Podcasts

Pam Selle on Serverless Observability

On this podcast, Pam Selle (an engineer for IOPipe who builds tooling for serverless observability) talks about the case for serverless and the challenges for developing observability solutions. Some of the things discussed on the podcast include tips for creating boundaries between serverless and non-serverless resources and how to think of distributed tracing in serverless environments.

Charity Majors on Honeycomb.io, the Social Side of Debugging and Testing in Production

In this podcast, recorded live at Strange Loop 2017, Wesley Reisz talks to Charity Majors, cofounder and CEO of honeycomb.io. They discuss the social side of debugging and her Strangeloop talk “Observability for Emerging Infra: What Got You Here Won't Get You There”. Other topics include advice for testing in production, shadowing and splitting traffic, and sampling and aggregation.

Twitter's Yao Yue on Latency, Performance Monitoring, & Caching at Scale

Yao Yue spent the majority of her career working on caching systems at Twitter. She created a performance team that deals with edge performance outliers often exposed by the enormous scale of Twitter. In this podcast, she discusses standing up the performance team, thoughts on instrumenting applications, and interesting performance issues (and strategies for solving them) they’ve seen at Twitter.

Martin Hadley on R and the Modern R Ecosystem

In this podcast Werner Schuster talks to Martin Hadley, data scientist at University of Oxford. They discuss the state of the R language, the rich R ecosystem that covers development (RStudio), notebooks for publication (R Notebooks, RPubs), writing web apps (Shiny), and the pros/cons of the different data frames implementations.