Client Background and Business Context
Our engagement with a global retailer, operating in hundreds of locations globally, presented an exciting challenge. Our partner faced significant performance challenges in their Java-based legacy web application, supported by Microsoft SQL Server and Java technologies.
An audit revealed low success rates and long task execution times for many concurrent users. It was clear that a substantial issue was at hand, requiring immediate attention and innovative solutions.
Project Overview
The task at hand was to revitalize the client’s struggling Java-based legacy web application, powered by Microsoft SQL Server and Java technologies, and breathe new life into its performance. A comprehensive audit underscored the critical need to re-platform the legacy application to achieve the desired improvements. The goal was to enhance the client’s operational efficiency and user experience by transforming a critical situation into a positive outcome.
Challenges Faced
We had to address not only the immediate performance issues but also devise a long-term strategy for enhancing the application’s efficiency.
- Low Success Rate: Addressing the high number of unsuccessful user requests.
- Slow Task Execution: Significantly reducing task execution times.
- Concurrency Support: Ensuring the application could effectively support 60 concurrent users without compromising performance.
Our Approach
- In-depth Analysis: Conducted a thorough examination to identify performance bottlenecks within the Java application and Microsoft SQL Server database.
- Targeted Stabilization and Optimization: Implemented a range of techniques to improve speed and efficiency. This included:
- Fine-tuning database queries for faster data retrieval.
- Optimizing memory usage in the Java application.
- Streamlining code execution for smoother processing.
- New Platform Architecture Proposal: Based on our findings, we proposed a new platform architecture to address the underlying issues and enhance overall performance.
- Rigorous Testing: Continuously tested after each optimization to ensure effectiveness and avoid unintended consequences.
Results Achieved
- Enhanced Financial Performance: Data-driven strategies led to an optimized decision-making process, improving overall financial outcomes.
- Reduced Operational Workflow Time: Automation streamlined operational processes, saving valuable time and resources.
- Improved Data Accuracy: Automated data analysis minimized human error and ensured consistent decisions across products and stores.
- Enhanced Team Collaboration: Shared scenarios and communication tools fostered collaboration within the business team, resulting in a unified business strategy.
- Agreed Approach for Re-platforming the Legacy Application: In alignment with our comprehensive analysis, we agreed on a strategic approach to re-platforming the legacy application. This new architecture addresses the identified issues, setting the foundation for long-term performance and scalability improvements.
Next step?
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