Show host Edaena Salinas talks with Katie Malone about Machine Learning. Katie Malone is a Data Scientist in the Research and Development department at Civis Analytics. She is also an instructor of the Intro to Machine Learning online course from Udacity and host of Linear Digressions, a podcast about machine learning. Topics include: machine learning, data science, a career in machine learning.
Donny Nadolny of PagerDuty joins Robert Blumen to tell the story of debugging an issue that PagerDuty encountered when they set up a Zookeeper cluster that spanned across two geographically separated datacenters in different regions.
Edaena Salinas talks with James Whittaker about Career Strategy in the technology field. James is a Distinguished Technical Evangelist at Microsoft and author of “How Google Tests Software” and the viral blog post “Why I left Google”. Topics include: Career Management, the role of mentors and managers in your career, a discussion on 1:1 meetings, job specialization and advice on when to switch jobs.
Host Marcus Blankenship talks with Gerald Weinberg about his new book, Errors: Bugs, Boo-boos, and Blunders, focusing on why programmers make errors, how teams can improve their software, and how management should think of and discuss errors.
Eberhard talks with Florian Gilcher about the programming language Rust. Rust originates from Mozilla research. Its focus is on system programming and it is often used to replace C or C++. Topics include the concepts behind Rust; concurrent and safe programming; advanced and unique features like ownership and borrowing; the rust type system (which supports other features like traits, generics and macros). The show finishes with: the evolution of Rust based, features of libraries, and how the community works.
Felienne talks with Peter Hilton on how to name things. The discussion covers: why naming is much harder than we think, why naming matters in programming and program comprehension, how to create good names, and recognize bad names, and how to improve your naming skills.
Gil Tene joins Robert Blumen for a discussion of tail latency. What is latency? What is "tail latency"? Why are the upper percentiles of latency more relevant to humans? How is human interaction with an application influenced by tail latency? What are the economics of tail latency? What are the origins of tail latency within a system? What is the difference between response time and service time? How does queuing within a system contribute to response time? Java garbage collection and its contribution to latency outliers. How can we build systems with bounded tail latency out of components with variable latency? What type of observability to do we need to build systems with bounded latency? How is latency a driver of capacity planning?