Category: RDS for SQL Server

This post is part three of a series, and shows the steps to modernize a legacy SQL Server database to Amazon Aurora PostgreSQL-Compatible Edition using Babelfish. Babelfish is a capability of Amazon Aurora that allows it to understand the SQL Server dialect. In Part 1, we walked you through a step-by-step approach to re-architect a […]

Customers have asked for the right solution to safeguard their data on Amazon Relational Database Service (Amazon RDS) for SQL Server and meet their current Recovery Point Objective (RPO), the maximum acceptable amount of time since the last backup and Recovery Time Objective (RTO), the maximum acceptable delay between the interruption of service and restoration […]

A common use case for Enterprise workloads is to have a reliable and effective disaster recovery (DR) strategy that keeps your database applications in operation with little or no disruption even if an entire Region is unavailable. Amazon Relational Database Service (Amazon RDS) for SQL Server is a fully managed database that makes it easy […]

For many organizations, performance is a key priority for databases that need to handle a high load. Amazon Relational Database Service (Amazon RDS) is a managed service with a cost-efficient, reliable, and highly scalable database offering which makes it a suitable use case for such requirements. In this post, I walk you through benchmarking Amazon […]

In our last series of posts (Part 1, Part 2, Part 3, and Part 4) , we discussed disaster recovery (DR) terminology and compared the DR solutions available for SQL Server on Amazon Elastic Compute Cloud (Amazon EC2). In this series, we continue to cover the DR solutions available for Amazon Relational Database Service (Amazon RDS) […]

The initial challenge that database administrators (DBA) encounter when planning disaster recovery (DR) for SQL Server is choosing from the many options available. The challenge does not stop there as DBAs must implement the selected technology and ensure that best practices are applied. Amazon Relational Database Service (Amazon RDS) is a managed service that makes […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks, such as hardware provisioning, database setup, patching, and backups. It frees you to focus on your applications, so you can give them the […]

If you have large mission-critical workloads running on an on-premises Microsoft SQL Server database, you may be looking for ways to migrate to AWS with minimal to near-zero downtime. In this post, we show you a solution for migrating your on-premises SQL Server database to Amazon Relational Database (Amazon RDS) for SQL Server using the […]

Amazon Relational Database Service (Amazon RDS) for SQL Server makes it easy to set up, operate, and scale SQL Server deployments in the cloud. As a fully managed database service, Amazon RDS for SQL Server takes automated backups of your DB instance during the backup window. If required, you can restore your DB instance to […]

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports managed disaster recovery (DR) using Amazon RDS cross-Region automated backups. This feature extends the existing Amazon RDS backup functionality, giving you the ability to set up automatic replication of system snapshots and transaction logs from a primary AWS Region to a secondary Region. The […]