Engineers across the ecosystem are collaborating on key initiatives to evolve Kubernetes for high-performance compute without creating inflexible architectures. These efforts include: Pod Groups (Workload API): This initiative treats sets of pods as single failure domains, ensuring the proximity and reliability necessary for large-scale AI matrix initialization. Dynamic Resource Allocation (DRA): DRA integrates specialized chips and GPUs into the Kubernetes scheduler to manage hardware nuances and enable efficient AI training and serving. Inference Gateways: These utilize Gateway API standar
Cloud native is now AI-native: Engineering production-ready AI…What Are Your Options? With ingress-nginx entering retirement, platform teams face a choice: keep a critical control-plane component without upstream maintenance, or move to an actively supported alternative. The Kubernetes…
…In production, platform teams deploy the same unified binary, often using tools like the OpenTelemetry Operator for Kubernetes. Organizations can then replace the local SLM with a larger cloud-based LLM to…
…Falco, a CNCF graduated project and the de facto standard for cloud native runtime security, has long brought policy-driven detection to containers, Kubernetes, and hosts. Prempti extends that same model to…
Posted on May 27, 2026 by Pavan Madduri (Senior Cloud Platform Engineer @ Grainger | CNCF Golden Kubestronaut) CNCF projects highlighted in this post If you run GPU workloads on Kubernetes — vLLM, Triton, training…
…this post There’s been a growing emphasis in the cloud native community on investing in tools that improve developer experience. Platform engineering, accompanied with the rise of projects like Backstage, is…
…Because we leverage Ingress NGINX in Foundation, our opinionated GitOps Kubernetes platform, this migration was just as relevant to us as it was to our customer. Pretty much all migration guides we…
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