Category: Database

We recently released On-Demand Backup for Amazon DynamoDB. Using On-Demand Backup, you can create full backups of your DynamoDB tables, helping you meet your corporate and governmental regulatory requirements for data archiving. Now you can back up any table from a few megabytes to hundreds of terabytes of data in size, with the same performance […]

When designing high-performance database systems like Amazon Aurora, you typically want to work on things that deliver the most impact for the broadest set of workloads. But sometimes, it pays to focus on specialized use cases where you have the opportunity to change the game. In this post, let’s take a look at how Aurora […]

Many AWS customers run mission-critical workloads using the IBM Db2 database platform. Typically, these workloads require a highly available configuration to make sure that the database is available in the event of a node or site failure. The traditional IBM method to achieve high availability is to use shared storage and virtual IP addresses, which […]

Increasingly, customers are looking to move databases from proprietary engines such as Oracle and Microsoft SQL Server to open source engines running on AWS. One of the preferred destinations for this data is Amazon Aurora. In this post, we walk through a migration of a Microsoft Azure SQL database to an Amazon Aurora MySQL cluster […]

NEW! Amazon Aurora with MySQL compatibility now supports publishing of all logs to CloudWatch Logs using the process described below. Amazon RDS has long offered customers the ability to view and download logs associated with their DB instances for troubleshooting purposes. Now, with Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon RDS for […]

This post describes the performance aspects of migrating data to Amazon DynamoDB using AWS DMS, minimizing downtime, and converting the data that is more suitable for DynamoDB using either map to record or map to document types.

Using AWS Database Migration Service (AWS DMS), you can migrate data from various sources to most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to Oracle. It also supports heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. In addition, […]

One key feature of Amazon RDS is that you can easily upgrade a database instance to a new minor or major version of your database engine. You can perform upgrades on demand by using the AWS Management Console or AWS CLI. You can decide to automatically upgrade to a new minor engine version when it […]

We first released AWS Quick Start for Magento, a very popular open-source content management system, in September 2015. Since its initial launch, the Quick Start has consistently been among the top 10 Quick Starts that are most popular with our customers. In October 2017, we released an update to the AWS Quick Start for Magento […]

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations more predictable by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. To help with migration of on-premises data warehouses to Amazon Redshift, the new version of AWS SCT adds the following important […]