Author:Ritesh Patel

Kubernetes nodes/proxy GET → RCE: how “telemetry” permissions can compromise a cluster

A subtle (and frankly surprising) Kubernetes authorization behavior has resurfaced as a practical cluster-compromise path: an identity granted nodes/proxy access with an HTTP Get can be leveraged to execute commands in Pods across the cluster—effectively turning what many teams treat as “read-only node telemetry access”…

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CNCF Annual Cloud Native Survey 2025: Kubernetes Is Becoming the Default AI Runtime – But “AI Platform Readiness” Is the Real Differentiator

A familiar pattern is playing out again. A decade ago, the big shift wasn’t “containers” themselves—it was everything that had to solidify around them: repeatable delivery, production operations, observability, and guardrails that made change safe, i.e. making everything container-native. Many of us at Nirmata lived…

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NVIDIA AI Platforms

How Kyverno Strengthens Security, Compliance, and Reliability Across NVIDIA AI Platforms

What is Kyverno and Why Does NVDIA Use it for GPU Management? Kyverno is a Kubernetes-native policy engine that NVIDIA embeds directly into its AI platform stack—including DGX Cloud, Mission Control, and NeMo microservices—to enforce security, compliance, and operational stability for GPU workloads. Created by…

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Paved Roads, Not Speed Bumps: How Platform Teams Scale AI-Speed Guardrails with Kyverno + Nirmata

AI is about to create more infrastructure change than humans ever did. Not just application code—Kubernetes manifests, Helm values, Terraform, pipeline definitions, and “quick fixes” generated by copilots and agents. That velocity is exciting, but it exposes a hard truth for platform leaders: If your…

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How to Avoid Costly Mistakes When Adopting Kubernetes

How to Avoid Costly Mistakes with Kubernetes Adoption: A Kubernetes Best Practices Guide for Platform Engineering Teams

Kubernetes has become the backbone of modern cloud-native infrastructure, empowering organizations to scale applications efficiently. However, its complexity often leads to costly mistakes that undermine operational excellence, security, and reliability. For platform engineering teams, avoiding these pitfalls is critical to ensuring smooth adoption. Let’s explore…

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Policy as Code: The Essential Strategy for Securing AI Workloads in Kubernetes  

The rise of AI is transforming industries, but it’s also introducing unprecedented complexity. As organizations deploy more AI models—LLMs, recommendation engines, real-time analytics—the attack surface expands, compliance risks multiply, and resource contention intensifies. For platform engineers and AI infrastructure teams, the stakes have never been…

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