Category: Amazon Aurora

Over the past 15 years, cloud-managed databases have evolved to allow you to take advantage of the cloud’s agility, scalability, and flexibility in architecture. Open source databases have accelerated this transformation as an essential part of a cost-effective, modern data strategy. Amazon’s journey with managed open source databases started in 2009 with the launch of […]

Customers often ask how they can improve visibility and monitorability of workload performance, as well as scheduled and unscheduled events, on Amazon Relational Database Service (Amazon RDS) and Amazon Aurora databases. This post provides insight into how to proactively enable and set the instrumentation so all details are captured and available for analysis. In my […]

In this post, we show how you can encrypt an Amazon Aurora MySQL-Compatible Edition database from an existing unencrypted cluster using AWS Database Migration Service (AWS DMS) with minimal downtime. Amazon Aurora encrypted DB clusters provide an additional layer of data protection by securing your data from unauthorized access to the underlying storage. You can […]

Many organizations are often seeking to migrate from their commercial relational databases, such as Oracle, to open-source databases like PostgreSQL. When migrating from Oracle to PostgreSQL databases, the most time-consuming and complex part is converting database structures, code, and storage objects such as packages, procedures, functions, and triggers. Converting or modernizing from Oracle to Amazon […]

Applications often use an array of data to represent a business object containing multiple values. Many customers choose Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition to store their array of business data. There are several architectures available for saving array values to a PostgreSQL database. You need to consider […]

Automated tools and services greatly reduce the costs and risks of migrating on-premises databases or data warehouses to the AWS cloud. The AWS Database Migration Service (AWS DMS) supports over a dozen database systems as sources or targets. If DMS supports your source and target databases, we recommend using AWS DMS for your migration. There […]

Amazon Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is a global scale relational database service built for the cloud with drop-in MySQL and PostgreSQL compatibility. Amazon Aurora Global Database lets you span your Aurora database across multiple AWS Regions. This helps you recover from […]

In this post, we demonstrate how to modify the Amazon Aurora reader auto scaling configuration on a schedule using AWS Application Auto Scaling, on top of the existing auto scaling policies. When your application grows, the load on your database will most likely grow as your application saves larger amounts of data. Whether it’s the […]

Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. We are excited to announce the launch of the Optimized Reads feature for Aurora PostgreSQL. Aurora Optimized Reads delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance. This new price-performance feature is available on AWS Graviton-based db.r6gd and Intel-based db.r6id instances that support non-volatile memory express (NVMe) storage.

When you migrate from Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL, you may need to deal with partitioned tables and ensure global uniqueness across partitions. Oracle Database supports global indexes. A global index contains keys from multiple table partitions in a single index partition. Each table partition […]