Category: Amazon Aurora

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 […]

In OLTP databases, the buffer cache is memory allocated for storing cached data and dirty pages. Cached data speeds up the retrieval of frequently accessed information, and reading from these cached pages minimizes disk I/O operations. Setting appropriate values for shared_buffers is important for optimal PostgreSQL performance and can lead to significant reductions in overall […]

In today’s data-driven world, JSON (JavaScript Object Notation) has emerged as a popular format for exchanging and storing data due to its simplicity and flexibility. As a result, database systems have evolved to include native support for JSON data types, enabling developers to work with JSON seamlessly within their applications. Oracle’s PL/JSON, an open-source package, […]