Operations | Monitoring | ITSM | DevOps | Cloud

In this episode, Swizec Teller, author of the bestselling Scaling Fast, makes a bold claim: code is cheap, reliability is not. As AI coding tools accelerate feature development, the real competitive advantage shifts to operating systems reliably in production. We explore the hidden complexity of SRE work, the addictive nature of agentic coding, and why ownership — not automation — remains at the core of modern software engineering.

Many companies don’t invest in incident management until something goes wrong. commonsku took a different path. In this episode of Humans of Reliability, Sylvain sits down with Dileshni Jayasingha, VP of Technology at commonsku, to talk about what it really takes to introduce incident management in a mature, profitable SaaS that had never formalized it. From rolling out observability and incident tooling to practicing internal status updates before going public, Dileshni shares how her team built the right muscles before they were forced to.

Shipping systems powered by LLMs would be hard enough if the models stayed the same. But in reality, they don’t. Models get updated and deprecated at a pace traditional software wouldn’t. All while teams are still expected to hit reliability targets that look a lot like traditional SLAs.

GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology.

A major shift just hit SRE-focused AI. Gemini 3 Pro edged out OpenAI’s models and outperformed them across every single SRE task we tested. In this Rootly AI Labs episode, Sylvain Kalache and Laurence Liang break down.

Learn more: https://rootly.com/blog/the-hidden-costs-of-immature-incident-management

In this episode, Julien Simon, longtime voice in the open-source ML world, reminds us that even in the era of GenAI, reliability fundamentals haven’t changed. Julien breaks down why calling “the same model” from different providers can produce wildly different results, how deployment choices introduce hidden variability, and why reliability teams need to think of LLM systems as distributed systems.

Rootly is the AI-native on-call and incident management platform that helps you resolve incidents faster, improve system resilience, and streamline on-call operations. It’s your always-on SRE copilot that automates root cause analysis and identifies patterns that drive continuous improvement—trusted by thousands of companies like LinkedIn, NVIDIA, Replit, Elastic, Canva, Clay, Tripadvisor, and Grammarly.