Operations | Monitoring | ITSM | DevOps | Cloud

Join Jimil Patel, Head of Technical Product Marketing and Developer Advocacy at Intuit, as he shares the company's transformative journey from cloud-native to AI-native, resulting in a 6x increase in developer velocity. Recorded at Civo Navigate Austin 2025, this talk explores Intuit's Modern SaaS AIR platform, AI-powered developer tools, intelligent auto-scaling, and AIOps-driven operations. Discover how Intuit is redefining the future of software development with real-world examples, including IKS AIR for self-healing runtimes and AI-driven observability, which cut MTTR by 50%.

Learn how to get started with Puppet Infra Assistant quickly with a step-by-step guide and examples. Infra Assistant makes it easier to interact with Puppet data and services with a natural language interface. It's "bring your own key" with support for OpenAI and Azure OpenAI (with more coming soon), and secured with opt-in requirements and role-based access control.

Finding critical infrastructure insights shouldn't be a game of hide-and-seek. The new AI-powered Infra Assistant is a natural language interface that allows users of any skill level to chat with Puppet data and services for quick insights and reporting on infrastructure state. You don't need any Puppet experience to get started; it's safe to use in your infrastructure; and it's secured with explicit opt-in and robust role-based access control.

With application performance monitoring and statistics, Sentry.io predicts expected values for any metrics query—and alerts you when your app’s performance falls outside the norm.

The idea of deliberately introducing failures into your systems to test for weaknesses—what’s known as chaos engineering—can be intimidating. But what if you could evaluate resilience without actually breaking anything?

The AI revolution needs more than models - it needs massive infrastructure. And Julien Gauthier is building it. In this episode of Uplink, Julien, CEO of Arkane Cloud, joins host Michael Reid to unpack how his company scaled from 3D rendering and gaming to delivering GPU cloud services for AI workloads across the globe. We explore how Arkane built a 1,000-GPU cluster in Paris (with capacity for 6,000), the rise of inference workloads in Europe, and the real-world engineering and business challenges of deploying high-density infrastructure - including cutting-edge liquid cooling handling 135kW per cabinet.