AWS Database Blog

Category: AWS Database Migration Service

Automating database migration and refreshing activities with AWS DMS

Application developers and system administrators replicate data across datastores to migrate, refresh, and mask data. For most organizations, data replication is a complex, multiphase process, including assessment, schema conversion, script conversion, data migration, functional testing, performance tuning, and other tasks. Multiple tools are available to support data replication. AWS Database Migration Service (DMS) helps you quickly […]

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Python code to download DMS Task Logs using the AWS DMS Task ID

With AWS Database Migration Service (AWS DMS), you can migrate databases to AWS quickly and securely. In this post, we walk through the sample Python code required to download AWS DMS task logs on to your local computer using the AWS DMS task ID. Overview The DMS task logs contain task information logged during the […]

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How to Scale AWS Database Migration Service (DMS) replication instances 

AWS Database Migration Service (DMS) helps you migrate databases to AWS quickly and securely. The AWS DMS migration process encompasses setting up a replication instance, source and target endpoints, and replication tasks. Your replication instance uses resources like CPU, memory, storage, and I/O, which may get constrained depending on the size of your instance and the […]

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Create AWS CloudFormation templates for AWS DMS tasks using Microsoft Excel

This blog post talks about a tool that automates creation of AWS CloudFormation templates for AWS Database Migration Service (AWS DMS) tasks. If you are looking for how to create CloudFormation templates for your DMS tasks and don’t have knowledge of CloudFormation, read on. Many times during database migration activities where AWS DMS is involved, […]

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Another Database Migration Playbook goes live—migrate from Microsoft SQL Server to Amazon Aurora MySQL!

We’re excited to present the first edition of the Microsoft SQL Server to Amazon Aurora MySQL Compatibility Migration Playbook. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) help you reduce the effort associated with migration from commercial engines to open-source and Amazon-managed databases. Thus, they help reduce cost and avoid […]

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Oracle Database zero downtime migration with AWS Database Migration Service and Accelario

Accelario is database migration software that provides a fast and easy way to load an Oracle database to Amazon Web Services (AWS). At the end of the initial load, database synchronization starts immediately using AWS Database Migration Service (AWS DMS), and the result is a zero downtime migration of your database.

Businesses that require 24/7 operation face a significant issue when moving databases into the cloud: Up until now, few if any cost-effective options existed to minimize the resulting downtime. With its recent integration with AWS DMS, Accelario provides a ready-to-use, zero downtime, full database migration solution—meaning that the whole database is migrated, including users, procedures, views, etc. When the process is done, you can access your database and start using it with your application immediately.

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Use the AWS Database Migration Service to Stream Change Data to Amazon Kinesis Data Streams

In this post, we discuss how you can use AWS Database Migration Service (AWS DMS) to stream change data into Amazon Kinesis Data Streams. An earlier post, Load CDC Data, discussed real-time data processing architecture. As part of that, it covered how to capture changes in an Amazon RDS for Microsoft SQL Server database using AWS […]

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Introducing Amazon Elasticsearch Service as a target in AWS Database Migration Service

We’re excited to announce the addition of a new target in AWS Database Migration Service (AWS DMS)—Amazon Elasticsearch Service. You can now migrate data to Amazon Elasticsearch Service from all AWS DMS–supported sources. With support for this new target, you can use DMS in your data integration pipelines to replicate data in near-real time into […]

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