Critical path-driven development
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Positive Chatbot, Inside Serverless, TimBL's Next Project, and Voting Machines
Watch highlights from expert talks covering DevOps, SRE, security, machine learning, and more.
Anil Dash asks: How could our processes and tools be designed to undo the biggest bugs and biases of today’s tech?
Jessica McKellar draws parallels between the free and open source software movement and the work to end mass incarceration.
Francesc Campoy Flores explores ways machine learning can help developers be more efficient.
Kavya Joshi says performance theory offers a rigorous and practical approach to performance tuning and capacity planning.
Apple MDM, Source Explorer, Verification-Aware Programming, and Superstar Economics
DARPA History, Probabilistic Programming, Superstar Macroeconomics, and Interactive Narrative
Observing Kubernetes, Ada Lovelace, Screen Time, and 6502 C
The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness.
Calendar Fallacies, Data Lineage, Firefox Monitor, and Glitch Handbook
The World Economic Forum’s 2018 jobs report limits research to a narrow range of the workforce.
Walmart's Blockchain, Machine Learning and Text Adventures, Algorithmic Decision-Making, and Networked Brains
Software Engineering, ML Hardware Trends, Time Series, and Eng Team Playbooks