Podcasts

Liran Haimovitch on Understandability, Complexity, and Live Debugging

In this podcast, Liran Haimovitch, CTO at Rookout, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: the concept of “understandability” and how this relates to building modern software systems, how complexity impacts a system’s understandability, and the benefits of live debugging tooling.

Rob Skillington on Metrics Collection, Uber’s M3, and OpenMetrics

In this podcast, Rob Skillington, co-founder and CTO at Chronosphere, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: metrics collection at scale, multi-dimensional metrics and high-cardinality, developer experience with platform tooling, and open standards related to observability.

Greg Law on Debugging, Record & Replay of Data, and Hyper-Observability

In this podcast, Daniel Bryant discussed with Greg Law, CTO at Undo, the challenges with debugging modern software systems, the need for “hyper-observability” and the benefit of being able to record and replay exact application execution.

Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack

Josh Wills, a software engineer working on data engineering problems at Slack, discusses the Slack data architecture and how they build and observe their pipelines.

Yuri Shkuro on Tracing Distributed Systems Using Jaeger

On this podcast, we talk with Yuri Shkuro, the creator of Jaeger, author of the book Mastering Distributed Tracing, and a software engineer at Uber, about how the Jaeger tracing backend implements the OpenTracing API to handle distributed tracing.