Operations | Monitoring | ITSM | DevOps | Cloud

Your engineers don't suddenly become less valuable because they hit a token cap.

Your team's best ideas shouldn't get lost between the doc, the ticket, and the meeting recording — but that's exactly what happens when AI lives outside your workflow. Teamwork Collection by Atlassian puts AI agents and your team on the same page — literally. Ideas flow to execution, agents pull context from your actual projects, and the line between "human work" and "AI work" starts to disappear.

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.

Most AI agents fail in real operations. Too many systems. Too many edge cases. If it needs babysitting, it’s not ROI. Zero Ticket means automation that resolves work end to end.

One of the most powerful capabilities in K8s is the ability to autoscale resources to meet demands, scaling resources up during peak periods to ensure performance, and down again during lower periods to save money. In this joint session, Lucidity and Kubex walk through what end-to-end K8s optimization looks like when you address both layers together. We cover: Expect real examples, not slides full of theory. You’ll leave with a clear picture of where waste is hiding in your environment and a prioritized approach to addressing it.

What is Ubuntu Core? Ubuntu Core is a minimal and strictly confined variant of Ubuntu powering devices around the world. Ubuntu Core 26 now integrates with the Canonical Observability Stack, streaming device logs and metrics to centralized Grafana, Loki, and Prometheus infrastructure, deployable in the cloud or on-premise, without burdening the device's primary workloads.

GitKraken Desktop 12.0 Live: Agent Mode, Real Workflows, No Filters.

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.