database Service (Amazon RDS) for PostgreSQL database with other systems by streaming its modifications into Amazon Kinesis Data Streams. An earlier post, Streaming Changes in a Database with Amazon Kinesis, described how to integrate a central RDS for MySQL database with other systems […]

Best practices for migrating RDS for MySQL databases to Amazon Aurora

MySQL is the most popular open-source database in the world. However, many customers find that the undifferentiated heavy lifting of backups, high availability, and scaling of MySQL databases to be complex, time-consuming, or both. This is one of the leading reasons why customers move their existing MySQL footprint to Amazon RDS for MySQL. Amazon RDS […]

AWS Schema Conversion Tool introduces new features in build 616

We are excited to introduce a new version of AWS Schema Conversion Tool (AWS SCT) that includes support for PostgreSQL 10 partitioning, a new server-level Assessment Report, support for table-valued functions, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine […]

Failover with Amazon Aurora PostgreSQL

Replication, failover, resilience, disaster recovery, and backups—it can be challenging to achieve any or all of these in a traditional or non-cloud-based architecture. In addition, they sometimes require a considerable re-engineering effort. Due to the high implementation and infrastructure costs that are involved, some businesses are compelled to tier their applications so that only the […]

Get started with Amazon Elasticsearch Service: T-shirt-size your domain

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future blog posts, we provide the basic information that you need to get started with Elasticsearch on AWS. Introduction When you’re spinning up your […]