Category: Amazon RDS

Customer databases are constantly growing. When you increase storage for a database in Amazon Relational Database Service (Amazon RDS), you can’t make further storage modifications for either 6 hours or until storage optimization has completed on the instance, whichever is longer. Amazon RDS storage autoscaling increases storage by 10 GiB, 10% of currently allocated storage, […]

Customers often face the challenge of optimizing the cost of their database environments, while having to improve their application performance and response times, as both their data volumes and user base grow. Internet-scale applications that have large volumes of data and high volumes of throughput need underlying data architectures that can support microsecond latencies. Improving […]

Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it straightforward to set up, operate, and scale Oracle deployments in the cloud. In this post, we share the story of a database migration for a business-critical application from a vital database instance running inside Oracle SuperCluster to Amazon […]

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 […]

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 […]