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logicmonitor

Why Evidence-Backed RCA in Edwin AI Starts With Logs

Feb 27, 2026 By Margo Poda In LogicMonitor
A step-by-step look at how Edwin AI uses native LogicMonitor logs, topology, and context to turn root cause analysis from alert-driven inference into evidence-backed investigation. Most root cause analysis today starts with alerts and ends with explanations that sound reasonable but can’t be verified. An alert is fed into a language model, and the output looks like an answer. It often isn’t.
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canonical

Canonical and Ubuntu RISC-V: a 2025 retro and looking forward to 2026

Feb 27, 2026 By Canonical In Canonical
2025 was the year that RISC-V readiness gave way to RISC-V adoption. It’s been quite a journey. What began years ago as early architectural exploration and enablement has matured into real silicon, systems, and deployments. In particular, RVA23 provides a stable and predictable baseline we can align on with our wider ecosystem of partners. At Canonical, we’re committed to making RISC-V a viable option for anyone who wishes to adopt it.
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Technology behind modern video communication platforms

Technology behind modern video communication platforms

Feb 27, 2026 By OpsMatters In OpsMatters
Over the last decade, video communication has evolved from a convenient tool into an everyday necessity. People use it for work, learning, casual conversations and even medical consultations. This rapid adoption has pushed companies to upgrade the underlying communication technologies, making video calls smoother, faster and far more interactive than they used to be. According to several industry reports, global usage of online video services increased by more than 300% between 2019 and 2023, which demonstrates how essential these platforms have become.
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Fix Before You Replace: Smart Appliance Repair Tips

Fix Before You Replace: Smart Appliance Repair Tips

Feb 27, 2026 By OpsMatters In OpsMatters
Kitchen gadgets and laundry units make life easy for busy families. Buying a new machine feels like the only choice when a fridge stops cooling or a washer starts to leak. Replacing expensive units costs a lot of money that could be spent elsewhere. Most modern machines have plenty of life left with the right care and attention. You can save hundreds of dollars by choosing to fix your current gear instead of shopping. Smart owners look at the parts before they look at a store catalog or a sales flyer.
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[Webinar] Conquering the Complexity of Self-Hosted Apps with Agentic AI SRE

Feb 26, 2026 By Komodor In Komodor
Most enterprise SaaS products, like Komodor’s Autonomous AI SRE Platform, require installing a remote agent on the customer’s infrastructure, which varies significantly from one organization to another, in terms of architecture, configurations, permissions, processes, and more. This “unmanaged” model creates major blind spots, making daily operations, observability, debugging, and incident response challenging. When failures occur, limited visibility and bespoke systems make root-cause analysis slow, incomplete, or impossible.
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Stop Vibe Coding Everything: The Case for Spec-Driven Dev

Feb 26, 2026 By GitKraken In GitKraken
Spec-driven development with AI coding agents could change how you build software. In this GitKon 2025 talk, Erik Hanchett, Senior Developer Advocate at AWS, breaks down why AI coding assistants perform dramatically better when they start with structured specifications instead of raw prompts. If you've been vibe coding your way through complex features and wondering why your AI keeps going off the rails, this is the video for you.
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upsun

Inside the architecture: How Upsun delivers 99.99% uptime for AI

Feb 26, 2026 By Upsun In Upsun
For a CTO, "four nines" represents a commitment to keeping production revenue live with less than 0.01% of total downtime per year. As AI workloads move from pilot projects into core production services, the reliability requirements for infrastructure have shifted. AI agents, RAG pipelines, and automated LLM workflows depend on a consistent platform state.
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Managing AI Models and Datasets with Harness Artifact Registry | AI/ML Artifact Management

Feb 26, 2026 By Harness In Harness
Building AI applications often means juggling multiple models, scattered datasets, and version chaos across local systems. But what if you could bring it all together — securely and efficiently — in one place? In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, demonstrates how Harness Artifact Registry makes it easy to manage and govern your AI/ML assets — from models and datasets to prompts and agents — with built-in support like Hugging Face and generic registry types.
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