Situation:

During peak traffic events like Black Friday, our e-commerce platform experienced significant performance bottlenecks, impacting product quantity updates and overall system stability. We faced the challenge of ensuring a seamless customer experience while handling an unprecedented volume of requests.

Task:

My primary responsibility was to architect and implement a robust, high-performance solution capable of handling over 10 million daily requests, ensuring accurate product quantity management and overall platform stability, specifically leveraging my expertise in Magento, Zend Framework, and MongoDB.

Action:

• Proactive Problem Solving & Solution Development:
  • Identified a critical product quantity update bottleneck, gathered evidence, and proposed a solution to leadership.
  • Spearheaded the development of a dedicated product quantity management service using MongoDB for data persistence and C# for the web service, collaborating closely with cross-functional teams.
  • Engineered a custom layer between Zend Framework and MongoDB, significantly enhancing performance, and further optimized database operations by incorporating performance-enhancing techniques from the Phalcon framework.
  • Conducted rigorous volume testing using JMeter, achieving exceptional performance metrics and demonstrating the solution’s ability to handle high request volumes.
  • Leveraged deep expertise in Zend Framework, Magento, and MongoDB communities to architect and lead the development of high-performance microservices utilizing MongoDB as a database;
• Architecture Optimization & Collaboration:
  • Collaborated with the architectural team to plan code design and analyzed the existing architecture to optimize the store’s ecosystem.
  • Worked closely with QA and DevOps teams to ensure thorough testing, real-time bug fixes, and successful deployment on AWS using high-performance servers.
  • Facilitated integration of the new service with various systems using Delphi, Visual Basic, C#, and PHP.
• Real-time Monitoring & Support:
  • Monitored critical product quantity functionality during Black Friday, ensuring system stability and achieving a 98% success rate amidst 5 million requests in 11 hours.
  • Actively participated in the bug correction team, proactively identifying and resolving issues to ensure the virtual store’s stability during critical periods.
  • Worked on deploy tracking, use tests tracking, and correction of bugs in real-time with the QA team.

Result:

• Successfully enabled the platform to handle over 10 million daily requests during peak periods, including Black Friday, resulting in the successful processing of over 3 million product orders.
• Achieved a 15x improvement in database response times using MongoDB and the custom-built interaction layer.
• Contributed to a highly successful Black Friday event, driving millions of reais in sales and significantly enhancing customer satisfaction.
• Delivered a stable and reliable e-commerce platform, minimizing downtime and ensuring smooth operations during critical periods.
• The solution I created was used by many teams, and the solution was deployed on AWS with high performance servers.
• The system achieved a 98% success rate during peak hours.