Operations | Monitoring | ITSM | DevOps | Cloud

As mission requirements evolve, federal agencies and defense teams need infrastructure supporting AI/ML workloads anywhere, from secure cloud environments to disconnected edge locations. In this fireside chat, Mark Lewis (VP, Application Services at Canonical) and William Crum (Senior Defense Success Engineer at SpectroCloud) discuss how their organizations are helping federal customers deploy secure, scalable, and consistent Kubernetes and AI infrastructure across hybrid and edge environments.

In this episode of Azure on Air, we sit down with James Reed from West Coast Cloud to talk about how MSPs and CSPs are actually managing Azure costs - not with another dashboard, but with real tools and automation that clients can trust.

Alan Mon introduces Proxy Mock, a powerful tool for capturing and replaying API calls. Learn how to effortlessly record inbound and outbound API requests and responses. The demonstration highlights how Proxy Mock operates entirely on your local machine, eliminating the need for cloud services or internet connectivity for testing. See how to set up Proxy Mock, inspect captured API calls (including request/response headers, body, and unique signatures), and leverage it to mock API responses for seamless local testing, ultimately boosting productivity and reducing the need for costly non-production environments.

When you focus on creating products people love rather than protecting how you work, AI becomes your ultimate creative accelerant. Rapid exploration, faster iteration, and the ability to try multiple ideas quickly.

The economics of building software are changing everything. For years, entrepreneurs used "painted doors" - fake features to test demand - because building was too expensive. But when AI drops development costs, you can create real prototypes and gather genuine user data instead of pretending. This mindset revolution treats experiments like cheap option contracts - the lower the cost, the more you can explore. Ready to abandon painted doors for unlimited experimentation?

When AI makes prototyping incredibly cheap, your old quality standards become a bottleneck. The key mindset shift? Quality doesn't matter equally everywhere. You can experiment with lower-quality prototypes to learn faster, then apply high standards only to what customers actually see. This isn't about lowering standards - it's about applying the right quality mindset at the right stage. Stop letting perfectionism slow down your learning phase.