Humans of Reliability
Humans of Reliability
Podcast Description
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
Podcast Insights
Content Themes
The show focuses on themes such as incident management, reliability engineering, and personal journeys within the tech industry, with episode examples including insights on SRE practices from Google’s Steve McGee and the impact of mentorship in tech leadership from Hannah Hammonds, highlighting key challenges and tools used in the field.

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
”Hey Claude, where's my database?” The answer came back: ”Oh, sorry, your database is gone.” Alexey Grigorev, founder of DataTalks.Club and creator of the Zoomcamp courses that have taught data and ML engineering to over 100,000 people, knows Terraform well enough to cover it in his curriculum. That didn't stop a chain of small, reasonable-sounding decisions from ending in an AI agent running terraform destroy against his live production database.

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