Category: Amazon RDS

Amazon Relational Database Service (Amazon RDS) Custom for Oracle is a managed database service for applications that require customization of the underlying operating system and database environment. It provides the benefits of RDS automation with the elevated access needed for legacy, packaged, and custom applications. With Amazon RDS Custom for Oracle, you have the freedom […]

In this post, we walk through an example for creating an active-active replication setup between two RDS for PostgreSQL instances. We also show how to monitor replication lag between instances, and review how to detect and resolve conflicts. Finally, we discuss strategies to design applications to work with pgactive.

In this post, we guide you through the steps to setting up Amazon Aurora PostgreSQL-Compatible Edition database activity streams (DAS) for monitoring in IBM Guardium. Here, we are using IBM Guardium version 11.5. Aurora PostgreSQL-Compatible is a fully managed, PostgreSQL-compatible, ACID-compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with […]

In scenarios such as consolidating or merging multiple departments with separate AWS accounts into a single AWS account, splitting a single account or divisions into multiple AWS accounts for better management, or duplicating an AWS account across Regions, you often need to migrate the database from one AWS account to another with minimal downtime and […]

Migrating a Transparent Data Encryption (TDE)-enabled Amazon Relational Database Service (Amazon RDS) for Oracle database instance from one AWS account to another is a common use case in scenarios when you acquire, sell, or merge operations, or if you’re reorganizing your AWS accounts and organizational structure. TDE is a permanent and persistent option in RDS […]

A common use case for Amazon RDS Custom for SQL Server is to offload the undifferentiated heavy lifting of managing the underlying infrastructure of the cluster when running SQL Server Analysis Services (SSAS). SSAS is an analytical data engine, based on the VertiPaq technology which is used in decision support and business analytics.In this post, we explain how to launch and setup Amazon RDS Custom for SQL Server and enable SSAS to run either Tabular or Multi-Dimensional model modes.

Customers often ask us how they can create an RDS Custom for SQL Server database in their existing networking infrastructure. They want to ensure that the database servers are created within the security perimeter designed by their networking teams. They also want to understand different components and services involved when creating an RDS Custom for SQL Server instance. In this post, we demonstrate how to create an RDS Custom for SQL Server instance. We also show how to create the required prerequisites within an existing networking infrastructure. Amazon RDS Custom requires these prerequisites to create the necessary resources in your AWS account.

In this post, we explain how to migrate the logins, database roles, users, and object-level permissions from on-prem or Amazon Elastic Compute Cloud (Amazon EC2) for SQL Server to Amazon Relational Database Service (Amazon RDS) for SQL Server using the T-SQL.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports X2iedn powered by third-generation Intel Xeon Scalable processors built on the AWS Nitro System and featuring the third-generation Intel Xeon Scalable (Ice Lake) processors. SQL Server workloads are highly dependent on memory. As a result, memory-optimized Amazon Elastic Compute Cloud (Amazon EC2) instances are most commonly used by customers.

In this post, we show you how you can use the RMAN XTTS functionality to migrate from an Oracle database hosted on Amazon Elastic Compute CLoud (Amazon EC2) to Amazon RDS for Oracle. Combined with Amazon Elastic File System (Amazon EFS) integration, XTTS can help reduce the complexity of your migration strategy, reduce the number and copies of data and backups required (as well as associated storage space consumption), and reduce the application downtime associated with completing the migration of your data.