Optimizing Legacy Systems: A Case Study
Case Study: Optimizing Legacy Systems for a Mid-Market Enterprise
Overview
- Client: Anonymous Manufacturing Company
- Industry: Manufacturing / Supply Chain
- Project Duration: 4 months
- Team Size: 3 engineers
- Technologies: Java 8 → Java 17, Spring Boot, PostgreSQL, Redis, Docker
The Challenge
The client was running a 10-year-old Java application that handled their entire supply chain management. The system suffered from:
Business Context
- Legacy system causing 2-3 day delays in order processing
- Maintenance costs consuming 40% of IT budget
- Unable to integrate with modern e-commerce platforms
- Security vulnerabilities in outdated frameworks
Technical Challenges
- Performance: Page load times >8 seconds
- Scalability: System crashed during peak seasonal demand
- Technical Debt: 10,000+ lines of deprecated code
- Database: Monolithic MySQL database with no indexing strategy
- Deployment: Manual FTP uploads with no version control
Our Solution
We proposed a phased optimization approach rather than a complete rewrite, minimizing business disruption.
By Engineering Team
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