From the abstract: Boundary was founded on a relatively simple idea: what if we were to use modern distributed data processing techniques to tackle a moribund industry; IT Monitoring? Further, we figured that if we could tackle the piece of the stack that outputs the most data, the network, then we could take on any data that our customers would care to throw at us. Along the way we built and threw away several databases, and changed from a database model to a streaming model, and are building something slightly different than all of that today. I will talk about our motivations along the way, how the shape and the overall volume of the data drove our architecture decisions. And, of course, I’ll talk about how we were able to derive value from a dataset that’s been deemed useless more times than I can count.