Developing a Microservices Platform with Modernization

Encora selected AWS as the platform of choice for this implementation, as it provided a robust and diverse set of services which could lay a solid foundation for the microservices-based platform the client needed. AWS also provided a scalable and reliable infrastructure stack to meet the client’s evolving needs.  

The services offered by Encora to Corcentric spanned: 

• Product Development:  Focused on enhancing and rationalizing features within the modern tech stack. This included a thorough review and optimization of legacy code, leading to improved system performance and maintainability. We developed comprehensive documentation for new features, transitioning from a lack of documentation to detailed, actionable records, which improved overall project transparency and knowledge sharing.

• Machine Learning & AI Models: Engineered data solutions and developed AI models for enhanced operational efficiency and user interface support. 

• Test Automation: Enhanced automation processes, upgraded regression suites, and conducted performance testing to ensure robust software reliability. Expanded test automation to increase coverage and efficiency, minimizing regression time. 

• Code Synthesis, Refactoring & Documentation: Introduced prototype caching mechanisms to optimize document query efficiency and reduce dependency on GPT-4 API calls. 

By working with Encora, the client was able to modernize and transform their legacy systems and streamline their operations by leveraging AWS's scalable infrastructure. Our microservices-based platform helped them enhance performance, reduce costs, and accelerate innovation. Improved product development, test automation, and AI integration enabled us to develop a robust and efficient system to meet the client’s needs. 

The overall business benefits achieved include: 

• Accelerated time-to-market for client product lines, resulting in quicker deployment of new features and updates. 

• Increased customer satisfaction with more reliable and efficient services.  

• Boosted productivity of developers and teams through better engineering practices and automated processes. 

• Achieved seamless product line transitions with extensive coverage across product lines, support functions, and sales operations. 

• Reduced operational costs through optimized resource utilization and automated processes. 

• Enhanced innovation by enabling faster implementation of innovative solutions and AI-driven enhancements.