HOW TO DESIGN RESILIENT AND LARGE SCALE DATA SYSTEMS

Summary from the TLDR Web Dev newsletter

Building a data system is incredibly complex, as each team, product, and company has vastly different needs and requirements. Architecting an efficient data system calls for considering three things: latency, correctness, and scalability. This article thoroughly examines these pillars of data systems while also exploring push vs pull architectures, the CAP theorem, and choosing the right data store.