Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...
All content for Humans of Reliability is the property of Rootly and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...
Balancing Reliability at the Crypto-Finance Frontier with Brian Shaw (Uphold)
Humans of Reliability
13 minutes
4 months ago
Balancing Reliability at the Crypto-Finance Frontier with Brian Shaw (Uphold)
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. The conversation also touc...
Humans of Reliability
Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production. Conor dives into the shift from traditional test-driven development to evaluation-driven development, where metrics like context adherence, completeness, and ac...
