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.

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.