An open-source project designed to offer users a straightforward solution for accessing metrics and a user-friendly visualization tool to improve their SQL database's performance. It enables users to make data-driven decisions and enhance their database efficiency.• Integrated Typescript in over 90% of the codebase to promote readability, scalability, and maintainability, reducing development errors early in the process and preventing serious and obscure bugs during runtime to increase developer productivity• Incorporated Cypress into the CI/CD pipeline to automate end-to-end testing, providing continuous assurance of application functionality and user experience, from development to production, enhancing overall software quality.• Designed a web interface with React to create isolated, reusable components to promote maintainable, scalable and modular code while optimizing rerendering time of UI to reflect the constant changes of the user’s application’s state• Incorporated Chart.js to dynamically visualize users SQL database performance metrics, providing developers with invaluable insights to optimize query efficiency, ensuring high percentile database latency can be monitored and ensuring scalability• Implemented ReactFlow to facilitate the rendering of developers' databases, enhancing the visualization process for improved clarity and efficiency• Employed Zustand as a state management library in React application to store and update application data, ensuring consistent state across all components while limiting heavy boilerplate code with a lightweight and efficient library• Product developed under tech accelerator OS Labs (opensourcelabs.io)