Papers

If you’ve ever wondered how Facebook handles millions of users fetching data at lightning speed, it’s possible because of systems like Memcache. It is a network cache that helps Facebook serve data quickly while keeping things reliable. Main purpose of memcache is to provide frequently accessed data fast and save time in computing redundant information. Let’s look at how Facebook modified Memcache to operate at their massive scale and solve real-world challenges, based on their paper _"Scaling Memcache at Facebook....

Google faced a challenge: they needed to query massive amounts of raw data, but processing and generating output was time-consuming. They required a solution that could parallelize the entire computation process, deliver results faster across multiple machines, and handle failures effectively. The goal was to build a system capable of parallel computation. While the tasks of deriving data were straightforward, the volume of raw data (crawled pages, documents, etc.) was huge....