Featured Case Study
Software Engineering Advisory • Manufacturing Industry
The IoT Platform Rebuild That Unlocked Double Growth
How we helped an ag-tech manufacturer rebuild trust in their technology, empowering internal teams to pursue opportunities that could double their business through modern DevOps and scalable architecture.
Published: January 15, 2025 • Financial Services Industry
Key Results
1,000+
Connected Machines
Managed remotely across multiple states
$10M+
New Opportunities
Platform enables business-doubling deals
100%
Code Visibility
From no Git to full transparency
The Challenge
Our client, a machinery manufacturer with 50-200 employees, was struggling with a failed cloud platform built by previous contractors. Their Director of Technology had lost trust in the application that was supposed to enable remote management of 1000+ smart agricultural devices across the country.
Key pain points included:
4-hour deployment windows causing business disruption
Manual deployment processes taking weeks
Fragile .NET API causing constant issues
No visibility into code or deployment processes
Lack of SOC 2 compliance requirements
High infrastructure costs due to over-provisioning
Inability to pursue new business opportunities due to technical debt
Buggy application with no version control
Our Solution
We rebuilt their entire platform from the ground up, focusing on empowerment and scalability while establishing modern development practices.
1. Analytics Dashboard MVP
Started with a simple read-only analytics tool allowing office staff to view machine data and daily operations, rebuilding trust through incremental delivery.
2. DevOps Implementation
2. Full-Stack Platform Rebuild
Transitioned from maintaining the problematic .NET API to building a complete Python/Django solution, enabling bidirectional communication with field machines.
3. IoT Architecture Modernization
Implemented AWS IoT Core for secure device provisioning and management, handling edge cases like connectivity issues, backups, and authorization without shared credentials.
4. Cloud Migration
4. DevOps Transformation
Established GitLab CI/CD pipelines, automated deployments, and proper version control, giving the Director of Technology full visibility and control over the codebase.
Phase 3: Migration & Testing (Months 5-8)
Gradual migration of services, comprehensive testing, and performance optimization.
Implementation Timeline
Phase 1: MVP (Months 1-2)
Delivered analytics dashboard MVP while assessing the existing architecture and building stakeholder confidence.
Phase 2: API Rebuild Decision (Month 3)
Strategic pivot to rebuild the entire API in Python after demonstrating the limitations of the existing .NET system.
Phase 3: Migration & Testing (Months 5-8)
Gradual migration of services, comprehensive testing, and performance optimization.
Phase 3: Platform Development (Months 4-8)
Built full-stack application with IoT communication, inventory management, and remote machine control capabilities.
Phase 3: Platform Development (Months 4-8)
Built full-stack application with IoT communication, inventory management, and remote machine control capabilities.
Phase 4: Team Enablement (Months 9-12)
Transitioned to advisory role while helping build internal team and establishing sustainable development practices.
Results & Impact
The transformation went beyond technical improvements to fundamentally change how the company approaches technology:
1. Performance
Technical Empowerment
Director can now deploy code in one day vs. weeks
Full team ownership of technology stack
Ability to build POCs quickly for new opportunities
1. Performance
Cost Optimization
Business Growth
$2M annual infrastructure savings
Pursuing warehouse automation projects
Launching inventory tracking as new product line
Multiple opportunities that could double business size
The Director of Technology can contribute code alongside the team, reviews pull requests, and can pursue time-sensitive opportunities without external dependencies. The modern architecture enables new modules like automated warehouse integration and third-party ERP connections.
Project Details
Industry
Manufacturing
Company Size
500-1000 employees
50 - 200 employees
Project Duration
12 months
Team Size
8 engineers
Services
1 engineers
Services
Software Engineering Advisory
Technologies Used
Ready for Similar Results?
Let's discuss how we can help create your custom application.
Legacy Application Modernization
Refactor aging code to reduce risk
Custom Application Development
MVPs and full-stack systems built for scale
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