See how we've helped businesses solve complex technical challenges, modernize their infrastructure, and achieve measurable results. Each case study details the client's challenge, our solution approach, and the outcomes achieved.

Healthcare Platform Modernization

Industry: Healthcare Technology | Timeline: 4 months | Team Size: 3 developers

Migrating a legacy patient management system to modern cloud infrastructure

The Challenge

A growing healthcare provider was struggling with a 10-year-old patient management system built on outdated technology:

  • Hosted on aging on-premise servers requiring constant maintenance
  • Unable to scale to handle their growing patient base (5,000+ patients)
  • Lacking modern features like mobile access and real-time updates
  • Non-compliant with current HIPAA security requirements
  • Costing $8,000/month in server maintenance and downtime

Our Solution

โ˜๏ธ

Cloud Migration

Moved the entire system to AWS with HIPAA-compliant infrastructure

๐Ÿ’พ

Database Modernization

Migrated from SQL Server 2008 to Amazon RDS with automated backups

๐Ÿ”Œ

API Development

Built RESTful APIs to enable mobile access and third-party integrations

๐Ÿ”’

Security Hardening

Implemented end-to-end encryption, MFA, and comprehensive audit logging

Technologies: AWS EC2, Amazon RDS, Node.js, React, PostgreSQL, Docker, GitHub Actions

Results

MetricResult
Cost Reduction72%
Uptime Achieved99.9%
Page Load Speed3x faster
HIPAA Compliance100%

"GTM Enterprises transformed our outdated system into a modern, reliable platform. The migration was seamlessโ€”our staff didn't miss a beat. We're now spending 70% less on infrastructure and can finally focus on patient care instead of IT problems."

โ€” Dr. Sarah Mitchell, Medical Director


E-Commerce Platform Scaling

Industry: E-Commerce | Timeline: 2 months | Team Size: 2 developers

Building infrastructure to handle 10x traffic growth during peak seasons

The Challenge

A rapidly growing online retailer was experiencing:

  • Website crashes during high-traffic periods (Black Friday, holiday sales)
  • Cart abandonment rate of 68% due to slow checkout process
  • Lost revenue estimated at $150,000 during previous holiday season
  • Database bottlenecks causing 15+ second page load times
  • Manual deployment process taking 4+ hours

Our Solution

๐Ÿ“ˆ

Auto-Scaling Infrastructure

Configured AWS Auto Scaling Groups to handle traffic spikes automatically

โšก

Database Optimization

Implemented read replicas, query optimization, and Redis caching layer

๐ŸŒ

CDN Integration

Moved static assets to CloudFront for global distribution

๐Ÿ›’

Checkout Optimization

Optimized checkout flow reducing steps from 7 to 3

Technologies: AWS ECS, Application Load Balancer, MySQL, Redis, CloudFront, Docker, Stripe

Results

MetricResult
Downtime Events0
Load Time Improvement85% faster
Cart AbandonmentDown 42%
Additional Revenue$380K

"We went from dreading high-traffic periods to confidently running promotions knowing our site can handle it. The ROI on this project was realized in a single weekend. Best investment we've made."

โ€” James Torres, CEO, Online Retail Co.


Smart Factory IoT Solution

Industry: Manufacturing | Timeline: 3 months | Team Size: 2 developers

Building real-time equipment monitoring system for manufacturing floor

The Challenge

A mid-size manufacturing company needed to:

  • Monitor 24 machines across the production floor in real-time
  • Reduce unplanned downtime costing $12,000 per hour
  • Track equipment efficiency and identify bottlenecks
  • Predict maintenance needs before failures occur
  • Integrate with existing PLC systems without disruption

Our Solution

๐Ÿ”Œ

Arduino-based Sensors

Designed and deployed 24 custom sensor nodes monitoring temperature, vibration, and operating status

๐Ÿ“ก

Wireless Mesh Network

Implemented LoRa communication for reliable factory-floor connectivity

๐Ÿ“Š

Cloud Dashboard

Built real-time web dashboard showing machine status, alerts, and analytics

๐Ÿ”ฎ

Predictive Maintenance

Developed ML models to predict equipment failures 2-3 days in advance

Technologies: Arduino MKR, LoRa, MQTT, Node.js, React, InfluxDB, AWS IoT Core

Results

MetricResult
Downtime Reduction67%
Annual Savings$240K
OEE Improvement18%
Prediction Accuracy92%

"The IoT system paid for itself in 4 months. We now catch problems before they cause downtime. The dashboard has become essential for our daily operations. We're expanding it to our other facilities."

โ€” Michael Chen, Operations Director


Ready to Achieve Similar Results?

Let's discuss your project and create a custom solution that delivers measurable results.

Start Your Project
Get Started