Co-create with Ideas2IT










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We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.
We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.
From Fragmented Systems to Unified SaaS: A Case Study in Secure Data Migration for Quality Management
Terraform, Terragrunt
Python, PySpark
Bitbucket pipeline
Pytest, Pycoverage
Jmeter, Blazemeter
Junit5
SQLines convertor
Datadog
Fragmented legacy systems slowed growth and raised risk. The QMS provider needed a secure, automated path to unify terabytes of compliance data into a multi-tenant SaaS platform.
A leading QMS vendor trusted by major enterprises was scaling rapidly, but operational inefficiencies were mounting. Customers were distributed across on-prem deployments, single-tenant cloud environments, and legacy databases. Every upgrade, patch, or migration introduced risk and delay.
They had market momentum and enterprise clients but their infrastructure had become a liability.
To streamline operations and support continued growth, they needed to consolidate everything into a single, cloud-native, multi-tenant architecture without compromising compliance or disrupting live environments.
The reality under the hood:
The legacy infrastructure was limiting scale and operational clarity.
Ideas2IT engineered a purpose-built migration tool designed for volume, variation, and velocity. The solution was an industrial-grade tool with parallel processing, transformation, observability, and strict tenant isolation.
All of it wrapped in a hardened environment using AWS KMS, Cognito, IAM roles, and private networking.
Metric | Before | After |
---|---|---|
Customer migration time | Weeks–months | Hours–days |
Maintenance overhead | High | Down 36% |
Tenant scalability | Limited | Seamless across environments |
Data consistency | Manual validation | Automated checksums + audits |
Onboarding new clients | Painful | Click-to-provision ready |
The client now delivers QMS as a product. Their engineering team can roll out features globally. Their sales team can price competitively. Their customers get speed, scale, and reliability.
Terraform, Terragrunt
Python, PySpark
Bitbucket pipeline
Pytest, Pycoverage
Jmeter, Blazemeter
Junit5
SQLines convertor
Datadog
Fragmented legacy systems slowed growth and raised risk. The QMS provider needed a secure, automated path to unify terabytes of compliance data into a multi-tenant SaaS platform.