Operations | Monitoring | ITSM | DevOps | Cloud

Most teams collect the profiles and traffic data that explain a slowdown. Almost nobody has time to read it before users notice. In this Product Highlights conversation, Sylvain Guittard, Senior Director of Product at Upsun who leads the team behind the Upsun console and CLI, breaks down the Upsun Cloud Performance Agent, the first background agent running on Upsun Cloud. His take: "We monitor everything, we feed that into an agent, and the agent will be capable of finding what the bottlenecks are in your application. And on top of it, it gives you a patch, or a way to fix it." We get into.

Anyone can claim an AI agent will fix your performance problems. This demo shows exactly what it looks at and what it hands back. In this Product Highlights conversation, Sylvain Guittard, Senior Director of Product at Upsun who leads the team behind the Upsun console and CLI, runs the Upsun Cloud Performance Agent live on a demo project. His take: "You have a patch that is already available, and a recommendation, so you can see if it fits or not to your context." We get into.

AI models got good enough that teams want to let them loose on the backlog. Then somebody asks who approved that change, what is waiting on a decision, and what the agent actually cost. Upsun Dispatch gives your team and your agents a shared place to work together. It runs on the repository you already have, connects to the tools your team already uses, and keeps a person on the decisions that matter.

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.

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.

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.

Everyone on the team has good coding agents. That is not what made the team fast. The shared repo, the shared docs, and a glossary nobody is allowed to drift from did more than any model choice. In this Product Highlights conversation, Patrick Dawkins, a principal engineer at Upsun who is building Upsun Dispatch under a hard deadline, explains what his team changed to sustain that pace. His take: "As well as the team all having access to the same things and the same vocabulary, all the agents also have access to those docs.".

AI tools made individual developers faster. Teams still aren't shipping more product. That gap is the whole reason Upsun Dispatch exists. In this Product Highlights conversation, Kateryna Dvornichenko, a product manager at Upsun who has spent the past several months building Upsun Dispatch, explains why the tooling market got the unit wrong. Her take: "Making software is a team sport." We get into.

AI helped your engineers ship more code. It didn't help your team ship more product. So where did the bottleneck actually go? In this Product Highlights conversation, Patrick—a principal engineer at Upsun with twelve years building back-end APIs in Go—breaks down what changed once AI agents entered the workflow. His take: "The code isn't really a problem anymore. We can write that really fast. Everything else is still a bit behind the code." We get into.

Leverage AI coding assistants like Claude to develop your application with Upsun. This video goes through the Upsun development flow from cloning your production environment to testing your new code with read data and merging into production. The core task is to add a "Total Revenue" card to an e-commerce dashboard. We will show how a single, complex natural language prompt can orchestrate the entire development lifecycle.