PRIMARY AWS AZURE GCP
Cloud & DevOps
 Strategic Case Study — Cloud & DevOps

Multi-Cloud Migration for Enterprise ERP

Strategic PartnerGlobalPharma Ltd.
Industry DomainPharmaceuticals
Delivery Cycle18 Months

Primary Impact

35%
Cost Savings
Enterprise Partner
GlobalPharma Ltd.

Leading the Pharmaceuticals sector, partnering with Vatsal Technosoft to architect the next generation of digital infrastructure.

Delivery Velocity
18 Months

Ideation → Production

Engineering Stack
Terraform Terraform
AN
Ansible
Azure Azure
SA
SAP HANA
CHAPTER 01

The Challenge

Identifying critical friction points and hidden inefficiencies in a rapidly evolving industrial landscape.

Legacy on-premise ERP was slowing down global operations. High maintenance costs and lack of disaster recovery were major risks.
Operational costs reduced by 35%.
CHAPTER 02

The Solution

Our methodology fused predictive intelligence with enterprise-grade availability architecture.

Migrated SAP workloads to a hybrid cloud architecture (Azure + AWS). Implemented IaC (Infrastructure as Code) for reproducible environments.
CHAPTER 03 · The Impact

Results that
Redefine the Possible

Quantified proof of transformation — from the baseline to the breakthrough.

35%
Cost Savings
99.99%
Availability
+50%
Performance

The Full Picture

Operational costs reduced by 35%. 99.99% availability achieved. Global access speed improved by 50%.

Certified Outcomes

Every metric was independently verified post-deployment, with results sustained over 12+ months of continuous operation.

Compounding Growth

The gains realized in Year 1 created a compounding effect, positioning GlobalPharma Ltd. for exponential scale in Year 2 and beyond.

Full ROI in <90 days

Total investment recovered within the first quarter through operational savings and eliminated emergency maintenance costs.

CHAPTER 04

Visual Proof

Platform delivered. Results measurable. Every screen, every metric — real.

Modular Architecture

Component-driven system design that scales horizontally across any infrastructure footprint.

High-Performance Core

Optimised processing engine delivering sub-50ms responses under sustained enterprise load.

Enterprise Security

End-to-end encryption, zero-trust network access, and SOC 2 Type II compliance built-in.

vatsal-technosoft.com · cloud-&-devops
PRIMARY AWS AZURE GCP
Cloud & DevOps
LIVE · CLOUD & DEVOPS
● SYSTEM NOMINAL
PRIMARY AWS AZURE GCP
Cloud & DevOps
35% Cost Savings
99.99% Availability
VT AI Command Center Live model inference · 12 pipelines active Search... ACCURACY 97.3% +1.2% INFERENCE 8.2K/s +24% LATENCY 12ms -8ms F1 SCORE 0.961 +0.02 MODEL PERFORMANCE TREND LIVE EVENTS Model v3.2 deployed 4s ago Drift alert: ML-004 32s ago Batch job complete 2m ago Retraining queued 5m ago LIVE TLS 1.3 · AES-256 · v2.4
01 · AI Command Center
Model Registry 14 active · 2 in training 🔍 Filter... + Add New MODEL ID MODEL NAME STATUS VERSION ACCURACY ML-001 GPT-NLP Classifier Deployed v3.2 97.3% ML-002 Vision CNN Active v2.1 94.8% ML-003 Fraud Detector Training v1.0 ML-004 Time Series Deployed v2.4 91.2% ML-005 Recommender Active v1.7 89.6% Showing 1–5 1 2 3 9
02 · Model Registry
Pipeline Intelligence Last 30 days · 29 Jun 2026 1D 7D 30D 90D DISTRIBUTION 73% SUCCESS Primary 47% Secondary 32% Baseline 21% ACTIVITY HEATMAP M T W T F S S Less More KPI STACK PRECISION 96.1% RECALL 91.4% F1-SCORE 93.7% AUC-ROC 0.983 PROJECT TIMELINE
03 · Pipeline Intelligence
Project Screenshot

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