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How do we define production readiness for AI?
Organizations achieve production-readiness for AI when they meet a multi-dimensional standard of platform maturity. Panelists agreed the most important signal is alignment with the Kubernetes AI Conformance program, which identifies the essential primitives for serving and training AI at scale, guaranteeing interoperability across environments. Readiness requires three key elements: Platform Maturity: This includes providing robust support for research scientists and Python users who need specialized environments.
Security by Design: Security must be a priority from the start, particularly fo
Cloud native is now AI-native: Engineering production-ready AI
cncf.io › blog › 2026 › …
Navigating the ingress-nginx archival: why now is the time to move to Cilium
…Rather than patching together point solutions, this is your opportunity to adopt a unified, eBPF-powered platform built for performance, visibility, and security . Cilium gives you: A drop-in Ingress replacement : Minimal…
Jan 27, 2026
cncf.io › blog › 2026 › …
Ingress NGINX retirement: Experience from end users
…When certain configurations add a lock-in to a specific plugin or provider, ensure this is properly documented and understood internally, both in the platform and end user teams. The requirement to…
Apr 2, 2026
cncf.io › blog › 2026 › …
The AI-driven shift in vulnerability discovery: What maintainers and bug finders need to know
…This is a big change for the industry. We can get through this, but only if we work together, and work smart. Contributors: Brandt Keller (CNCF Security TAG, Defense Unicorns), Chris Aniszczyk…
Apr 16, 2026
cncf.io › blog › 2026 › …
Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms
…A single cluster cannot span these geographies, and a manually managed fleet will quickly break teams. What is required is a resilient platform layer that handles cross-site networking and heterogeneous hardware…
Jun 8, 2026
cncf.io › blog › 2026 › …
Why Kubernetes policy enforcement happens too late—and what to do about it
…Across organizations of all sizes, a surprisingly large share of reliability and security incidents don’t originate in application code. They originate in misconfigured infrastructure—missing resource limits, overly permissive security contexts…
May 25, 2026
cncf.io › blog › 2026 › …
Mumbai Maha Mahotsav - KubeCon + CloudNativeCon India edition
…That energy is contagious, and it will be in the room at KubeCon. Whether you are here for platform engineering, AI infrastructure or supply chain security – there is substance on the schedule…
Jun 2, 2026
cncf.io › blog › 2026 › …
How Jaeger is evolving to trace AI agents with OpenTelemetry
…the Model Context Protocol (MCP) , Agent Client Protocol (ACP), and Agent–User Interaction Protocol (AG-UI). MCP standardizes how AI models securely access external data sources. ACP provides a uniform method for…
May 26, 2026
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