AWS Database Blog
Category: Amazon Route 53
Load balancing strategies for Amazon RDS for SQL Server read replicas to scale read workloads and reduce latency
Amazon Relational Database Service (Amazon RDS) for SQL Server makes it straightforward to set up, operate, and scale SQL Server deployments in the AWS Cloud. The service allows DBAs to focus on high-value tasks such as query optimization, query construction, and schema design rather than time-consuming database administration tasks including provisioning, backups, software patching, monitoring, […]
Deploy multi-Region Amazon RDS for SQL Server using cross-Region read replicas with a disaster recovery blueprint – Part 2
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 […]
Deploy multi-Region Amazon RDS for SQL Server using cross-Region read replicas with a disaster recovery blueprint – Part 1
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 […]
Deploy multi-Region Amazon Aurora applications with a failover blueprint
Certain organizations require multi-Region redundancy for their workloads to achieve disaster recovery and business continuity. Disaster recovery is an important part of resiliency strategy and concerns how a workload responds when a disaster strikes. The most common pattern to have as a disaster recovery solution in AWS is to build a multi-Region application architecture including […]