Operations | Monitoring | ITSM | DevOps | Cloud

What does it really take to move from firefighting incidents to building reliability at scale? In this episode of Humans of Reliability, Shery Brauner (Razor, ex-Zalando) shares her unique journey from frontend and backend engineering to leading site reliability practices. She explains why protecting the user journey is the key to effective incident management, how SLOs cut through noisy alerts, and why observability must come first.

Sylvain Kalache sits down with Brian Shaw, Senior Engineering Leader at Uphold, to explore the reliability challenges that arise when operating at the intersection of traditional finance and crypto markets. Brian shares how unexpected market events can create massive traffic spikes, how their platform architecture and Kubernetes setup help them stay resilient, and why Uphold's transparency and regulatory approach make them both trustworthy and a high-profile target.

How accurately can LLMs predict how bugs were fixed? To start exploring this field, we put Llama 4 and other leading models to the test using a GitHub Multiple Choice Benchmark. Each model was given a real bug ticket and had to identify the pull request that resolved it.

Jeba Emmanuel, Rootly AI Labs Fellow, explains how he created a tool that takes a GitHub repository and a postmortem repository to generate an incident diagram and a timeline. The solution uses a series of highly-specialized LLMs for better and more consistent results.

We set out to create a ringtone that wasn’t just loud—but the sound of a modern pager. Something that wakes you up, but without triggering a full-blown adrenaline spike. In this video, go behind the scenes with sound engineer Gorjão as he crafts a how research-based on-call sound sounds like.