Case Study: Telecom Cloud Migration - TnY Systems
Case Study: Telecom Billing Migration to Cloud

Cutting TCO by 60% with
Cloud Migration

How TnY Systems helped a leading Canadian telecom provider transition from a monolithic legacy Oracle infrastructure to a highly scalable, cost-efficient Data Lake on AWS.

Cost Savings

60%

Infrastructure TCO Reduction

Velocity

85%

Faster Billing Cycles (48h → 6h)

Efficiency

Zero

Manual Server Patching

The Legacy Trap

The High Cost of Inertia

The client was trapped in a high-cost cycle with a legacy on-premise footprint. Expensive Oracle licensing and aging hardware meant monthly billing calculations dragged on for 48+ hours, delaying revenue recognition and incurring massive operational overtime.

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  • Exorbitant Maintenance

    High fixed costs required for perpetual Oracle licensing and physical hardware refreshes.

  • Operational Bottlenecks

    48+ hour billing cycles caused massive I/O chokepoints and prevented agile financial reporting.

The Innovation

Lift, Shift, and Optimize

We executed a strategic Cloud-Optimized Migration. By decommissioning on-prem hardware and transitioning to Informatica Intelligent Cloud Services (IICS) paired with Amazon S3, we transformed a capital-intensive monolith into a scalable, high-velocity Data Lake.

On-Prem Oracle DB Amazon S3 & IICS
01

Cost-Efficient Storage (Amazon S3)

Offloaded historical billing data from expensive Oracle block storage to highly scalable, tiered S3 object storage.

02

Managed Integration (Informatica IICS)

Migrated complex ETL logic from legacy PowerCenter to the cloud, eliminating manual patching and server maintenance overhead.

03

Performance Optimization

Parallelized billing calculation logic on AWS elastic compute to completely bypass legacy hardware I/O bottlenecks.

Business Impact

Turning Technical Excellence into Measurable Financial Results

TCO Slash

Reduced infrastructure costs by ~60% by shifting from a rigid CapEx model (hardware) to a flexible OpEx model (cloud consumption).

Accelerated Revenue

Billing calculation time dropped from a crippling 48 hours to just 6 hours, allowing for faster invoice generation and revenue recognition.

Operational Gain

Achieved zero manual patching and drastically reduced operational overtime by moving to fully managed cloud services.

Scalability

The new Data Lake architecture decouples storage from compute, future-proofing the client for massive data growth without exponential costs.

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