![]() If you’re planning to migrate to Amazon RDS, consider the I/O performance of Amazon RDS DBĭependencies. IOPS – Determine the IOPS and throughput of yourĭatabases. For the latest information, see Amazon RDS DB instance storage in the Request more storage by opening a support ticket with AWS For example, if you’re planning to migrate your SQL Serverĭatabase to Amazon RDS or Amazon RDS Custom, you can create DB instances with up to 16 TiB of storage. The top points you should consider when you plan to migrate:ĭatabase size – Check the current size and overallĬapacity growth of your database. Workloads by understanding the complexity, compatibility, and cost of migration. The first step is to perform an analysis of your application and SQL Server database Your migration strategy by using the framework discussed in Migration strategy for relational Overviewīefore you migrate your SQL Server databases to AWS, you should understand and evaluate This guide is for program or project managers, product owners, database administrators,ĭatabase engineers, and operations or infrastructure managers who are planning to migrate their Shipping, replication, and Always On availability groups. Provides information about how to set up a high availability and disaster recovery solutionīetween an on-premises SQL Server environment and AWS, using native SQL Server features like log Itĭives into the best practices and recommendations for using these migration options. On premises to the AWS Cloud, to Amazon Relational Database Service (Amazon RDS), Amazon Elastic Compute Cloud (Amazon EC2), or VMware Cloud on AWS. This guide describes the options available for migrating SQL Server databases from For more information, see Learn why AWS is the best cloud to run Microsoft Windows Server and SQL Server workloads Recovery, better performance, and ease of management. Running SQL Server on AWS include cost savings, scalability, high availability and disaster ![]() Microsoft SQL Server databases on the reliable and secure AWS Cloud infrastructure. Amazon Web Services (AWS) provides a comprehensive set of services and tools for deploying ![]()
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