Category: RDS for PostgreSQL

Amazon RDS Multi-AZ deployments with two readable standbys (Amazon RDS Multi-AZ DB cluster) for PostgreSQL now supports typically 35 seconds or less of write downtime for minor version upgrades and system maintenance updates. By using patches for PgBouncer from AWS, you can further reduce this write downtime to typically one second or less. This greatly […]

Today, we are announcing Amazon RDS Proxy multiplexing support for PostgreSQL Extended Query Protocol. In this post, you learn about PostgreSQL’s Extended Query Protocol for communication between client and server, its benefits, and how multiplexing support for Extended Query Protocol can improve the connection pooling capability of RDS Proxy, which in turn reduces the overhead […]

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, […]

It’s important to understand strategies for how to use pgvector with your Generative AI applications so you can find the optimal configurations. This can include the selection of your database instance family, how you ingest your data, and even the version of pgvector you’re using. We ran a series of tests to see how pgvector […]

In April 2023, AWS announced the ability to power Amazon Relational Database Service (Amazon RDS) instances with the AWS Graviton3 processor. AWS Graviton3 was announced in May 2022 and is built using a custom-designed ARM architecture using ARM Neoverse cores, optimized for delivering high performance and energy efficiency. AWS Graviton3 provides up to 25% better […]

PostgreSQL is one of the most popular open-source relational database systems. The product of 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 complicated data workloads. AWS offers services that make PostgreSQL database deployments straightforward to set up, manage, […]

For workloads that require simpler orchestration of creating a staging environment for extensive testing and achieve maximum availability during a major version upgrade, we’re pleased to announce the general availability of Amazon RDS blue/green deployments for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL for versions 11.21 and higher, 12.16 and higher, 13.12 and higher, 14.9 and higher, and 15.4 and higher in all applicable AWS Regions and AWS GovCloud (US) Regions. In this post, we walk through an example of creating a blue/green deployment. We also show how to perform major version upgrades using blue/green deployment with minimal downtime and describe the switchover process. Finally, we discuss the best practices for using blue/green deployment.

One of the migration patterns that you can use to modernize and migrate mainframe workloads is automated refactoring using Blue Age tooling. This pattern often requires you to unlock mainframe data from on-premises databases (like IBM Db2 for iSeries) in order to be able to move to the cloud and the technical constraints and steps […]