Adventures in DevOps

Share Episode We sit down with veteran Principal Engineer Justin Abrahms to discuss why having a clear engineering scoreboard is critical to winning the software delivery game. Drawing on his experience scaling deployment pipelines for payment engineers, platform engineering teams, and globocorps, Justin explains the simple truth: when you deliberately do the right things—embracing continuous delivery, small batch sizes, and tight feedback loops—you get the right outcomes. Yet despite these battle-tested practices existing for decades, our industry suffers from an "Eternal September" fueled by terrible onramps. We dissect the performative theater of modern engineering, taking aim at the severe lack of intentionality in code reviews. Too many peer reviews devolve into superficial nitpicking rather than educational, inquisitive assessments of long-term maintainability. Justin shares lessons learned from working alongside Trevor Foucher (author of The Art of Readable Code) at Google, demonstrating how high-signal code reviews should actively educate developers and de-risk downstream systems before code ever hits production. Finally, we confront the reality that raw development speed is profoundly addictive. Teams chase the immediate dopamine hit of generating code faster with LLMs, ignoring what happens when they look just one week or one month out and realize unmaintainable prototypes instantly collapse under the weight of real customer changes 💡 Notable Links: Book: The Psychology of Software Teams Short: Rory Sutherland — Slow is safer and better 🎯 Picks: Warren - Malicious domain names research Justin - Deadworld Isekai

Share Episode We welcome David Burns, Head of Open Source at BrowserStack and previously Mozilla, this week to help explain how can browser and mobile app testing be so bad still in 2026. "Even if we had to do it all over again, we probably still wouldn't have gotten it right", might just be the biggest learning. We review some of the core challenges that cause even the most experienced web engineers pain and how some companies are attempting to avoid them. We also review shares lessons from Mozilla’s 'War on Orange,' demonstrating why chasing a 100% green CI suite at scale is a fool's errand, and why engineering teams must instead manage delta tolerances and adhere to a strict testing pyramid. Additionally, we investigate the physical hardware nightmares of running 30,000 real phones in data centers; from battery swelling and custom Faraday cages to complying with Apple EULA requirements using racks of Mac Minis. And finally, we discuss WebMCP, Project Fugu, and why LLM browser agents still struggle against edge-case browser behaviors like the Back-Forward Cache (BF Cache). 💡 Notable Links: ✨ Episode: Sam Goto — Security challenges in the Browser World ✨ Episode: Actually think about how are your users use your tools Mozilla CI - Tree Herder The Worst UX site with a perfect 100 Project Fugu Browser initiative WebMCP Project Specification 🎯 Picks: Warren - Paper — The Corporate Bullshit Receptivity Scale David - Anbernic Retro Handheld Game Console

Share Episode 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. Apache Druid creator, previous Yahoo Distinguished Engineer, Fellow at Splunk, and currently the Chief Architect as Imply, Eric Tschetter joins us to confirm that there are unsolved problems in data platforms, and it doesn't get better when we throw agents into the mix. In the true DevOps mindset aligment, Eric reminds us that whoever is operating the system, knows what is going on, they know their service boundaries, and so it's their choice to make. And the sad reality is that at large enough companies, you will always have independent teams making independent decisions, it's never possible to fully align them, and realistically we get down to why it is even a mistake to try. 💡 Notable Links: ✨ Episode: Grafana — Observability ✨ Episode: AST can run anything Book: Lean Manufacturing — The Toyota Way Monkeys typing the Complete Works of Shakespeare Paper: Ironies of Automation (& AI) Jeff Bezos API Rant — 2011 Book: The Formula, Science Success Show: Burn Notice 🎯 Picks: Warren - The Agency Eric - 継続は力なり — keizoku wa chikara nari

Share Episode 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. We discuss the necessity of designing products for testability from day one—such as using pair programming where one developer writes the implementation while the other writes the test suite, or building dedicated test interfaces directly into the application architecture. We also analyze the hidden business costs of poor quality, where engineering debt forces sales teams to spend their time managing upset clients instead of acquiring new revenue. We explore organizational anti-patterns—such as teams claiming to be 'Agile' with one-year sprint cycles, or shipping debug builds to production because release builds continuously crash, highlighting a pair-programming model where one developer writes the code while another writes the corresponding tests Finally, we tackle the dangers of chasing vanity metrics, from engineers writing automated assert pass statements to claim fake coverage, to organizations bragging about more code. Anoop distinguishes between output gain and outcome gain, warning that LLMs are creating a massive testing and review crisis by generating 20-page documentation files for minor features. 💡 Notable Links: Quality Iron Triange of Software Book: Sapiens ✨ Episode: DORA Report ✨ Episode: Grafana — Managing Open Source 🎯 Picks: Warren - Proof of Quantum Consciousness - Paper Annop - Book: Genesis: Artificial Intelligence, Hope, and the Human Spirit

Share Episode 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. The conversation opens with an honest look at the flood of AI-generated, low-quality resumes and remote interview cheating tactics, which have pushed many organizations toward in-person whiteboard interviews or closed-network referrals. We explore how software development has evolved from character-by-character coding into "judgment work," where an engineer's value relies on holistic decision-making, taste, and business alignment rather than raw syntax memorization. Nikhil emphasizes the importance of an "ownership mindset," urging developers to move beyond acting as mere specification-translators and instead evaluate technical trade-offs through a business-focused lens. We also pull back the curtain on modern technical interviews, highlighting why expressing strong convictions, asking intentional career questions, and proving human reasoning without LLM assistance remain essential for standing out. 💡 Notable Links: Show: Pluribus 🎯 Picks: Warren - Sony made the walkman worse Nikhil - Book: Leadership Strategy and Tactics: Field Manual