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cortex

A framework for measuring effective AI adoption in engineering

Dec 17, 2025 By Ganesh Datta In Cortex
These days, engineering leaders find themselves caught between a rock and a hard place. On paper, AI adoption looks like an unqualified success. Developers are shipping more code faster than ever, pull request volumes are up, and teams report feeling more productive. Their leaders rush to LinkedIn to share their plans to scale adoption because their teams are just so much more efficient. But then, the incidents and bug reports start piling up.
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harness

Knowledge Graph + RAG: A Unified Approach to DevOps Intelligence

Dec 17, 2025 By Sunil Gattupalle In Harness
Knowledge graphs and RAG (Retrieval-Augmented Generation) are complementary techniques for enhancing large language models with external knowledge, and each brings unique strengths for DevOps use cases. While they are often mentioned together, they are fundamentally different systems, and combining them delivers far better outcomes than relying on either approach alone.
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ScienceLogic

Gisual Enters the Stack: Power, AI, and the Next Phase of Observability

Dec 17, 2025 By ScienceLogic In ScienceLogic
ScienceLogic recently partnered with Gisual—a leader in AI power intelligence­—to bring real-time power insight directly into the ScienceLogic AI Platform. On the surface, that might sound like a straightforward integration story. In reality, it signals something much bigger: observability continues to expand well beyond the digital stack, and operators now treat power as a first-class operational signal.
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signoz

OpenTelemetry Agents - The Complete Beginner's Guide (2025)

Dec 17, 2025 By Dhruv Ahuja In SigNoz
If you search for “OpenTelemetry Agent”, you will likely encounter two completely different definitions. This ambiguity often leads to confusion between infrastructure teams and application developers. SREs and DevOps engineers would describe it as a component deployed as a sidecar, whereas application developers would understand it as a language-specific library. Let’s break it down in the next section.
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Komodor

Building Trust in AI-Powered Kubernetes Ops: Why "Good Enough" Is a Production Killer

Dec 17, 2025 By Itiel Shwartz In Komodor
The air in the operations world is thick with AI and LLMs. EVERY vendor is rushing to slap an “AI-powered” badge on their product. But here’s the uncomfortable truth: In high-stakes Kubernetes operations, one bad AI recommendation can destroy months of trust-building in an instant. We aren’t building a chatbot to suggest recipes. We are building systems that, armed with kubectl permissions, have the potential to take down production with a single, wrong command.
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Intelligent Systems Powering the Next Generation of Online Retail

Intelligent Systems Powering the Next Generation of Online Retail

Dec 17, 2025 By OpsMatters In OpsMatters
Online retail is no longer driven only by attractive storefronts and competitive pricing. Behind every smooth shopping experience sits a complex network of decisions that must happen instantly and at scale. From predicting demand to responding to customer behavior in real time, cognitive AI agents are becoming a foundational layer that helps ecommerce businesses operate with speed, accuracy and consistency.
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Struggling With Customer Drop-Off? AI Insights Can Help You Fix It Fast

Struggling With Customer Drop-Off? AI Insights Can Help You Fix It Fast

Dec 17, 2025 By OpsMatters In OpsMatters
Are you noticing more customers slipping away than sticking around? It's frustrating, right? Customer drop-off can feel like a mystery, but the good news is-it doesn't have to stay that way. Thanks to smart AI insights, you can quickly spot where things are going wrong and fix them before it's too late. Imagine having a clear map showing exactly why customers leave and what you can do to keep them coming back.
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No-Code AI Tools That Are Changing Digital Marketing Forever

No-Code AI Tools That Are Changing Digital Marketing Forever

Dec 17, 2025 By OpsMatters In OpsMatters
Artificial intelligence is no longer limited to data scientists or enterprise teams with large development budgets. Over the past few years, a new wave of no-code AI tools has emerged, allowing marketers to automate tasks, generate insights, and optimize campaigns-without writing a single line of code. For digital marketers, this shift is transformational. No-code AI tools reduce execution time, lower costs, and empower teams to focus on strategy rather than manual work. More importantly, they level the playing field, allowing small and mid-sized businesses to compete with larger brands.
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