AWS Database Blog
Tag: SQL Server
Store SQL Server backups in Amazon S3 using AWS Storage Gateway
Customers like Alkami and Acadian Asset Management use AWS Storage Gateway to back up their Microsoft SQL Server databases directly to Amazon S3, reducing their on-premises storage footprint and leveraging S3 for durable, scalable, and cost-effective storage. Storage Gateway is a hybrid cloud storage service providing on-premises applications with access to virtually unlimited cloud storage. […]
Upgrade your end-of-support SQL Server instances in VMware Cloud on AWS with ease
If you still have Microsoft SQL Server 2008 and 2008 R2 instances deployed, now is the time to upgrade them. Microsoft end of support (EoS) date for each is almost upon us—July 9, 2019. This means that after that there are no further security updates, which has security and also compliance implications, so don’t wait! Today, I’m excited […]
SQL Server Performance Benchmarking on AWS
With so many instance types to choose from, it can be challenging for architects and customers to choose the best ones to migrate their SQL Server workloads to AWS. Detailed specifications are available for each instance type and storage options, however all of this information may be difficult to map to real-world scenarios. We are […]
Replace SQL Server Agent Job with AWS Step Functions
If you’re migrating from Microsoft SQL Server to Amazon Aurora PostgreSQL, you might have discovered that the SQL agent jobs cannot be easily moved. The job agent tools are not supported for Aurora PostgreSQL. You can overcome this limitation though, by using AWS Step Functions to replace a SQL agent job. In this blog post […]
How New Innovations migrated their residency management platform from Microsoft SQL Server to Amazon Aurora PostgreSQL
New Innovations has built a business around shared ideas and beliefs that all point to a larger purpose—empowering medical educators and administrators to provide quality medical education. Intelligence is advancing to the point where there is no separation between task and technology, and the result is that medical trainees and educators can be relieved of mundane administrative duties. Our partners in medical education work with us so that one day this ideal future becomes a reality.
The future is not far away, and thanks to AWS and Amazon Aurora PostgreSQL, our company has been able to build an infrastructure that scales to meet our customers’ demands. AWS Database Migration Service (AWS DMS) made our transition to Aurora PostgreSQL a seamless experience for both our customers and our software developers, while minimizing the risk. We used AWS DMS to fully migrate 700+ instances of Microsoft SQL Server to Aurora PostgreSQL. In addition, Amazon RDS Performance Insights now gives us excellent visibility into our database layer and allows us to respond quickly to any abnormalities.
How to configure SQL Server 2017 on Amazon Linux 2 and Ubuntu AMIs
When you deploy Microsoft SQL Server on AWS, you have many choices for how to optimize the performance, availability, reliability, and costs of your applications. Amazon offers multiple SQL Server versions, broad compute options, and numerous licensing options to optimize usage and reduce costs. You can choose the pay-as-you-go model and use the AWS license-included […]
Bootstrapping Your Large Production On-Premises SQL Server Databases to Amazon EC2
This blog post explains how to use PowerShell and native Microsoft SQL Server backups to migrate an on-premises SQL Server database to an Amazon EC2 instance. In general, we recommend that where possible you should make every attempt to migrate your on-premises SQL Server databases to Amazon RDS. You can find more details on how […]
Migrating a SQL Server Database to a MySQL-Compatible Database Engine
This post provides an overview of how you can migrate your Microsoft SQL Server database to a MySQL-compatible database engine such as Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL. The following are the two main parts of a database migration: Schema conversion: Converting the schema objects is usually the most […]
Using AWS Database Migration Service and Amazon Athena to Replicate and Run Ad Hoc Queries on a SQL Server Database
Prahlad Rao is a solutions architect at Amazon Web Services. When you replicate a relational database to the cloud, one of the common use cases is to enable additional insights on the replicated data. You can apply the analytics and query-processing capabilities that are available in the AWS Cloud on the replicated data. To replicate […]