From the shear volume of data that the systems we are building at Datalogue need to process there's a couple of things that are constantly on our minds. 1) how do we write correct, distributable programs while maintaining a level of development productivity that allows us to innovate? 2) how do we leverage existing data infrastructures to keep our costs manageable by only storing the data we need to create delightful user experiences? For a while, I thought that would mean squeezing every ounce of performance low level performance and having the ability to write correct distributed programs. This first hypothesis is why I went from actor system in Rust to building a company on Akka. My talk will focus on the transition from building an actor system using a new highly, hyped, low level language like Rust to leveraging the power of an existing framework like Akka and the beauty of Scala.
