Peter Bourgon and Sean Braithwaite offer an overview of microservices and data pipelines, explaining how both systems reflect the organizations and people that build them (in adherence to Conway’s law) and can be well understood in terms of their relationship to change and time. You’ll learn the virtues and vices of each architecture and get enough context to apply them coherently.
Peter Bourgon is a distributed systems engineer moving bytes around at Fastly. Peter is also an open source contributor.
Sean Braithwaite is a data scientist and engineer based in Berlin. For the past eight years, he’s been using data for everything from data-driven art installations to real-time ad bidding. Most recently, Sean has been responsible for scaling SoundCloud’s data pipeline to handle billions of events per day.
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