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Developer, Advocate! is a set of interviews with prominent technologists, covering what drives their interest and enthusiasm in the industry. The brevity of each interview provides direct information and insight that can be read separately at any time, in any order, enabling those with busy schedules to read, put down, repeat.
Ben Sigelman talks about "Deep Systems", their common properties and re-introduces the fundamentals of control theory from the 1960s, including the original conceptualizations of Observability & Controllability. He uses examples from Google & other companies to illustrate how deep systems have damaged people's ability to observe software, and what needs to be done in order to regain control
Grishma Jena gives an overview of Machine Learning and delves deep into the pipeline used - right from fetching the data, the tools and frameworks used to creating models, gaining insights and telling a story.
Courtney Hemphill talks about some of the historical precedents (and disasters) of incentive structures; looking not just at software but various industries that require complex and creative efforts between diverse teams.
Olga Kundzich, Richard Francois cover JPMorgan Chase’s journey to transition to Spinnaker, demoing a configurable Spinnaker pipeline template that manages all the deployment processes.
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