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.

Ana Medina on Chaos Engineering, Game Days, and Learning

In this podcast, Ana Medina discussed with Daniel Bryant about how enterprise organisations are adopting chaos engineering with the requirements for guardrails and the need for “status checks” to ensure pre-experiment system health; how to run game days or IT fire drills when everyone is working remotely; and why teams should continually invest in learning from past incidents.

Stefan Prodan on Progressive Delivery, Flagger, and GitOps

Topics discussed included: how progressive delivery extends the core ideas of continuous delivery; how the open source Flagger Kubernetes operator can be used to implement a progressive delivery strategy via canary releasing with an API gateway or service mesh; and the new “GitOps toolkit” that has evolved from the Flux continuous delivery operator.

Rancher on Hybrid Cloud, Kubernetes at the Edge, and Open Standards

In this podcast, Shannon Williams and Darren Shepherd from Rancher Labs sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: the adoption of hybrid cloud across organisations, the evolution of Kubernetes as a key abstraction for portability and cross-cloud security, running thousands of Kubernetes clusters at the edge, and the value of open standards.

Nora Jones on Resilience Engineering, Mental Models, and Learning from Incidents

In this podcast, Nora Jones, co-founder and CEO at Jeli and co-author of O’Reilly’s “Chaos Engineering: System Resiliency in Practice”, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: chaos engineering and resilience engineering, planning and running effective chaos experiments, and learning from incidents.