Operations | Monitoring | ITSM | DevOps | Cloud

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

That “simple” production database refactor may be more dangerous than it looks. Learn how Data Modeler helps teams minimize the risk. Once a database is live, even simple design improvements can affect data, applications, reports, and integrations in unexpected ways. Tony and Tonie discuss how Redgate Data Modeler helps teams map out the proposed changes visually, expose hidden dependencies, and plan a safer roll out.

Visit: Speedscale.com to learn more.

Stop wasting money on AI API tokens in your local, test, and CI environments. In this demo, I show how to record real LLM responses and replay them for free using proxymock and stop surprise bills.

Most teams obsessing over token costs are measuring the wrong thing. The real savings from AI aren't in lines of code written faster. They're in the coordination overhead that disappears when fewer humans need to align before anything gets built. Chris Kelly, Head of Product at Augment Code, joins Rob to cover why prototypes have replaced specs, how agents enable dynamic team capacity the way cloud replaced over-provisioned servers, and what "good code" even means when your primary reader is an LLM. In this episode.