Scaling lessons learned at Dropbox, part 1 Rajiv Eranki I was in charge of scaling Dropbox for a while, from roughly 4,000 to 40,000,000 users. For most of that time we had one to three people working on the backend. … Read more
Nobel Prize winner P.B. Medawar once wrote, in Advice to a Young Scientist, that ‘any scientist of any age who wants to make important discoveries must study important problems.’ But what makes a problem “important”? And how do you know … Read more
When you send telemetry into Honeycomb, our infrastructure needs to buffer your data before processing it in our “retriever” columnar storage database. For the entirety of Honeycomb’s existence, we have used Apache Kafka to perform this buffering function in our … Read more
One of the most common questions I hear is: “why has YC continued to grow our batch size?”. For each twice-yearly batch, we receive thousands of applicants through our online application. We have always wanted to fund as many great … Read more