Category: Amazon Aurora

Amazon Aurora Global Database is specifically designed to meet the needs of globally distributed applications. It replicates your data across AWS Regions with no impact on database performance, enables fast local reads with low latency in each Region, and provides disaster recovery from Region-wide outages. Many organizations use Aurora Global Database in a headless configuration. […]

AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate your journey to AWS Databases and Analytics services and achieve cloud adoption benefits such as cost savings and performance improvements. In this post, we share Amazon DMA’s approach to migrate generated columns to PostgreSQL implementations, such as Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible […]

In this post, we compare the high availability (HA) and disaster recovery (DR) features of Amazon Aurora to Oracle, with a focus of the Aurora disk subsystem and how this key innovation allows Amazon Aurora Global Database to deliver performance and availability. Data today is increasingly seen as a corporate asset, and safeguarding this asset is a key focus for many businesses. When that data exists in a database, the vendors of these systems produce methods […]

This post is a continuation of Automate benchmark tests for Amazon Aurora PostgreSQL. To recap, optimizing a database is an important activity for new and existing application workloads. You need to take cost, operations, performance, security, and reliability into consideration. Conducting benchmarks help with these considerations. With Amazon Aurora PostgreSQL-Compatible Edition, you can run multiple […]

While managing databases at scale in AWS, there are certain scenarios where you may need to maintain an Amazon Aurora cluster in a single or multiple AWS accounts. These scenarios include but are not limited to mergers and acquisitions, consolidating all accounts to use only a single account, or compliance to maintain production and development […]

This post is co-authored with Vivek Yadav from Koo. Koo is a global micro-blogging platform that allows users to share their thoughts and opinions in various languages. Launched in March 2020, the app has quickly gained immense popularity, with millions of users joining the platform to share their views and connect with like-minded individuals. In […]

When using Amazon Aurora PostgreSQL-Compatible Edition, managing updates is an ongoing management process for database administrators. Minor version updates are a component of this process—they contain database patches, and bug fixes are a much more common management task to orchestrate. AWS provides mechanisms that assist in applying updates, but you are able to decide when […]

This post is a continuation of Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1. To recap, in 2003, the SQL standard added a new specification called SQL/MED (SQL Management of External Data). In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and PostgreSQL 9.3 added […]

Disaster recovery (DR) ensures that businesses can continue to operate in the event of an unexpected disruption, such as a natural disaster, power outage, or cyberattack. Maintaining resilience is key to operational success for your business, and disaster recovery planning plays a vital role in that. Many regulators across multiple industries are mandating disaster recovery […]

Modifying the schema of a SQL database can be time-consuming, resource-intensive, and error-prone. It can also require long periods of downtime that negatively affects the end-user experience. In this post, I walk you through performing schema changes using Instant DDL and Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments for Amazon Aurora MySQL-Compatible Edition with […]