TL;DR
|
Project attribute |
Implementation detail |
Business impact |
|---|---|---|
|
Industry focus |
HVAC & logistics supply chain |
Optimized for high-volume freight & last-mile delivery. |
|
Core challenge |
Legacy ERP monolith causing 2-week deployment lags. |
Lost agility and high operational overhead. |
|
Tech transformation |
Microservices migration (Docker & Kubernetes) |
70% faster feature delivery & deployment cycles. |
|
Data strategy |
Real-time inventory API & automated warehouse sync. |
40% reduction in manual processing |
|
Scalability |
Horizontal pod autoscaling (HPA) via Kubernetes. |
Support for 10x user growth year-over-year |
The
Overview
A logistics company was trapped by their legacy ERP. Wishtree modernized their entire stack, migrating the monolith to containerized microservices and enabling automated CI/CD pipelines.
Problem
Statement
The client’s legacy ERP was actively slowing their business. They needed a modern foundation, fast, cost-efficient, and built for growth.
Highlights
Containerized architecture
CI/CD pipelines enabled
2→3
Weeks to days deployment
99.95%
Uptime achieved
38%
Lower AWS costs
Autoscaling infrastructure
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
A logistics platform managing freight, warehousing, and last-mile delivery for enterprise clients. Their legacy ERP had grown organically over a decade – monolithic, hard to change, and expensive to operate.
- Each new feature took 2 weeks from code commit to production.
- The monolithic codebase made changes risky and coordination painful.
- Infrastructure costs climbed every month with no end in sight.
- Scaling during peak demand required over-provisioning, wasting money during normal traffic.
- Downtime incidents eroded customer trust.
- Broke down the monolithic ERP into loosely coupled microservices.
- Containerized all services using Docker for consistency across environments.
- Orchestrated containers with Kubernetes, enabling automated deployment, scaling, and management.
- Implemented CI/CD pipelines with automated testing and deployment.
- Configured autoscaling to handle demand spikes automatically without over-provisioning.
- Right-sized all cloud resources, eliminating waste and optimizing costs.
- Deployed comprehensive observability for real-time visibility into performance and health.
- CI/CD pipelines use automated test selection to run only relevant tests for each change, speeding up deployment.
- Autoscaling algorithms predict demand patterns and scale proactively.
- Observability data feeds into anomaly detection, identifying potential issues before they cause downtime.
- Cost optimization tools continuously analyze resource usage and recommend rightsizing opportunities.
Core Features
Microservices architecture
Containerization (Docker)
Kubernetes orchestration
Cloud cost optimization
Observability stack
Impact
- 70% faster feature delivery
- 99.95% uptime achieved
- AWS bill cut by 38% t
- Peak demand handled seamlessly
- Infrastructure scales automatically
Why Wishtree
Wishtree modernizes legacy systems for logistics and supply chain companies. We deliver faster deployments, lower costs, and bulletproof reliability – all, without disrupting live operations.
For this supply chain client, we:
- Cut deployment time by 70% with microservices and CI/CD
- Achieved 99.95% uptime through autoscaling and Kubernetes
- Reduced AWS costs by 38% with continuous optimization