One-liner summary:
A global quality management software provider partnered with Ideas2IT to build a secure, scalable migration engine that moved terabytes of compliance data from fragmented on-prem systems to a unified, multi-tenant SaaS platform reducing onboarding time, operational costs, and architectural complexity.

The Situation:

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 Problem:

Multiple database engines

(Oracle, SQL Server, MySQL)

10–20K tables per customer

60–80 schemas per instance

Data sprawl across 10TB+

with inconsistent logic and access

Complex business logic

embedded in custom scripts, procedures, and legacy workflows

No unified approach

to enforce compliance or simplify client onboarding

The legacy infrastructure was limiting scale and operational clarity.

What We Built:

Ideas2IT collaborated with Stride K12’s academic and product leaders to rewire the platform using generative AI, GPT-based assistants, and gamified UX.
  • Pre-check engine

    for infra and compatibility audits across DBs, OS, and auth systems
  • Schema conversion layer

    (via SQLines) to normalize Oracle/SQL Server into MySQL
  • Migration orchestrator

    built with Python and PySpark for core and non-core data
  • Parallel migration pipeline

    across tenants using CDC, Debezium, and Kafka
  • Post-migration validation

    with checksum audits and SLA-based handover
  • Dashboards, logs, and metrics

    via Datadog, Grafana, and OpenSearch

All of it wrapped in a hardened environment using AWS KMS, Cognito, IAM roles, and private networking.

The Results:

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 hecksums+ audits
Onboarding new clients Painful Click-to-provision ready

What This Taught Us

Heterogeneous data is normal and designed for it.

Your systems will never be clean until you make them portable.

Scripts won’t scale. But platforms do.

If you're doing it more than once, automate it and abstract it.

Security, observability, and auditability are table stakes.

Especially if you're in compliance-heavy industries like QMS.

Explore how our Cloud Migration Services can modernize your legacy platforms with zero business disruption.

Key Takeaways

  1. Gamification is only valuable when tied to academic milestones
  2. Emotional intelligence (SEL) must be designed into the core UX
  3. Large-scale personalization depends on system-wide integration and adaptive content
The real insight? AI in education should foster deeper student connection.

Build What’s Next.

With an AI-Native Software Team.

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We set up a short call to understand your product or platform goals
Choose the model: co-development, full-cycle build, or AI-enabled sprint
We bring in a handpicked AI-native team to hit the ground running with you
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Tell us a bit about your business, and we’ll get back to you within the hour.