Operations | Monitoring | ITSM | DevOps | Cloud

Ben Baldieri, founder of The GPU, joins Megaport CEO Michael Reid to break down the money, the chips, and the deals behind the AI infrastructure boom. From 5-gigawatt megasites, to the smaller assets Europe is using to compete. The full episode is now live on our channel.

See how Teneo’s CAASM solution, powered by ThreatAware, helps security teams continuously manage and monitor their cyber asset landscape. In this short demo, discover how ThreatAware makes it easier to create focused asset views, identify areas that need attention, and schedule reports to keep teams informed, helping turn cyber asset visibility into ongoing action. Teneo and ThreatAware bring your security data together to help you uncover gaps, improve cyber hygiene, and reduce risk across your attack surface.

See how Teneo Managed DEX helps IT teams identify and resolve Microsoft Teams issues faster, often before they become another service desk ticket. In this Managed DEX example, Teneo shows how Digital Employee Experience (DEX) monitoring and automated remediation can help detect a Microsoft Teams problem, take action and get the employee back to work faster. Teneo Managed DEX helps organizations.

npm and Python get all the security attention, but attackers don't limit themselves to your highest-volume formats. A Docker image, a Helm chart, or a Rust crate can all be an entry point. If your security policy is built around the formats you use most, the formats you've deprioritized become the blind spot. This video breaks down why artifact management needs to be centralized across every package format, not just the popular ones.

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.

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.