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logicmonitor

Context-Driven AI You Can Trust: How Edwin AI Earns Confidence in Production

Apr 28, 2026 By Andrew Keating In LogicMonitor
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.
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LogicMonitor Advances Autonomous IT with No Blind Spots, Trusted AI, and Closed-Loop Action

Apr 28, 2026 By LogicMonitor, Inc. In LogicMonitor
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.
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logicmonitor

LogicMonitor Advances Autonomous IT with No Blind Spots, Trusted AI, and Closed-Loop Action

Apr 28, 2026 By Garth Fort In LogicMonitor
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.
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upsun

Stop watching the looms: why the AI era belongs to infrastructure

Apr 28, 2026 By Upsun In Upsun
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.
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cloudzero

Your AWS Kiro Agent Can Now Query CloudZero. Here's What To Ask It

Apr 28, 2026 By Max Kelman In CloudZero
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.
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cloudzero

Your CEO Wants You To Ramp AI Usage Without Breaking Budgets. Here's How You Can Do It

Apr 28, 2026 By Dan Carducci In CloudZero
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.
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iOPEX

Why Your Agentic AI Aspirations Need to Evolve from Models to a Workflow Data Fabric

Apr 27, 2026 By iOPEX Technologies , In iOPEX
Enterprise conversations today are dominated by one phrase: Agentic AI. Across boardrooms and innovation labs, organizations are experimenting with copilots, autonomous agents, and AI bots capable of resolving tickets, recommending actions, and orchestrating complex processes. The promise is real — AI that doesn't just generate insights, but takes meaningful action. Here's the uncomfortable truth: most enterprises are architecturally unprepared for the agentic future they're trying to build.
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canonical

Understanding disaggregated GenAI model serving with llm-d

Apr 27, 2026 By Rob Gibbon In Canonical
llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when you chat with ChatGPT or Gemini, you’re talking to an LLM. Simple LLM deployments – where an LLM is deployed to a single server – can suffer from latency issues, even with just one user. This can be because of lack of memory-bandwidth on the server, or because of KV cache pressure on system memory.
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pagerduty

SRE agent vs. traditional engineer: 7 key differences

Apr 27, 2026 By Sam Chun In PagerDuty
The role of a Site Reliability Engineer (SRE) is evolving. The focus has shifted from simply working harder during an outage; A new kind of teammate is here to help: the SRE Agent. But what are the key differences when you compare an SRE agent versus a traditional site reliability engineer? This isn’t just a superficial change. It signifies a fundamental alteration in how teams construct and sustain dependable services.
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Live Runtime Investigation in Claude Code with Lightrun MCP

Apr 27, 2026 By Lightrun In Lightrun
In this video, Lightrun’s Dan Putman demonstrates what happens when Lightrun MCP is integrated within Claude Code. See how, once activated, Claude can ask specific questions about what services it can see and instrument in order to perform a deep investigation in production to get to a validated root cause analysis without the friction of redeploying or switching contexts.
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