Operations | Monitoring | ITSM | DevOps | Cloud

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.

In this episode, Leon explores some of the new features, functions, updates, and improvements in release 4.19.1, which includes private links, setting a region per workspace, choosing a release channel per workspace, and a look at Output Routers, an incredibly useful (but unfortunately under-loved) feature that’s been around for a hot minute.

Managing separate help desks for different departments can make support harder to keep consistent. Each team may have its own processes, tools, and data, while employees have to figure out where to go for help. InvGate Service Management brings those teams together in one platform. IT, HR, Finance, Maintenance, and other departments can manage their services from the same place, with shared processes, centralized data, and a single point of contact for employees.

Give one agent every tool and every incident is a question of trust. This one hands each job to a worker that can only reach what that job needs. One AURA configuration defines a coordinator and three specialist workers. Qdrant stores the runbooks, Prometheus measures workload health, and Kubernetes provides inspection and remediation, and each of the three is wired to one worker.

"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.

When should you reach for Grafana MCP? It’s one of the two “hands” in Grafana’s AI toolkit — and the easy one at that. MCP lets you bring Grafana into the tools you already use, like ChatGPT, Claude, or Cursor, without changing your workflow. No terminal? MCP. Want to stick with your favorite AI tool? MCP. Want easy tool discovery out of the box? MCP. Here’s where it fits, and when to use it — explained by Nicole van der Hoeven.