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How to Generate a New Puppet Module with VS Code and GitHub Copilot

Feb 12, 2026 By Perforce Puppet In Puppet
Revolutionize your infrastructure by leveraging AI tooling in the Puppet ecosystem. In this technical demonstration, we explore how to significantly reduce the time required to create new Puppet modules using Visual Studio Code, GitHub Copilot, and the Puppet Model Context Protocol (MCP) server.
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Will humans be replaced by AI? The truth

Feb 12, 2026 By Elastic In Elastic
Agentic AI doesn’t replace analysts, it augments them. The real value comes from making teams more efficient, not smaller. This is the perspective most people miss. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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coralogix

Troubleshooting & RCA with Olly

Feb 12, 2026 By Lily Waldorf In Coralogix
If troubleshooting still feels harder than it should, check on these two numbers: how many dashboards you have, and how many alerts fire every day. For most teams, it’s hundreds of dashboards and thousands of alerts, a sign of maturity, coverage, and good intentions. On the other hand, we also see that when something actually breaks, that coverage rarely turns into clarity fast enough.
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xMatters

Turning Data Into Decisions with the xMatters Incident AI Agent

Feb 12, 2026 By Jon Skog In xMatters
When an incident hits, the gap between awareness and action can make all the difference. Responders know the pain: endless tool-switching, chasing updates, and fragmented data. It’s not a lack of capability that slows response; it’s the lack of context and connection. That’s why we built the xMatters Incident AI Agent, a purpose-built, conversational assistant that brings intelligence and automation directly into the heart of incident response.
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cloudzero

Sustainable AI Investment: A Systems Thinking Approach

Feb 12, 2026 By Adam Tankanow In CloudZero
According to our new report, FinOps in the AI Era: A Critical Recalibration, 40% of companies now spend $10M or more annually on AI. Most can’t tell you if it’s working. That’s not a budgeting problem. It’s a systems problem. And Donella Meadows wrote the playbook for understanding it.
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cloudzero

The AI-nigma: FinOps Is Maturing - So Why Is Cloud Efficiency Falling?

Feb 12, 2026 By Larry Advey In CloudZero
Q: What do you call it when FinOps maturity surges but cloud efficiency plummets? A: An AI-nigma. I don’t claim to be a comedian. But I do claim to be Fred FinOps, so the paradoxical findings from CloudZero’s new report titled FinOps in the AI Era: A Critical Recalibration, created in partnership with B2B SaaS benchmarking firm Benchmarkit, had me scratching my head. The good news: These numbers tell a story of cloud cost maturity and control. But then there’s the bad news.
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cloudzero

Surging AI Costs Are Eroding Business Efficiency: New CloudZero Report

Feb 12, 2026 By Michelle Dufty In CloudZero
What do 475 senior leaders across software, financial services, cybersecurity, and other industries all have in common? They have little to no idea whether their AI investments are paying off. CloudZero just released FinOps in the AI Era: A Critical Recalibration, a report assessing the state of cloud and AI spending. Culled from hundreds of responses from people directly accountable for cloud spending, the report shows that while FinOps maturity is accelerating, cloud efficiency is plummeting.
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Safe Vendor Demos - How to Share Video Samples Without Disclosing Personal Data

Safe Vendor Demos - How to Share Video Samples Without Disclosing Personal Data

Feb 12, 2026 By OpsMatters In OpsMatters
Evaluating a video-focused software vendor often requires sending "real" footage excerpts. This is also the moment when it's easy to overshare data - samples may include bystanders' faces, employees, minors, license plates, and contextual details that enable identification. The most practical way to reduce risk is to anonymize visual data before sending it outside the organization - usually by blurring faces and masking license plates.
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