Client's Testimonial

"Developers.dev didn't just give us a technical solution; they delivered a business transformation. Their phased modernization approach minimized risk, and their expertise in cloud-native Java was exceptional. We now have a system that is not only 40% faster but also gives us the agility to innovate. They are a true strategic partner."

David Chen, CTO, Global Logistics Solutions Inc.

Client Overview

A Fortune 500 logistics company, analogous to our client UPS, managing millions of shipments daily across a global network. Their core routing and dispatch system was built on a 15-year-old Java monolith. The system was stable but incredibly brittle, slow to update, and expensive to maintain on legacy on-premise servers. Business demands for real-time tracking and dynamic rerouting were impossible to implement on the existing architecture.

Problem

The client's core logistics platform was a business-critical liability. It was hampering innovation, costing millions in maintenance, and at risk of catastrophic failure due to its aging, unsupported components. They needed to modernize without disrupting 24/7 global operations.

Key Challenges

Zero-Downtime Requirement

The system could not go offline during the migration.

Complex Business Logic

Decades of undocumented business rules were deeply embedded in the monolithic code.

Data Integrity

Millions of in-flight shipment records had to be migrated with perfect fidelity.

Integration with Legacy Systems

The new system needed to communicate with dozens of other internal and external legacy systems.

Our Solution

We proposed a phased, strut-and-refactor approach using the Strangler Fig Pattern to de-risk the migration. Instead of a "big bang" rewrite, we would incrementally build new microservices to replace pieces of the monolith's functionality, routing traffic to the new services as they became ready.

🔎 Deep Discovery & Deconstruction

Our architects spent four weeks reverse-engineering the monolith, documenting business logic, and identifying bounded contexts suitable for extraction into microservices.

🌉 Building the Strangler Facade

We built a lightweight API gateway that sat in front of the old monolith, initially passing all traffic through. This facade would become the router, directing calls to new microservices as they came online.

🧱 Incremental Service Extraction

We prioritized the most critical and self-contained function-package tracking-as the first microservice to be built using Spring Boot, deployed on AWS with Kubernetes for orchestration.

↔️ Data Synchronization

We implemented a data synchronization mechanism to ensure real-time consistency between the legacy Oracle database and the new microservice's PostgreSQL database during the transition.

Implementation and Execution

A dedicated POD of 12 experts was assigned

1 Solution Architect, 1 Project Manager, 6 Senior Java Developers, 2 DevOps Engineers, and 2 QA Automation Engineers.

We established a CI/CD pipeline using Jenkins and GitLab

from day one to automate testing and deployment.

The project was managed using a 2-week Agile sprint cycle

with daily stand-ups and bi-weekly demos for client stakeholders.

The first microservice (Package Tracking) went live in 3 months

routing 10% of live traffic initially, then scaling to 100% over two weeks.

Over the next 12 months, we systematically extracted five more core services

including routing, dispatching, and invoicing.

The final step was to decommission the old monolithic application

and the legacy on-premise servers.

Positive Outcome

⚡ 40% Improvement in Performance

Average API response times for tracking and routing queries were reduced from 2.5 seconds to under 400 milliseconds.

💰 60% Reduction in Infrastructure Costs

Migrating from expensive on-premise servers to an optimized AWS environment dramatically lowered TCO.

🚀 90% Faster Deployment Times

The time to deploy new features was reduced from a quarterly, high-risk release cycle to on-demand, daily releases.

💡 Enabled Innovation

With the new microservices architecture, the client was finally able to launch a new real-time dynamic rerouting feature, creating a significant competitive advantage.

Positive Outcome for Global Logistics Leader

Why Choose Us

✅ Process Maturity

Our CMMI 5 process was key to managing this complex, high-risk project.

👥 Ecosystem of Experts

We had Java, DevOps, Cloud, and QA experts in one seamless team.

🛡️ Risk Mitigation Strategy

The Strangler Fig Pattern demonstrated our strategic, business-first approach.

🧠 Deep Domain Knowledge

We understood the criticality of logistics operations.

🗣️ Transparent Communication

The client had full visibility at every stage.

🎯 Focus on Business Outcomes

We measured success by performance gains and cost savings, not just lines of code.

📈 Scalability

The new architecture can handle 10x the previous traffic load.

🔒 Security

The new cloud environment was built with our SOC 2 principles in mind.

⭐ Proven Track Record

Our experience with clients like UPS gave the client confidence.

Conclusion

This project exemplifies how Developers.dev acts as a transformation partner. We successfully modernized a business-critical legacy system with zero downtime, unlocking significant cost savings, performance gains, and the agility for future innovation.

Legacy Modernization for a Global Logistics Leader: Slashing Costs and Boosting Performance

Industry Logistics & Supply Chain