• Developed a durable and performant web application that utilizes AWS CloudWatch and SDK to monitor and visualize health analytics of AWS Lambda functions, providing a simple yet informative user experience.

• Featured Cloudwatch metrics using Chart.js, which integrated seamlessly into frontend components and dynamically streamlined the user’s AWS Lambda data to be displayed in an easily readable format.

• Incorporated TypeScript, allowing for a more streamlined refactoring process by providing static typing of components and concise error identification during compile time.

• Utilized React Router to enable a seamless user experience with conditional rendering of different components in the navigation bar and optimize rendering performance with minimal network requests in a single page app.

• Implemented Express as the backend framework to process HTTP requests, route and error handling while promoting modularization of the server’s functionality with its middleware design pattern.

• Integrated Redis for the purpose of caching the chunks of data received into local memory which helped reduce both the number of requests made to third-party APIs and response times of re-displaying metrics.

• Created a development environment with Vite in order to streamline the development process, taking the advantage of its built-in development server, abstracted configuration file, and in-browser ES module handler.

• Adapted Docker to containerize the application, creating a scalable, portable, and immutable infrastructure that enhances performance efficiency and allows the app to run seamlessly across various operating systems.

• Deployed the dynamic web application using Heroku via Git Integration, which allowed for minimal reconfiguration of the codebase while maintaining core functionality.

• Created reusable components with React to easily maintain state variables with Hooks throughout the application for the sake of ensuring data within components are able to be dynamically updated.

• Stored song information within MongoDB that allowed for simple schema structuring and accessibility for the data to be displayed within a personalized saved songs list.

• Constructed middleware functions via Express that allowed users to make HTTP requests to a web API in order to play songs based on the data received in the embedded iframe or store the data to the user’s schema.

• Created testing suites using Jest and Supertest that simulated the rendering of React components and the handling of API requests to a HTTP server in order to validate proper functionality of existing code.

• Engineered a PostgreSQL database structure to contain relational data stored, enabling concurrent connections from multiple clients that can update game state and have changes reflected for other players.