Operations | Monitoring | ITSM | DevOps | Cloud

AI agents don't need a server sitting there while they wait for the next prompt. They need infrastructure that shows up, does the job, and disappears. In this Product Highlights conversation, Nicolas Gommenginger, director of product at Upsun with more than four years leading the platform's core functionality, breaks down Upsun's newest primitive: task containers. His take: "What really triggered us to go ahead and implement it is the rise of AI agents, because tasks are something ideal for running them." We get into.

Most teams are paying for a container that stays awake all week to run one job on Friday. Task containers are the fix: they spin up on an API call, run exactly one command, then remove themselves. In this Product Highlights conversation, Corey Dockendorf, a senior solutions architect at Upsun with most of 25 years in tech behind him and five at the company, breaks down how ephemeral task containers cut idle spend and give AI agents production context without production access. His take: "They spin up when they're triggered directly by an API call.

A preview link with an empty database tells you almost nothing about a content-managed site. Most teams find that out the expensive way, in front of a client. In this Product Highlights conversation, Andrew Kester, a senior cloud support engineer at Upsun whose team handles everything from product questions to sites under active attack, twenty four hours a day, every day of the year, breaks down why cloning services and data into every environment is the feature he would have paid for at his old agency job. His take: "You click a button. We clone your services. We clone the data." We get into.

"Hey, I built this over the weekend. I want to get it in front of customers." And it always hits architecture, security, and infrastructure. Ross Hendrickson, CTO at Inspectiv, calls that gap the chasm. His team crosses it on Control Plane: AI-written code secured, reviewed, and released in a day. Control Plane combines AWS, GCP, Azure and your own hardware into one virtual cloud shaped to your workloads.

Platform teams spend 6–12 months building the thing Konstruct gives you on day one. Secrets, certs, DNS, cluster provisioning, then doing it all again for the next team, the next cloud. Konstruct is one control plane that scales from a solo builder to a hundred-person platform org, without you ever re-architecting. Climb the responsibility ladder on your terms, hosted app, hosted cluster, hosted control plane, fully self-hosted. You decide where the line sits.

AI agents are moving fast. For enterprises, the bigger question is how to make them useful, trusted, and safe enough to take action. In this episode of Agents of IT, Zach Austin and Ian Coppock unpack what it takes to move from experimenting with AI to operationalizing agentic AI across the enterprise. They explore why organizations are racing to deploy AI before defining the problems they want to solve, why governance and scoped responsibilities are critical, and why the real value of AI comes from fixing and orchestrating the workflows underneath it.

Join Terry Chevalier, Founder and Managing Director, Sunstone Associates to explore why rural markets are emerging as AI hotspots, what Neocloud developers need, and how broadband providers can capitalize on this growing opportunity.