Developed a dish review microservice of a restaurant reservation application

Built scalable backend architecture for restaurant menus with 10M+ primary data

Benchmarked RDBMS(PostgreSQL) and non-RDBMS(Cassandra) performance based on the use cases and implemented PostgreSQL query and optimized query speed to under 10ms

Wrote and maintained test cases using enzyme + Jest unit test in TDD, implemented CircleCI test framework for automated testing, and achieved 90+% test coverage

Stress tested app servers with 10K request to simulate high traffic scenario on service and proxy server on AWS EC2

Optimized request traffic bottleneck issue by utilizing Nginx load-balancer and Redis cache and achieved 1000+RPS, 90ms latency and under 1% error rate

Implemented a menu micro service component with react and design mongo database schema

Optimized the page load speed by lightnening bundle file size with utilizing the Brotli text compression algorithm and Gzip compression module, improved the page load speed by 65% (from 3.7 seconds to 1.3 seconds)

Containerized the react components with Docker and optimized the containerization steps by applying the docker-compose tool and managing multiple dockerfiles in a centralized docker-compose script.

Implemented test-driven development enzyme + Jest unit test, integrated automated testing by utilizing CircleCI test framework and achieved 90+% test coverage