Cookies on this site

We would like to use cookies to understand how the site is used and to measure our campaigns. Nothing is set until you choose, and you can change your mind at any time from “Cookie settings” at the foot of every page. Privacy policy

Contact UsContact Us

Resources / Blogs

Cloud & apps

How do you set up replication for AWS Database Migration Service

In this blog we will explain you in brief about how you can set up replication for AWS DMS. If you have any further questions or you want any sort of information about AWS DMS, contact our team of experts at Princeton IT Services.

· · 2 min read

How do you set up replication for AWS Database Migration Service

The AWS Database Migration Service (DMS) is a managed, independent service that allows quick and secure database migration to the cloud from on-premises databases running on AWS EC2 instances, or from databases running on other types of databases. It allows you to manage, modify, and move your AWS cloud configurations.

AWS DMS interacts with your source data store through a replication instance, reads the source data, and formats it for consumption by the target data store. A replication instance loads data into the destination data store as well. Hence, replication is an integral part of AWS DMS. In this blog we will explain you in brief about how you can set up replication for AWS DMS.

Steps for setting up replication for AWS DMS

  1. Create a replication instance: Open the AWS DMS console after logging in to the AWS Management Console, and then create a replication instance to perform your migration.
  2. Declare the endpoints: The source and target data store endpoints for the previously constructed Amazon RDS databases can be specified when your replication instance is being set up.
  3. Create a task and migrate the data: By creating a task, you construct a task in this stage to finally migrate the data between your newly formed databases.
  4. Replication testing: In this step, you check the target database for the inserted data in this part after inserting data into the source database, both during and after the first replication.
  5. Cleansing: In this final step, you can get rid of the resources you made. You can eliminate them using the AWS console. An important point to be noted is that you need to be sure to remove the migration jobs before the replication instance and endpoints.

Bottom line

As per the steps discussed above, you might have a decent understanding of how to set up a replication for AWS DMS and why replication is important for the migration process.

However, if you are planning to introduce AWS DMS to your organisation on real grounds, creating the replication instance can prove to be a little challenging and overwhelming. This is an area where experts guidance is recommended. But don’t worry, as we got you covered. If you have any further questions or you want any sort of information about AWS DMS, contact our team of experts at Princeton IT Services.

← All articles

Case studies

Cloud Consulting in practice

Client names are withheld. We are happy to share details on a call.

All case studies
  • Delivered

    On-prem → Amazon RDS

    Nonprofit

    Cloud Consulting

    Oracle from on-premises to Amazon RDS for a national nonprofit

    The nonprofit's on-premises Oracle database had become hard to maintain and scale. We planned the move with automated workflows and validation tests, migrated to Amazon RDS for Oracle with minimal disruption and left a repeatable process for future changes.

    • Automated, tested migration
    • Less day-to-day database upkeep
  • Delivered

    600k files, < 3 days

    Document management

    Microsoft

    600,000 documents moved from ImageRight to SharePoint in under three days

    A one-file-at-a-time script would have needed about 22 days of continuous running. We rebuilt the migration around a SQL work queue with parallel uploads, automatic retries and crash recovery, and it finished unattended in under three days.

    • 1,125 → 8,314 files per hour
    • Under 3 days instead of about 22
  • Delivered

    Every change, flagged

    Food manufacturing

    AI Consulting

    Label comparison agent for a national food cooperative

    Compares two versions of a product label, highlights every change, annotates the PDF and returns an audit-ready list of differences. We moved it from Copilot Studio to Azure Functions when the document processing outgrew the low-code platform.

    • Audit-ready differences in one chat turn
    • Rebuilt from low-code to cloud functions

Keep reading

All Cloud & apps articles

Moving an application to the cloud?

Request a migration plan consult. We will scope the move with you and come back with a fixed-scope plan.