The author shares their experience with using Vercel’s analytics product and the challenges they faced with the pricing structure and data limitations. They reflect on the decision to convert images to jpg to save on data costs rather than pay Vercel. The author then describes their journey of building a new stack called the Squeeh stack using sqlite for analytics services, detailing the load testing and optimization process. They ultimately deploy the new stack on DigitalOcean but face challenges with docker and server performance. The author also discusses implementing an analytics API using Vercel functions and session tracking for better data collection. The post ends with the author testing the new system and encountering issues with 500 errors.
https://dgerrells.com/blog/how-to-save-13-27-on-your-saas-bill