Adventures in DevOps
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. Every episode you'll meet a new industry veteran guest with their own unique story.
Episodes
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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. We unpack how developer friction, copy-pasted control structures, an...
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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.
Most importantly, he outlines how ob...
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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 sit down with Moriel Schottlender, Principal Systems Software Engineer at the Wikimedia Foundation, to dissect how pu...
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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. Mark explains why the most crucial features for identifying abusive behavior, like drug dealers or scam...
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? Pia and ...
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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. It's the one better Air...
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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 s...
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Welcome back to another hopefully, relief from architectural existential dread. This week, we've pulled in Seth Eliot from Arpio, (Ar-Pi-O, RPO, get it?), to dive headfirst into the beautiful, deeply expensive illusion that migrating your legacy infrastructure to a major hyperscaler magically grants it in...
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This week's adventure tackles the absolute absurdity of modern enterprise infrastructure, where a single company can easily find itself running multiple different CI/CD platforms due to unchecked mergers and acquisitions. We've brought in Chris Farris, AWS Security Hero and consults with companies via Sec...
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We grabbed Donald Nguyen, co-founder and CTO at Corvic, to discuss the absurd complexities of enterprise data and multimodal inference. We explore how organizations habitually hoard mountains of useless, "dead" data just out of the sheer fantascy that someone might ask for it later. We highlight the funda...
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Down to business with GitHub's Cassidy Williams, Senior Director of Developer Advocacy at GitHub, where we try to untangle the existential dread of modern software development. It includes the sheer absurdity of managing a platform that officially crossed the one billion commit mark in 2025. Currently abs...
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Founder of Bespinian and long-time cloud solutions architect, Lena Fuhrimann, sits down with us to clarify the widespread confusion around serverless architecture. We discuss how serverless is often incorrectly equated solely with Function as a Service (FaaS), when it actually represents a broader spectru...
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We sit down with Ian Duncan, senior staff engineer on the stability team at Mercury, to discuss the delicate balance of choosing your tech stack and the implications. That means explore the concept of the novelty budget or frequently known as "Choose Boring Technology". It emphasizes why companies should ...
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We explore the past and AI-driven future of Infrastructure as Code with Cloud Posse's Erik Osterman, discussing various IaC traumas. Erik maintains the world's largest repository of open-source IaC modules. Looking back at the dark ages of infrastructure, from the early days of raw CloudFormation and Capi...
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We sit down with Jaikumar Ganesh, Head of Engineering at AnyScale, to explore the intricacies of heterogeneous compute. He unpacks the growing CPU/GPU divide, detailing how ML pipelines require precise orchestration — using CPUs for data reading and writing while leveraging expensive, massive-die GP...
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In this adventure, we sit down with Dan Wahlin, Principal of DevRel for JavaScript, AI, and Cloud at Microsoft, to explore the complexities of modern infrastructure. We examine how cloud platforms like Azure function as "building blocks". Which of course, can quickly become overwhelming without the right ...
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How much do you really know about the protocol that everything is built upon? This week, we go behind the scenes with Simone Carletti, a 13-year industry veteran and CTO at DNSimple, to explore the hidden complexities of DNS. We attempt to uncover why exactly DNS is often the last place developers check d...
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We are joined by Daan Boerlage, CTO at Mavexa as we tackle the long-awaited arrival of IPv6 in cloud infrastructure. Here, we highlight how migrating to an IPv6-native setup eliminates public/private subnet complexity and expensive NAT gateways natively. As well as entirely sidestepping the nightmare of I...
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In this episode, we examine how the software industry is fundamentally changing. We're joined by our expert guest, Matt Edmunds, a long-time UX director, principal designer, and Principal UX Consultant at Tiny Pixls. The episode kicks, analyzing how early AI implementation in Applicant Tracking Systems (A...
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We dive into the shifting landscape of developer relations and the new necessity of optimizing documentation for both humans and LLMs. Melinda Fekete joins from Unleash, and suggests transitioning to platform to help get this right by utilizing LLMs.txt files to cleanly expose content to AI models.
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