Perfaria is a modern platform for analyzing and optimizing website performance, similar to Google PageSpeed but more functionality. It provides detailed reports on loading speed, performance, accessibility, and SEO, helping to enhance user experience. Perfaria automatically analyzes websites, offers optimization recommendations, and tracks changes in real time.
When creating Perfaria, my client and I faced several key challenges. We needed to provide fast and accurate website performance analysis, integrate speed, accessibility, and SEO audits into a single solution, and develop a user-friendly visualization system so that even non-technical users could easily understand optimization recommendations. In addition, the platform had to be able to handle high volumes of requests without losing performance, which required an efficient architecture and an optimized backend.
To overcome these challenges, I proposed developing the Perfaria platform, which uses automated website analysis based on Lighthouse and WebPageTest, provides users with detailed reports with recommendations for performance improvement, and provides a user-friendly interface with visualization of key indicators. In addition, we needed to develop a scalable query processing system that would allow the platform to work efficiently even with a large flow of users. It was imperative that the interface was user-friendly and in line with current trends.
Perfaria’s design is focused on simplicity, accessibility, and maximum efficiency. I created a minimalist interface in a modern style that provides intuitive navigation and allows users to quickly obtain all the necessary information. The main attention was paid to data visualization: interactive graphs, color performance indicators, and detailed recommendations made the analysis and optimization process convenient and understandable. The design is adaptive, which guarantees comfortable use of the platform on both desktops and mobile devices. I also developed a site design that meets modern trends, is adaptive for mobile devices, and is user-friendly.
Perfaria development took place in several stages using agile methodologies. We started with a market analysis and definition of basic functional requirements, after which we created a prototype that was tested and adjusted based on feedback from potential users. Further development included the integration of third-party APIs, backend development, and database optimization. We paid special attention to the speed of data processing, which allowed the platform to effectively analyze a large number of sites simultaneously. Thanks to constant testing and iterative improvements, we achieved high stability and performance.