Operations | Monitoring | ITSM | DevOps | Cloud

If we were to reduce web performance into a single term, it would be “web vitals”. Web vitals are a universal signal that every developer can measure, and more importantly, optimize for. They describe many facets of the user experience when it comes to performance, but they were limited to specific types of navigations. Capturing web vitals for your apps has been largely about users landing on your site from somewhere else. We measured that experience and you optimized for it.

Two-thirds of UK IT leaders say they would switch cloud providers to take back control. Fifteen percent have actually done it. That is the headline from Civo's Digital Sovereignty Revolution 2026, a survey of 1,000 UK IT leaders. The intent is loud and getting louder. The movement is almost silent. It would be easy to call that apathy. It is not. UK organizations are staying on hyperscale infrastructure they no longer fully trust for four very specific reasons. Three of them are structural.

An agent that works on your laptop is borrowing three things it doesn’t own: your identity, your attention, and your judgment. It runs with your credentials and your access. It runs when you trigger it. And when it gets something wrong, you notice and tell it, which is the only evaluation it ever gets. Deploy the same skill to the cloud, unattended and pointed at production, and all three disappear at once.

Purchase order tracking is the practice of following each purchase order (PO) from the moment it's issued until the goods are delivered, invoiced and the order is closed. Procurement, finance and IT teams use it to know what was ordered, what arrived and what is still pending. In IT, the trail runs one step further: every laptop, monitor or server on the order ends up as a device with a serial number that someone has to register in the inventory.

Why does everything crawl at peak hour, even though every switch looks fine? Calls break up and file copies stall. Then the tickets arrive, each one some version of "the network is slow." It's rarely one broken device. A WAN link maxes out for an hour with voice packets queued behind a backup job. Last week's config change hasn't been linked to any of it yet. Network optimization sorts this out one measured step at a time, starting with performance monitoring.

Serverless should be the first execution model teams evaluate for AI agent workloads. Many agents spend much of their lifetime waiting, and always-on compute forces teams to pay for every idle minute. In a study of more than 35,000 production coding-agent sessions, the median session ran LLM or tool calls for only 20% of its lifetime. The rest of the time, it sat idle between steps, with its sandbox still allocated.

A voice agent can return the right words and still deliver a poor experience. It might leave a caller in silence, speak over them, or stop midway through a response. A transcript may look correct even when the audio the user heard was delayed, incomplete, or different from the text on screen. These problems are difficult to diagnose from text traces alone. Voice conversations also involve more than a single request and response.

In September 2026, OpenAI reported finding self-replicating prompt injections. These attacks hide instructions in content an AI agent retrieves, directing it to take unauthorized actions and copy those instructions into emails, files, or messages. Copied instructions can then expose other agents or later sessions to the same attack, giving it the potential to spread like a computer worm.

FortiGate, PAN-OS and Zscaler now each have a six-dashboard pack in the Dashboard Library, live on every Logs stack. If your firewall logs already arrive as parsed module fields, the Library pre-selects the matching pack. If they don't, it won't, even when the firewall has been sending syslog for years. This post is about that gap: which parsed fields each pack reads, the Filebeat module settings that produce them, and the API checks that tell you whether the dashboards will fill before you install them.

When a ticket reaches an experienced technician, the issue is supposed to be closer to resolution. Too often, the escalation starts the investigation again. The technician reads the history, checks what L1 attempted, opens the CMDB, searches past incidents, and pulls logs. The fix itself may take two minutes, but reconstructing the situation can take far longer. Real-time agent assist targets that gap.