AWS Database Blog
Category: Amazon Aurora
Performance impact of idle PostgreSQL connections
July 2023: This post was reviewed for accuracy. The first post of this series, Resources consumed by idle PostgreSQL connections, talked about how PostgreSQL manages connections and how even idle connections consume memory and CPU. In this post, I discuss how idle connections impact PostgreSQL performance. Transaction rate impact When PostgreSQL needs data, it first […]
Resources consumed by idle PostgreSQL connections
July 2023: This post was reviewed for accuracy. PostgreSQL is one of the most popular open-source relational database systems. With more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complex data workloads. AWS provides two managed PostgreSQL options: Amazon […]
Ensuring consistent performance after major version upgrades with Amazon Aurora PostgreSQL Query Plan Management
Keeping your database version up to date provides benefits like improved performance and security, access to new features, fixes to known issues, compliance with regulatory requirements, and more. However, there is also a risk of some queries experiencing performance regression following a database upgrade. This risk is higher with major version upgrades because they can […]
Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1
PostgreSQL is one of the most widely used database engines and is supported by a very large and active community. It’s a viable open-source option to use compared to many commercial databases, which require heavy license costs. Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition are AWS managed offerings that […]
Creating an Amazon CloudWatch dashboard to monitor Amazon RDS and Amazon Aurora MySQL
July 2023: This post was reviewed for accuracy. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. A highly performant database is key to delivering latency SLAs, so monitoring is critical. Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, […]
Best practices for working with Amazon Aurora Serverless v1
Important AWS has announced the end-of-life date for Aurora Serverless v1: March 31st, 2025. We strongly recommend upgrading any Aurora Serverless v1 DB clusters to Aurora Serverless v2 before that date. The upgrade can involve a change in the major version number of the database engine. Thus, it’s important to plan, test, and implement this […]
Explore what’s in store for Amazon RDS at re:Invent 2020
Join us at re:Invent 2020, a free 3-week virtual conference, from November 30 to December 18. This year’s virtual conference is going to be the industry event of the year, offering five keynotes, 18 leadership sessions, and unlimited access to hundreds of sessions, including 10 sessions on Amazon Relational Database Service (Amazon RDS). In this […]
Exploring frequently asked questions with AWS Database Solutions Architects
July 2023: This post was reviewed for accuracy. At Amazon, we listen to our customers and work backward from your needs. Our AWS Database Specialist Solutions Architect team helps you architect your database landscape. In this post, we address 11 frequently asked questions with videos from our Database Specialist Solutions Architects. Let’s begin the learning […]
Best practices for migrating Oracle database MERGE statements to Amazon Aurora PostgreSQL and Amazon RDS PostgreSQL
To migrate an Oracle database to Amazon Aurora with PostgreSQL compatibility, you usually need to perform both automated and manual tasks. The automated tasks involve schema conversion using AWS Schema Conversion Tool (AWS SCT) and data migration using AWS Database Migration Service (AWS DMS). The manual tasks involve post-AWS SCT migration touch-ups for certain database […]
Performing major version upgrades for Amazon Aurora MySQL with minimum downtime
This post shows how you can perform a major upgrade for Aurora MySQL with minimal downtime using a blue-green deployment. This is useful for database administrators or DevOps team members responsible for the Aurora MySQL upgrades.









