Join Now
Cloud-Native Logistics Platform Migration
Cloud & DevOps12 MonthsGlobal Logistics Leader

Cloud-Native Logistics Platform Migration

A strategic modernization effort to move a massive Java-based logistics monolith to a cloud-native, scalable architecture optimized for global real-time tracking.

Overview

The story
behind it

The client faced significant performance bottlenecks and scaling issues with their legacy Java platform during peak shipping seasons. Keyhole Software led a multi-phase modernization initiative to decompose the monolith into scalable microservices, implement a robust CI/CD pipeline, and migrate the entire ecosystem to AWS EKS.

50%
Faster Releases
35%
Cost Savings
4x
Traffic Capacity
99%
Downtime Reduction
The Challenge

What stood in the way

The system processed millions of events per hour, making performance and data consistency critical. The team had to decouple tightly linked business domains while maintaining full operation of the legacy system to avoid any disruption to global shipping routes.

Our Solution

How we made it happen

We implemented an event-driven architecture using Apache Kafka to handle high-frequency data streams. The frontend was rebuilt using React for improved responsiveness, and the backend was transitioned to Spring Boot services running on Kubernetes, enabling auto-scaling based on real-time load.

Key Results

Impact that speaks

60%

Deployment Velocity

Automated pipelines allowed the team to move from monthly to daily production deployments.

35%

Infrastructure ROI

Optimized container orchestration reduced cloud spend while improving system performance.

100%

Peak Performance

The system handled record-high volumes during holiday seasons with zero performance degradation.

Gallery

A closer look

Cloud-Native Logistics Platform Migration gallery 1
Cloud-Native Logistics Platform Migration gallery 2
Features

What we
delivered

Every feature was built with purpose, performance, and user experience at its core.

Event-Driven Microservices Architecture
Real-Time Package Tracking Engine
Automated CI/CD with Jenkins & Terraform
Global Load Balancing & Auto-Scaling
Predictive Route Optimization API
Enterprise Data Consolidation
Cloud-Native Security Hardening
High-Availability Database Clustering
Tech Stack

Tools & technologies

JavaSpring BootApache KafkaAWS EKSReactTerraformPostgreSQL
Timeline

From concept to launch

Phase 1

Strategic Blueprint

Domain-driven design workshops to identify microservices boundaries and event schemas.

Phase 2

Infrastructure Provisioning

Setting up the AWS EKS environment and internal developer platforms using IaC.

Phase 3

Feature Migration

Incremental straggler-pattern migration of core shipping and tracking services.

Phase 4

Performance Tuning

Stress testing and optimization of Kafka consumers for global scale operations.

FAQ

Common questions

Ready to start?

Let's build something remarkable together

We'd love to discuss how we can help bring your vision to life. Our team has extensive experience across AI, web, mobile, and cloud technologies.

Start a conversation