Category: Advanced (300)

Efficient storage management is crucial for maintaining the performance, reliability, and cost-effectiveness of your Oracle databases running on Amazon RDS. As your data grows and your workloads evolve, it’s essential to proactively monitor and optimize your storage utilization. In this post, we explore various techniques and best practices for effectively managing storage in RDS for Oracle Databases.

In this post we show you how to build production-ready AI agents with durable state management using Amazon DynamoDB and LangGraph with the new DynamoDBSaver connector, a LangGraph checkpoint library maintained by AWS for Amazon DynamoDB.

In this post, we show you how to use additional storage volumes to expand your RDS for Oracle storage capacity beyond 64 TiB. In addition, we walk through use cases for additional storage volume and best practices while working with additional volumes.

In this post, we explain how to set up key components of Oracle Database@AWS offering including ODB network, Oracle Exadata infrastructure, Exadata VM clusters and Autonomous VM clusters using AWS CloudFormation template.

In this post, we show how you can enhance your Java application with the cloud-based capabilities of Amazon Aurora by using the JDBC Wrapper. Simple code changes shared in this post can transform a standard JDBC application to use fast failover, read/write splitting, IAM authentication, AWS Secrets Manager integration, and federated authentication.

Applications using Aurora DSQL multi-Region clusters should implement a DNS-based routing solution (such as Amazon Route 53) to automatically redirect traffic between AWS Regions. In this post, we show you automated solution for redirecting database traffic to alternate regional endpoints without requiring manual configuration changes, particularly in mixed data store environments.

Correlated subqueries can cause performance challenges in Amazon Aurora PostgreSQL which can cause applications to experience reduced performance as data volumes grow. In this post, we explore the advanced optimization configurations available in Aurora PostgreSQL that can transform these performance challenges into efficient operations without requiring you to modify a single line of SQL code.

In this post, we demonstrate how your workloads can benefit from upgrading Graviton2-based R6g and R6gd instances to Graviton4-based R8gd instances with Aurora PostgreSQL 17.5 on Aurora I/O-Optimized using an Optimized Reads-enabled tiered cache.

Regeneron, a leading biotechnology company, effectively harnesses traditional on-premises solutions with a sophisticated database architecture to bolster essential commercial-off-the-shelf (COTS) and GxP business applications. In this post, we highlight why Regeneron chose to use Amazon RDS Custom for Oracle to deploy COTS and GxP applications on AWS. This decision underscores their commitment to advancing from a legacy architecture to a robust, scalable, and resilient managed service. By doing so, Regeneron not only enhances their backend database infrastructure but also ensures adherence to GxP procedures, demonstrating their dedication to operational excellence and regulatory compliance.

This is a guest blog by Arthur Bigeard, Founder at gdotv, in partnership with Charles Ivie, Sr Graph Architect at AWS. G.V() is a graph database IDE available for Desktop or on AWS Marketplace, offering extensive graph visualization and querying capabilities for Amazon Neptune and Neptune Analytics. In Part 1 of this series, we demonstrated […]