Tag: DMS

This post contains some outdated information. For a newer version, visit the updated post: Enable large-scale database migrations with AWS DMS and AWS Snowball.   More than 40,000 databases have been migrated to AWS using AWS Database Migration Service (AWS DMS), either as a one-time migration or with ongoing replication. AWS Database Migration Service (AWS […]

We always treat database migration projects as a development exercise. Each project should have proper planning (that is, design), execution, and of course testing. Each step involves developer collaboration. Developers also just like to collaborate on tools, methodologies, and a nice piece of code. We want to facilitate developer collaboration for migration projects, to bring more tools and methods to the community to allow better, smoother, and faster migrations. As part of this effort, we recently launched two GitHub repositories, for AWS DMS samples and AWS DMS tools.

In our previous post, we covered the initial steps to debug AWS Database Migration Service (DMS) migrations for environmental issues. In this post, we continue the debugging process, discussing problems with migration tasks that aren’t in the list preceding and that aren’t due to environmental issues. We review CloudWatch graphs and task and table states to shed light on DMS migrations.

This post walks you through a troubleshooting flow chart to help you understand what could go wrong with migrations using AWS DMS, and it discusses best practices for debugging your AWS DMS migrations. This process involves creating the required AWS DMS components—like the replication instance, source and target endpoints, and the replication task to migrate data from the source endpoint to the target endpoint.

This blog post gives you a quick overview of how you can schedule migration tasks for the purpose of automating your migration. You create these tasks by using the AWS Database Migration Service (AWS DMS) and using native operating system tools for either Linux or Microsoft Windows.

We are excited to announce the addition of two new database connectors in AWS Database Migration Service (AWS DMS)—Amazon S3 as a source and Microsoft Azure SQL Database as a source. You can now migrate data from these two new sources to all AWS DMS supported targets. Amazon S3 as a source You can now […]

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. […]

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 […]

With digital data growing at an incomprehensible rate, enterprises are finding it difficult to ingest, store, and analyze the data quickly while keeping costs low. Traditional data warehouse systems need constant upgrades in terms of compute and storage to meet these challenges. In this post, we provide insights into how AWS Premier Partner Wipro helped […]

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 […]