Podcast profile
By Will Button, Warren Parad
Join us in listening to the experienced experts discuss cutting edge challenges in the world of DevOps. From applying the mindset at your company, to career growth and leadership challenges within engineering teams, and avoiding the common antipatterns.
Latest episode
38 min
Topics
Software delivery, infrastructure automation, CI/CD, collaboration, and operational practice.
Internal developer platforms, paved roads, self-service infrastructure, and platform teams.
Major technology platforms, companies, ecosystems, leadership, and competitive behavior.
Formats
Detailed technical, architectural, or research-oriented examination.
Host-led conversation where a guest supplies most of the subject matter.
Audience level
Regularly assumes specialist knowledge and discusses implementation, architecture, protocols, code, or research in depth.
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Episodes shown — 10 of 25
From your feedback, we know that on-call issues, especially those that arise at the database layer are always the most challenging to solve. This episode builds on our Grafana Observability episode as we go deeper into the challenge of data ownership in data lakes.
Sauce Labs CTO Anoop Tripathi addresses the root causes of broken test suites and why teams frequently become numb to intermittent test failures. Anoop shares concrete lessons from his career, detailing how bad practices like embedding fixed sleep routines instead of signal-based waiting ruin test reliability.
In this episode, we sit down with Nikhil Mungel, Head of AI R&D at Cribl, to discuss how LLMs have dramatically transformed the tech hiring landscape.
Pushkar Gopalakrishna, Senior Staff Software Engineer at Snap, previously Cruise and AWS, joins to explore why engineering organizations pivot away from Terraform and HCL toward Kubernetes-native tools even when they might not be better.
Co-Founder of Grafana Labs, Anthony Woods, joins to share his perspective on how open source solutions are thriving despite the deluge of pull requests being thrown at them through their open source repositories.
As it turns out, the entire artificial intelligence boom is essentially running on Wikipedia's free labor, but while knowledge is free, physical server infrastructure definitely is not.
We are joined this week by Mark Hay, CTO and co-founder of TextQL and former lead of Text Classification Infrastructure at Meta, to uncover the hidden complexities behind massive-scale machine learning.
We sit down with Itacama CEO Pia Wiedermayer to discuss the absurdity of siloed QA, the disaster of AI-generated API tests, and why developers hate the word "quality." This time we are asking the age-old question: Who needs testers anyway?
We talk with Ragic CEO Jeff Kuo about Semantic Web origins, dodging DDoS attacks, and the absolute horror of a database that randomly deletes its own files. He revisits how a 25-year-old master's thesis on the Semantic Web evolved into a massive spreadsheet-driven database builder.
Developers spend more than 50% of their time reading code, making it the single largest expense in software engineering. Despite this massive cost, the industry rarely discusses or optimizes how we read code. So we've brought in Tudor Girba, CEO at Feenk to help us rethink, just how software engineering should be done.