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Agentic CNAI: Orchestrating Cloud-Native AI Agents at Scale
Part 6 - why AI agents belong on Kubernetes, and the agentic CNAI stack that keeps them scalable, observable, and cheap
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Practical, opinionated writing on building AI and data systems that hold up in production.
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Part 6 - why AI agents belong on Kubernetes, and the agentic CNAI stack that keeps them scalable, observable, and cheap
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Part 7 - the new standard that turns 'AI-ready' from a marketing sticker into a test your cluster has to pass
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Part 5 - the practitioner's guide to running CNAI at scale, from a layered reference architecture to the anti-patterns that quietly kill teams
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A short, punchy history of Cloud Native AI (CNAI) - and the CNCF story that made it inevitable
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The mentorship flywheel, TAGs, LFX, and the exact path from 'good first issue' to project maintainer in the world's largest open source ecosystem
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The two protocols under the Linux Foundation that form the foundational layer of every multi-agent system, explained with real examples
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What the three CNCF maturity levels actually mean, how a project climbs them, and how to decide which to trust in production
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One neutral nonprofit hosts the bodies behind Linux, Kubernetes, PyTorch, and agentic AI. Here's the map - and why it's the root of the whole cloud-native world.
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How MCP, goose, and AGENTS.md became the neutral ground for the agentic era - and why it's the fastest-growing project in Linux Foundation history