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The Evolution of Blockchain-Based Trading Infrastructures

The Evolution of Blockchain-Based Trading Infrastructures

Dec 18, 2025 By OpsMatters In OpsMatters
Trading in financial markets has always been complex. Many traders face long transaction times, high fees, and reliance on middlemen. These problems slow down processes and make trading less efficient. Enter blockchain technology. Since Bitcoin's debut in 2009, blockchain has changed how trades occur. It provides quicker transactions, reduced costs, and direct peer-to-peer exchanges. This blog will examine its progress from basic systems to advanced solutions like decentralized finance (DeFi). Keep reading to learn how it's making a difference for traders everywhere!
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Top 7 India-Focused AI Programs to Build Business-Ready Skills in 2025

Top 7 India-Focused AI Programs to Build Business-Ready Skills in 2025

Dec 18, 2025 By OpsMatters In OpsMatters
Artificial Intelligence is reshaping Indian businesses through automation, more intelligent decisions, and new products. Leaders who learn to plan and deploy AI see faster cycles and clearer outcomes. In 2025, strong programs balance applied projects with sound fundamentals. The list below prioritizes hands-on work, industry alignment, and clear outcomes for working professionals.
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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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grafana

The year in AI at Grafana Labs

Dec 17, 2025 By Trevor Jones In Grafana
2025 was the year we at Grafana Labs went all-in on AI—and boy, what a year it was. Not only did we establish and start to execute our overarching strategy (build actually useful AI), we also took one of our most exciting new features (Grafana Assistant) from idea to general availability in just nine months! Yes, there's no shortage of articles singing the praises of AI these days, but let's dispense with the hyperbole and focus on some actually useful content.
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