Operations | Monitoring | ITSM | DevOps | Cloud

This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Staff Product Design Engineer Ben Darlow demos improvements to Workspace Home. Staff Software Engineer Sonia Aguilar and Principal Software Engineer Sven Großmann also demo a new dependency graph view for Investigations. We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)

Government payment fraud is a fast-growing risk for public sector organisations in Australia and globally. From welfare and healthcare payments to business grants and disaster relief, increasingly sophisticated organised criminal networks and other actors exploit complex, high-volume government programs to unlawfully access public funds. The impact is significant—billions lost, program integrity undermined, and essential resources diverted.

Next.js applications can be challenging to debug in production. It’s not always clear where an issue originated or how it impacts users. Hydration errors, server component failures, and performance bottlenecks don’t always come with clear answers.

Spin up a GPU workload cluster using Konstruct's new GPU cluster templates, deploy a self-hosted LLM, and use it in your organization — all live on stream. This hands-on session shows how shipping AI workloads to GPU clusters is just as easy as deploying to Konstruct physical or virtual clusters, and how open source apps in the GitOps Catalog make it even faster. Walk away knowing how to cut your token spend by running models privately on your own infrastructure.

Most cloud providers think AI is just a hardware problem. They focus on the GPUs, the racks, and the raw compute, but they leave the strategy up to you. At Civo, we do AI differently. We don't just provide the hardware; we guide you through the full life cycle of AI adoption, from initial planning to scaling production workloads. By leveraging best-in-class NVIDIA models and GPUs, we give you the performance to unlock AI at scale without the fear of being bogged down by complexity. It's more than infrastructure, it’s cloud freedom with AI built-in.

In this episode, Leon explores a bunch of BYO (bring your own) enhancements to Cribl including the ability to bring your own AI model, storage, and more.

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.

The April rewind is here!

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.

Visit: Speedscale.com to learn more.