MAP 300
DevOps, NodeJS, shell scripting, and AngularJS project. Successfully converted C++ code to NodeJS for improved performance and maintainability.
Overview
MAP 300 was an ambitious project that involved converting legacy C++ measurement system code to a modern NodeJS implementation. The project focused on enhancing system performance while improving code maintainability and allowing for easier future updates.
Challenge
The main challenge was preserving the precise functionality of complex measurement algorithms while migrating from C++ to NodeJS. Additionally, creating robust DevOps pipelines for continuous integration and deployment was critical for the project's success.
Solution
We implemented a phased approach to code conversion, ensuring each component was thoroughly tested before integration. Using NodeJS for the backend allowed us to create a more modular architecture with improved performance. Shell scripting was utilized for automation of deployment processes, while AngularJS provided a responsive and intuitive front-end interface.
Results
The modernized system achieved a 30% improvement in processing speed while significantly reducing maintenance overhead. The new architecture also enabled easier integration of new features and updates, extending the product's lifespan and market competitiveness.
Project Gallery
Project Information
- ClientVIAVI Solutions
- DurationJune 2020 - April 2022
Services Provided
- Software Development
- DevOps Implementation
- Code Migration
- System Architecture
Interested in a similar project?
We'd love to hear about your project and explore how we can help bring your vision to life.
More Projects
Fearless Fitness
Digital solution for Fearless Fitness Group (PTY) LTD, a dynamic conglomerate in Botswana with three subsidiaries focused on wellness and active living.
Telus Spin To Win
Full-stack development project that included converting from PHP to NodeJS and MySQL to MongoDB, with custom admin dashboard implementation.
Precision OS Dashboard
Interactive dashboard for VR equipment users and surgeons to track medical procedure training progress and performance metrics.