Category: RDS for SQL Server

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.

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server allows you to use a custom engine version (CEV) by providing an Amazon Machine Image (AMI), which includes specific customizations and database media installed on it. In this post we provide you guidance and best practices to build, test, and distribute AMIs using an EC2 Image Builder pipeline.

In this post, we show you how to integrate your Amazon Relational Database Service (Amazon RDS) for SQL Server instances with your self-managed Active Directory (AD). Previously, you could only join your RDS for SQL Server instances to an AWS Managed Microsoft AD directory. You were able to connect your on-premises AD via a trust […]

In our previous post, we deployed multi-Region disaster recovery blueprint using Amazon Route 53, Amazon Relational Database Service (Amazon RDS) for SQL Server and Amazon Simple Storage Service (Amazon S3). In this post we walk you through the process of promoting RDS for SQL Server in the AWS secondary Region and performing a cross-Region failover […]

Disaster recovery and high availability planning play a critical role in ensuring the resilience and continuity of business operations. When considering disaster recovery strategies on AWS, there are two primary options: in-Region disaster recovery and cross-Region disaster recovery. The choice between in-Region and cross-Region disaster recovery depends on various factors, including the criticality of the […]

Microsoft SQL Server Integration Service (SSIS) provides a platform for users to create, extract, transform, and load workflows by connecting to various data sources like relational database management services, flat files, XML files, and more. Before loading into the destination system, users can copy, cleanse, and process the data. SSIS allows developers to create extract, […]

Amazon Relational Database Service (Amazon RDS) Custom for Oracle allows you to run Oracle databases on AWS, giving you some of the benefits of Amazon RDS automation and the freedom of changing configurations to match different use cases. You can customize your database, underlying server, and operating system configurations to accommodate the specific needs of […]

Monitoring is an important aspect for any relational database management system (RDBMS). A good monitoring setup gives us better visibility and control of our database setups. Many of our customers use Amazon CloudWatch metrics and Amazon Relational Database Service (Amazon RDS) event notifications to monitor different metrics and events. Amazon RDS event subscription offers instance-level […]

This is the first in a two-part series of posts on how to migrate a multi-TB database to Amazon Relational Database Services (Amazon RDS) Custom for SQL Server. Amazon RDS Custom for SQL Server is a managed database service that automates setup, operation, backups, high availability, and scaling of databases while granting access to the […]