$250M+ ARR
12+ Successful Years
1500+ Global Employees
5000+ Projects
"The team at Developers.dev didn't just replace our old system; they transformed our technology backbone. Their deep understanding of both logistics and microservices architecture was evident from the start. The migration has already yielded a 25% reduction in processing time for shipments and gives us the scalable foundation we need for the next decade. Their CMMI Level 5 process gave us the confidence to undertake such a mission-critical project."
Marcus Thorne, Director of Operations
Our client is a US-based, top-50 global logistics provider with over $2 billion in annual revenue. They manage a complex network of freight, warehousing, and supply chain solutions across North America and Europe. Their operations were hampered by a monolithic, on-premise legacy system that was expensive to maintain, difficult to update, and incapable of integrating with modern partner APIs and IoT devices. This technological bottleneck was directly impacting their operational efficiency and ability to compete on real-time visibility and data analytics.
The client's core logistics platform was a 15-year-old monolithic application. It was unstable, costly, and created data silos, preventing a unified view of operations. Adding new features took months, and they were unable to offer the real-time tracking and predictive analytics that their customers were demanding.
The legacy system was the operational heart of the business; any downtime during migration would result in millions in lost revenue.
Migrating decades of complex shipment and client data without corruption was a monumental task.
The new platform needed to integrate with dozens of third-party systems, including customs brokerage, fleet management, and customer ERPs.
The new system had to be intuitive for a non-technical workforce accustomed to the old platform for over a decade.
We assembled a dedicated "Java Microservices Pod" and a "Python Data-Engineering Pod" to architect and execute a phased modernization strategy. We proposed a strangler fig pattern, incrementally carving out functionality from the monolith and replacing it with new, independently deployable microservices.
We implemented Apache Kafka as the central nervous system, allowing old and new systems to communicate asynchronously and ensuring data consistency.
All new microservices were built as Docker containers and managed by Kubernetes, enabling auto-scaling, resilience, and efficient resource utilization on AWS.
Our data engineering team built a robust ETL pipeline using Python and Apache Spark to carefully extract, transform, and validate data, moving it to a new, optimized PostgreSQL database.
We developed a new web-based user interface using React, working closely with the client's operations team to ensure the new workflows were more efficient and user-friendly than the old system.
Conducted a 4-week deep-dive discovery phase to map every process of the legacy system.
Set up a complete CI/CD pipeline using GitLab CI to automate testing and deployment.
Began by building a new "Shipment Tracking" microservice, running it in parallel with the old system to validate its accuracy.
Systematically "strangled" other core domains: Booking, Invoicing, and Warehouse Management.
Used API gateways to seamlessly route traffic between the remaining legacy components and the new microservices.
Executed the final data cutover during a planned low-traffic weekend, with the full team on standby for hyper-care support.
Automated workflows and a faster system reduced the time required to process and manage shipments.
Moving from expensive on-premise servers to an optimized AWS cloud-native environment drastically cut TCO.
The new microservices architecture allows the client to develop and deploy new features in days instead of months.
The new platform's robust API enabled the client to offer premium data integration services to their largest customers, creating a new high-margin revenue stream.
Our CMMI 5 approach was critical for managing the complexity of this migration.
We ensured the new cloud infrastructure was secure and compliant from day one.
The project required a blend of Java, Python, DevOps, and UI/UX experts, all from our in-house team.
A consistent, dedicated team ensured deep project knowledge throughout the multi-year engagement.
The client owns 100% of the new, modern platform.
We used AI tools to accelerate code generation for boilerplate microservice components.
We had the flexibility to rotate specialists onto the project as needed.
Our prior experience in logistics allowed us to understand the business context deeply.
This project adds to our 3000+ successful deliveries since 2007.
By partnering with Developers.dev, the client successfully navigated a high-risk, high-reward modernization project. They have shed the constraints of their legacy technology and now possess a flexible, scalable, and efficient platform that positions them as a technology leader in the global logistics industry.
