AWS Database Blog

Category: RDS for SQL Server

How to use IAM multifactor authentication with Amazon RDS

A common request that we get from customers is how to protect their resources from an accidental or malicious deletion, such as instances, snapshots, clusters, and so on. Doing this is especially important when you are using a common AWS account for multiple users or teams. Although you want the flexibility to innovate within the […]

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How to migrate to Amazon RDS for SQL Server using transactional replication

You can migrate your databases into Amazon RDS for Microsoft SQL Server in multiple ways. Typically, you perform a simple backup and restore of the databases (along with scripting system objects such as logins). If you want a higher availability or lower downtime option, you might use the AWS Database Migration Service (AWS DMS). In […]

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Database Migration

Introducing Ongoing Replication from Amazon RDS for SQL Server Using AWS Database Migration Service

We are excited to announce a new feature in AWS Database Migration Service (AWS DMS) and Amazon RDS for SQL Server that supports ongoing replication from Amazon RDS for SQL Server sources. AWS DMS helps you migrate databases to AWS quickly and more securely. It also helps you migrate data within AWS. You can migrate […]

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Client-Side Encryption and Decryption of Microsoft SQL Server Backups for Use with Amazon RDS

This blog post walks you through how to securely encrypt a Microsoft SQL Server backup file and restore the encrypted backup to an Amazon RDS for SQL Server instance. You perform this process using Amazon Simple Storage Service (Amazon S3) and AWS Key Management Service (AWS KMS). This post details the encryption and steps required […]

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Amazon RDS Under the Hood: Multi-AZ

Amazon Web Services (AWS) customers bet their businesses on their data store and highly available access to it. For these customers, Multi-AZ configurations provide an easy-to-use solution for high availability (HA). When you enable Multi-AZ, Amazon Relational Database Service (Amazon RDS) maintains a redundant and consistent standby copy of your data. If you encounter problems […]

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Part 2 – Role of the DBA When Moving to Amazon RDS: Automation

In Part 1 of this blog series, I talked about how Amazon Relational Database Service (Amazon RDS) can help change the focus of your role as a database administrator (DBA) from routine, time-consuming tasks to project work that helps the business move faster. In this post, I discuss how you can push that advantage one step further and use AWS tools to do more through automation. An important aspect of being an effective DBA when your business is running at top speed is using code and automation whenever you can. AWS provides tools for you to make this easier.

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Part 1 – Role of the DBA When Moving to Amazon RDS: Responsibilities

This blog post is the first in a two-part series. In this first post, we discuss how moving to Amazon Relational Database Service (Amazon RDS) can change your role as a traditional DBA and bring more value to you, the business, key projects, and end users. In the next post, we will discuss how to use other AWS products to automate any remaining regular tasks in Amazon RDS.

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Replicating Amazon EC2 or On-Premises SQL Server to Amazon RDS for SQL Server

Amazon RDS for SQL Server is a managed Microsoft SQL Server database service that makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Amazon RDS takes away the time-consuming database administration activities so that you can focus on your schema design, query construction, query optimization, and building your application. […]

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Implementing DB Instance Stop and Start in Amazon RDS

This post is from Matt Merriel at AWS partner Kloud, and Marc Teichtahl, manager for AWS Partner Solutions Architecture Australia and New Zealand. Kloud uses the new stop and start capabilities in Amazon RDS to lower costs for customers who don’t require 24×7 access to their databases during the testing and development phases of their […]

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Understanding Burst vs. Baseline Performance with Amazon RDS and GP2

When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As you can imagine, latency and IOPS are closely related and […]

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