Operations | Monitoring | ITSM | DevOps | Cloud

Small businesses are now among the most frequently targeted organizations in the world. Attackers focus on them not because they have the most to steal, but because they tend to have fewer defenses, smaller teams, and less time to spend on security. The good news is that the majority of attacks rely on a small set of well-understood techniques, and most of them can be prevented or contained with practical, affordable controls.

At Sentry, we’re obsessed with things not breaking. It’s kind of our whole deal. But for a while, our own marketing site was testing that obsession. Much of what you see on sentry.io (the marketing site, blog, open source microsite, etc.) were running on a fleet of legacy Gatsby sites powered by a traditional headless CMS. On paper, it worked.

Visibility without control is just expensive awareness. Most IT teams can see when something’s wrong, but can’t easily tell who’s affected, why, or what to do next. In other words, they lack real control. In this in‑depth session, LogicMonitor’s Callum Brown and Brandon Delap showed how to move past that.

Only 14% of CFOs can prove AI ROI. OpenAI’s gross margin fell from 40% to 33% in 2025, well below its 46% target. Even the AI providers cannot reliably predict what AI will cost. Companies are scaling AI faster than they can measure it: more tokens, more agents, more model calls, more spend moving through systems finance cannot yet see. Every board is asking the same question: What is this AI investment returning? Most companies cannot answer it. The ones that can will compound their advantage.

Gartner forecasts $2.6 trillion in global AI spend this year. Most of it lands in invoices that don’t connect dollars to the developers who spent them, the customers they served, or the features they shipped. AI billing is a mess. CloudZero is the financial control plane for AI spend. Three capabilities, available today, reveal the by-customer, feature, and developer ROI of AI: 1. Real-time Spend: Capture every dollar spent on AI, at the source. 2.

Autonomous IT shifts enterprises from reactive to proactive operations“By combining AIOps, agentic AI, predictive analytics, and self-healing automation, Autonomous IT helps organizations detect issues early, automate remediation, and prevent downtime before it impacts customers or revenue.

Most network teams monitor uptime. A lot of them track CPU. Almost none of them consistently monitor memory utilization on routers, firewalls, and switches, and that gap causes more unexplained outages and intermittent issues than most people realize.

Security teams are drowning in vulnerabilities. We’re talking tens of thousands of findings per quarter. Hundreds of thousands at larger organizations. Today's IT environments have no boundaries and span across every OS platform. Managing and securing that estate in a linear fashion is no longer viable, and neither is a vulnerability remediation process that treats every fix as a simple, low-impact task.

A new attack technique called Underminr was disclosed this week. It slips past protective DNS by abusing shared CDN edge IPs. The DNS query looks clean. The connection lands on malware. This post walks through what Underminr is, why protective DNS misses it, what actually stops it, and the OTHER DNS layer most teams forget to watch.

Companies are shipping AI features at a pace cloud teams have rarely seen. New agents, new copilots, new flows powered by language models, all moving from prototype to production in weeks. The spend that comes with it is real and accelerating, and most teams are seeing it on the invoice before they see it anywhere else. The question is no longer how much you're spending on AI. It's whether each dollar is producing a real outcome, and whether you can govern that spend before the next invoice arrives.