Category: Amazon RDS

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 […]

Monitoring is an important aspect of database management. Database administrators, application teams, and architects want to proactively eradicate performance issues before they affect users or cause an outage. To achieve this, they need the right level of visibility into database health indicators. Amazon Relational Database Service (Amazon RDS) provides monitoring tools, such as Enhanced Monitoring […]

When thinking about modernizing an Oracle Database to an open-source database on AWS, options include Amazon Relational Database Service (Amazon RDS) for MySQL, Amazon RDS for MariaDB, Amazon RDS for PostgreSQL, or Amazon Aurora. The choice of target database is usually dependent on three major factors: Database conversion or refactoring efforts The enterprise-wide decision on […]

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, […]

Amazon Relational Database Service (Amazon RDS) uses Amazon Elastic Block Store (Amazon EBS) as an underlying storage. RDS snapshots (automated and manual) are saved in Amazon Simple Storage Service (Amazon S3). For RDS instances that are restored from snapshots, the instances are made available as soon as the needed infrastructure is provisioned. However, there is […]

The administrative task scheduler (ATS) in Db2 LUW is a component that allows you to automate and schedule administrative tasks within the database. It provides a convenient way to schedule recurring tasks, such as backups, maintenance activities, data imports, exports, and other administrative operations. Some key features and capabilities of the DB2 LUW ATS include: […]

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 […]