Operations | Monitoring | ITSM | DevOps | Cloud

DNS Spy Now Has an MCP Server. Ask Your AI About Any Domain.

DNS monitoring should be simple. You want to know if something changed. You want to know if a record propagated. You want to know if a phishing site just went live with your brand name in the domain. But in practice it takes work. You log in to a dashboard. You click through menus. You run a check, copy the output, paste it somewhere else. You repeat that process every time someone on the team asks a question. AI assistants like Claude and ChatGPT could help.

How to ship a POC in an afternoon: a Claude Code and Upsun walkthrough for product and product marketing

I have an Upsun project that's nothing but proofs of concept. It's a dashboard, basically. Each POC gets its own tile. Click in, and you land on a page with three tabs. The first tab is a written explanation of what the POC argues. The second tab is the POC itself, with a built-in demo that automates a walkthrough of the feature so the recipient can watch it run without me on the call.

Scribe Agent updates: no more manual note-taking or lost context

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty Advance Scribe Agent updates (Generally Available) build towards this vision. When a major operational issue hits, there’s always someone drawing the short straw to take on the most thankless job in incident response: scribing the call. Chances are you were already that someone.

What Enterprise AI Gets Wrong About Usage

AI is moving out of the experimental phase and into the everyday rhythm of work. Teams are no longer using it occasionally for novelty or quick wins, but instead are exploring more robust use cases to investigate issues, answer questions faster, surface context, and help them move through complex workflows with more confidence. That’s the shift that most organizations’ leadership teams have been asking for.

Running AI at Enterprise Scale w/ Anthropic, Descope, Port, Rootly and Twingate

The debate about whether AI can write production code is over. Companies are handing work to fleets of agents, and for many, they write most of the code that ships to production. The next challenge is everything that happens once an entire engineering organization runs this way, at full speed. Teams that generate code 10x faster still review it at human speed, and that mismatch is now the constraint. Code ownership is also becoming an issue, as developers learn to trust agentic processes a little too much. When an agent breaks production, who is responsible?

How AI Improves Service Desk Automation and Client Experience

Artificial intelligence is reshaping the IT service desk, moving it from a reactive cost center to a proactive, value-driven business partner. By automating repetitive tasks and providing deep analytical insights, AI helps IT teams resolve issues faster and deliver a superior client experience. This shift allows support staff to focus on more complex challenges, improving both efficiency and employee morale. The result is a more agile and responsive IT support system that directly contributes to organizational success.

Top UK AI Companies Leading Innovation in 2026

The UK AI market continues to grow at an impressive pace, cementing its position as one of the most influential technology ecosystems in the world. The UK artificial intelligence industry generated £23.9 billion in revenue during 2024, while investment in UK AI companies rebounded to £2.9 billion. Organisations looking to capitalise on this growth often work with experienced artificial intelligence consultants to identify opportunities, implement AI technology and align innovation with business goals.

How Krisp Built an AI Note Taker That Actually Improves the Meeting Experience

Every AI note taker on the market starts recording after you click "Join." By then, the problems have already begun. The mic is picking up traffic from an open window. Two people on the call can't understand each other through competing accents. Someone's connection keeps cutting out. The note taker captures all of it faithfully, noise and confusion included, and produces a summary that looks polished but was built on bad audio.

IBM Think 2026 Infrastructure Insights for IT Leaders

IBM Think 2026 made one thing clear: infrastructure leaders are being asked to support more AI, more automation, and faster decision-making without adding unnecessary complexity or risk. Held earlier this month in Boston, IBM Think 2026 focused heavily on enterprise AI, hybrid cloud, automation, governance, and operational transformation.

AI Spend Hit $297B. Nobody Knows Where It Goes.

AI spend doubled to $297B in two years — and most companies can't tell you what any of it shipped. Token spend is disconnected from outcomes on the dev side. Agents in production? The invoice is the only signal. Harness Cloud & AI Cost Management (CACM) gives teams unit economics at the inference level, cross-provider visibility across OpenAI, Anthropic, Bedrock, and Vertex AI, and request-level attribution to the agent, session, or workflow that triggered the spend.