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Forget the Hype-Kelsey Hightower on What's Next in AI & Cloud Computing

Mar 5, 2025 By Civo In Civo

Kelsey Hightower takes the stage at Civo Navigate San Francisco 2025 to explore the evolving world of AI, cloud computing, and Kubernetes. In this insightful discussion, he shares his thoughts on data sovereignty, AI adoption, security challenges, and the future of cloud technology. Recently joining Civo as a Board Director, Kelsey discusses his vision for reimagining cloud computing, the impact of AI agents, and what developers need to focus on in an increasingly AI-driven world.

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How Technology Can Help You Choose the Right Career

Mar 5, 2025 By OpsMatters In OpsMatters

Selecting the right career can feel like navigating a maze. With numerous paths to consider, the traditional ways of career selection, such as word of mouth or guidance from teachers, often fall short of providing the clarity needed today. Thankfully, technology has evolved to offer us a treasure trove of resources that make this daunting task easier and more precise. This article explores how various technological advancements can significantly influence your career decision-making process.

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N-able's Second Annual MSP Horizons Report Shows Significant Growth Opportunity for Global MSPs with Cybersecurity Leading the Way

Mar 4, 2025 By N-able In N-able

Research highlights key disruptive trends including the buildout of true cyber resilience, as well as compliance, co-managed, and AI.

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How I Code With LLMs These Days

Mar 4, 2025 By Phillip Carter In Honeycomb

I first started using AI coding assistants in early 2021, with an invite code from a friend who worked on the original GitHub Copilot team. Back then, the workflow was just single-line tab completion, but you could also guide code generation with comments and it’d try its best to implement what you want. Fast forward to 2025. There’s now a wide range of coding assistants that are packed with features.

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When AI tools fail: How to map your AI dependencies for proactive visibility

Mar 4, 2025 By Ankit Kumar In Catchpoint

AI platforms have experienced several service interruptions over the past few months. We’ve all seen the memes fly when ChatGPT, Gemini or Perplexity go down. They’re funny at first, but then reality hits: if you rely on AI tools for work or business, these outages can grind your day to a halt.

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Unlock Passive Income with Smart Cloud Mining: The Future of Cryptocurrency Investment

Mar 4, 2025 By OpsMatters In OpsMatters

In the fluctuating cryptocurrency market, AI cloud mining is gradually emerging as a new choice for investors. Compared to traditional mining, cloud mining is favored for its straightforward operations and substantial gains.

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AI: Where in the Loop Should Humans Go?

Mar 3, 2025 By Fred Hebert In Honeycomb

AI is everywhere, and its impressive claims are leading to rapid adoption. At this stage, I’d qualify it as charismatic technology—something that under-delivers on what it promises, but promises so much that the industry still leverages it because we believe it will eventually deliver on these claims. This is a known pattern.

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Splunk AI Assistant for SPL app Overview

Mar 3, 2025 By Splunk In Splunk

Learn and write SPL faster with the Splunk AI Assistant for SPL. New to SPL? Have users who are new to SPL? No problem! Check out the video to learn how you can leverage the power of generative AI to easily write and explain SPL queries using natural language.

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AI Agents: Hype or Reality?

Feb 28, 2025 By Dan Mindru In Sentry

A few years ago, it was all about Blockchain; before that, IoT, then Big Data, and even earlier, the Cloud. Each era brought a paradigm shift of sorts, drawing huge investments and promises. Some delivered, some didn’t, but they each brought advancement in tech. Today, we find ourselves fully embracing the AI hype cycle that started circa 2022 with OpenAI.

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Improving Resilience for GenAI Workloads on AWS

Feb 28, 2025 By Gremlin In Gremlin

GenAI can do incredible things, but like any technology, its success depends on how we implement and use it. Without proper implementation, GenAI failures can pose significant risks to your organization's reputation and customer trust, leading to real financial impact. And like any other application, regulatory rules, SLAs, and reliability standards still apply to GenAI. With more companies integrating GenAI into their systems and products, it’s essential to make sure GenAI workloads and applications are highly available to deliver an exceptional user experience.

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