Zymr re-architected the solution into containerized microservices on Google Kubernetes Engine (GKE). A CI/CD pipeline was established using GitLab CI and Helm charts. Centralized logging and monitoring were enabled through Prometheus and Grafana. Redis caching and async job queues optimized API performance. The frontend was gradually migrated to Angular with API contracts for backward compatibility.
A global logistics technology provider offering B2B shipment tracking and route optimization services. The client wanted to modernize its legacy Java application to support international expansion and improve feature delivery velocity.
The monolithic codebase led to deployment delays and regression issues. Customers experienced inconsistent performance due to infrastructure bottlenecks. Lack of observability and CI/CD pipelines created delays in identifying bugs. Scaling was inefficient and costly due to static VM-based infrastructure.
Deployment frequency improved from bi-monthly to weekly. Page load speeds improved by 60%, and infrastructure costs were reduced by 35%. Customer churn dropped as system stability and performance improved.
Zymr re-architected the solution into containerized microservices on Google Kubernetes Engine (GKE). A CI/CD pipeline was established using GitLab CI and Helm charts. Centralized logging and monitoring were enabled through Prometheus and Grafana. Redis caching and async job queues optimized API performance. The frontend was gradually migrated to Angular with API contracts for backward compatibility.
Show More
.svg)
.svg)
.svg)
.svg)
.svg)
.svg)