Humans of Reliability

Behind every reliable software system, there are people working hard to keep it online. Humans of Reliability is a series that spotlights the engineers, leaders, and innovators at the heart of incident management and system reliability. Through candid conversations, we explore the challenges, lessons, and personal journeys of those navigating complex technical landscapes to ensure the systems we rely on run smoothly. From unforgettable incident stories to favorite tools, workflows, and hobbies, Humans of Reliability uncovers the human side of technology—offering insights and inspiration for anyone passionate about building and maintaining resilient systems. https://rootly.com/humans-of-reliability

Humans of Reliability is a technology podcast hosted by Rootly, with 38 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Rootly hosts Humans of Reliability, a technology show with 38 episodes published.

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  Humans of Reliability

  Your AI agents are lost: give them a graph w/ Anthony Alcaraz (AWS)

  Jul 21, 202625 min

  The race to build capable AI agents often focuses on model intelligence. Anthony Alcaraz argues that the harder, more durable problem is context: giving agents the right information, relationships, tools, and constraints at the moment they need them. Anthony is a Senior AI/ML Portfolio Growth Manager at AWS and co-author of O'Reilly's Agentic GraphRAG . He explains how graph-based architectures can improve retrieval, memory, planning, and multi-step reasoning while capturing the tribal knowledge that conventional enterprise systems leave behind. The conversation also looks beyond architecture. Anthony describes self-improving agent systems, feedback loops that connect technical performance to business outcomes, and a future where small teams manage large fleets of agents without losing sight of customers or value.

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  Humans of Reliability

  AI vs. AI: From Alert Fatigue to Agentic Cybersecurity

  Jul 15, 202626 min

  AI is giving attackers the ability to scale phishing, discover vulnerabilities, and build increasingly autonomous malware. But it is also helping defenders investigate alerts, eliminate noise, and respond before threats become incidents. Nir Soudry , Head of R&D at 7AI , joins Humans of Reliability to explore the rise of agentic cybersecurity. He explains why humans must remain accountable for AI decisions, how security teams can introduce agents gradually, and why adopting AI should be treated as an ongoing partnership rather than a simple software installation. We also discuss AI-generated code and its impact on reliability, 7AI’s claim that automated investigations can remove roughly 90% of alert noise, and the industry’s evolution from reactive security toward proactive, policy-driven prevention. Will generative AI create more incidents—or help us stop them before they happen?

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  Humans of Reliability

  Every pilot is ready for engine failure: are your engineers? w/ Hamed Silatani (Uptime Labs)

  May 28, 202629 minS0

  <p>Every pilot who's never had an engine failure is still ready for one. The same can't be said for most software engineers facing their first major incident. </p><p>Hamed Silatani, co-founder and CEO of Uptime Labs, and former Head of Reliability Engineering at IG Group, has spent two decades watching engineers learn incident response the hard way: alone, under pressure, with no training. </p><p>A moment in a hospital delivery room, where a team of nurses responded to a crisis with clockwork precision, crystallized what he'd long suspected: IT spends heavily on tooling and process but almost no...

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  Humans of Reliability

  LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

  May 14, 202621 minS0

  <p>For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. <br/><br/>As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. <br/><br/>The fundamentals are the same: track your code, data, and models so you can roll back when something breaks. <br/><br/>What did change is the surface area. Tools, prompts, embeddings, agents, every component shifts behavior unpredictably, and business met...

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  Humans of Reliability

  The Golden Hour: Why the First 15 Minutes of an Incident Decide Everything w/ Gandhi M. N. Kumar (Twillio)

  Apr 28, 202630 minS0

  <p>Most incident response advice focuses on tools, alerts, and post-mortems. Gandhi Mathi Nathan Kumar, Principal Incident Commander at Twilio, with 14 years running calls that have pulled in up to 100 responders, argues the work that actually matters happens in the first 15 minutes. <br/><br/>In this episode, Gandhi walks through what he calls the golden hour: the window where you decide whether you know what's broken, who belongs on the call, and whether to chase the root cause or reach for redundancy. <br/><br/>He gets into why mitigation has to come before diagnosis, why customers trust your status page mo...

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