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The 5 Spark Use Cases That Shrink Service Desk Demand
Gartner predicts that by 2029, agentic AI will autonomously resolve 80% of common customer service issues, reducing operational costs by 30%. That shift points toward a zero-friction workplace, where employees do not have to navigate support just to get back to work.
Who's on call? How Claude helped us calculate this 2,500x faster
Schedules are a core part of any on-call system. In ours, they define who to page and when. But people use them in lots of other ways too: checking their next shift, asking for cover while at the gym, keeping a Slack user group up to date, or updating a Linear triage responsibility. For many of our customers, they’re one of the main ways they interact with our product, and as they’re such a foundational part of On-call, it’s very important they work well.
Introducing Seer Agent: The answer is already in Sentry. Now you can ask for it.
This is a story about an engineer’s night that could have been bad, but ended up… not so bad. A few weeks ago, on a Saturday, our AI debugger, Seer, started failing. Note the big scary spike on the right. The errors were generic failures from the LLM calls, nothing that pointed at a root cause. Most of the team wasn’t scheduled to be on this weekend, and it just so happened Indragie, our Head of AI, was online. He started paging engineers.
Context-Driven AI You Can Trust: How Edwin AI Earns Confidence in Production
Most legacy AIOps investments underdeliver because the AI lacks context, not capability. LogicMonitor’s latest innovations expand Edwin AI’s contextual intelligence across every dimension, so recommendations are accurate, explainable, and trusted by the teams that need to act on them. Reduce incident resolution time with AI that understands your environment—not just your alerts.
LogicMonitor Advances Autonomous IT with No Blind Spots, Trusted AI, and Closed-Loop Action
LogicMonitor is advancing Autonomous IT with one platform that brings together complete visibility, AI with context, and governed action across the digital environment. In this announcement video, Andrew Keating shares how LogicMonitor is helping enterprises reduce blind spots, trust AI more, and move from detection to action. Modern IT teams are managing more complexity, more tools, and more noise than ever. That’s why LogicMonitor is bringing infrastructure observability, Internet performance, digital experience, and AI-driven operations together in one platform.
LogicMonitor Advances Autonomous IT with No Blind Spots, Trusted AI, and Closed-Loop Action
LogicMonitor’s latest innovations span the entire platform to deliver the operational foundation enterprises need for Autonomous IT—complete visibility from infrastructure to end user, AI that reasons in full context, and closed-loop automation that moves from detection to resolution. Over 90% of organizations rely on at least two to three monitoring solutions—and many enterprises operate five or more.
Stop watching the looms: why the AI era belongs to infrastructure
I live in Manchester, England now. I moved here from Texas last summer (which is its own story), but the thing I wasn't prepared for is how the Industrial Revolution isn't history here. It's the city itself. And if you're American like me, you might need to hear this: the Industrial Revolution didn't start in the US. It started here. Manchester is where the modern world was born. You see it everywhere. The old cotton mills converted into apartments.
Your AWS Kiro Agent Can Now Query CloudZero. Here's What To Ask It
CloudZero's new AWS Kiro integration puts cost intelligence directly in your agentic IDE. Ask plain-language questions about spend, attribution, and cost-per-serve without leaving your development workflow. We see a similar pattern playing out across engineering teams running agentic development tools: code gets shipped fast, something moves in the cost data, and understanding why still requires leaving your environment entirely.
Your CEO Wants You To Ramp AI Usage Without Breaking Budgets. Here's How You Can Do It
Notes from a finance leader whose job this is. A few weeks ago, I traveled to Philadelphia for a conversation with a prospective CloudZero customer. We’d been working with the prospect’s engineering team for some weeks, demoing our platform in view of the RFP they’d drawn up. This stage had gone well, and so the next step was talking it over with the prospect’s CFO. We expected a conversation centered around the key criteria in the RFP.