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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.