Case Study
Building a Migration Factory for Speed and Consistency
Client Profile
Technology Migration & ModernizationSaaS
Overview
A global technology enterprise needed to accelerate cloud adoption but struggled with ad hoc processes that slowed progress and created risk. Clearscale built a Migration Factory model on AWS that standardized planning, automation, and governance. The new framework provided reusable patterns, stronger consistency, and faster timelines for large-scale migration.
Meet Our Hero
This software provider delivers enterprise-scale content management solutions. As customer demand grew, its migration efforts became more complex, with teams often duplicating effort and implementing inconsistent solutions.
The company needed a standardized approach that could simplify planning, automate execution, and ensure observability. Without a repeatable process, migration timelines stretched, and operational risks increased.
The Challenge
Challenge 01
Lack of a standardized migration process across teams
Challenge 02
Inconsistent implementations created duplication and errors
Challenge 03
Complex dependencies made migrations difficult to manage
Challenge 04
Data migration challenges slowed progress
Challenge 05
Observability gaps reduced confidence in outcomes
The Goal
- Establish a repeatable “Migration Factory” model
- Create reusable patterns and templates to reduce duplication
- Enforce best practices and strengthen governance
- Ensure consistency, quality, and observability
- Accelerate timelines for large-scale migrations
The Solution
Step 01 | Discovery and Planning
- Developed a workshop template to guide discovery
- Created structured planning using an Azure DevOps backlog
Step 02 | Reusable Framework
- Designed a Migration Workbench model to standardize execution
- Built Terraform-based Infrastructure-as-Code templates for repeatable deployments
Step 03 | Application and Data Modernization
- Refactored applications to leverage AWS-native services
- Migrated data from CosmosDB to DynamoDB for scalability and performance
Step 04 | Automation and CI/CD
- Implemented CI/CD pipelines to streamline delivery
- Automated governance with reusable patterns and controls
Step 04 | Observability and Handover
- Integrated observability with DataDog for monitoring and visibility
- Delivered runbooks, dashboards, and cutover plans for operational readiness
The Impact
Standardized migration model, replacing ad hoc processes
Accelerated timelines, with reusable frameworks and automation
Improved quality and governance, enforced through best practices
Greater visibility, with observability tools embedded in the framework
Scalable approach, supporting future migrations at enterprise scale
Turn Cloud Chaos Into Clear Results On AWS
Clearscale helps technology enterprises break free from cloud chaos and experience clear results on AWS. If your migration efforts are slowed down by inconsistent processes, let’s talk.