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. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
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.
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. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
Metrics That Matter: Measuring Developer Productivity in the AI Era
Humans of Reliability
39 minutes
8 months ago
Metrics That Matter: Measuring Developer Productivity in the AI Era
In this episode of Humans of Reliability, Ryan McDonald is joined by Mark Quigley, Head of Platform Engineering at 90, for a conversation that cuts through the noise around developer productivity metrics and AI. Mark dives deep into how teams can measure what matters—without falling into the trap of turning every measure into a target. He shares how tools like Developer NPS, DORA metrics, and balanced scorecards can help teams optimize for both output and well-being—but only when framed with ...
Humans of Reliability
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. We dig into the culture problems that slow down adoption, the endless cycle of experimentation, and why non-deterministic LLMs don’t fit neatly into traditional web-app architectures. Eduardo also shares what he’s seeing across industries...
