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kubernetes, survey, Dapr, CNCF, Survey Finds Growing Container Security Concerns

Survey Surfaces Myriad Kubernetes Networking Challenges

New survey data shows Kubernetes networking complexity rising, with teams struggling across observability, egress, multi-cluster security, and tool sprawl—highlighting the growing need for platform engineering and unified networking approaches ...

Mike Vizard | November 17, 2025 | cloud-native networking, container networking, debugging, devops, eBPF, egress control, Kubernetes clusters, Kubernetes networking, Kubernetes security, load balancing, microservices, multi-cluster networking, network management complexity, network transparency., observability, platform engineering, SRE

NVIDIA’s ComputeDomains Aims to Simplify Multi-Node NVLink for Kubernetes

NVIDIA is pushing deeper into the world of high-performance AI infrastructure, unveiling a Kubernetes-native abstraction called ComputeDomains that promises to simplify a major difficulty in today’s AI development: enabling secure, high-bandwidth GPU communication across ...

James Maguire | November 14, 2025

Prometheus, kubernetes, CNCF Promotes Prometheus Container Monitoring

Open Source KServe AI Inference Platform Becomes CNCF Project

The CNCF adopts KServe to strengthen cloud-native AI inference on Kubernetes as platforms like Red Hat OpenShift AI expand model-as-a-service capabilities ...

Mike Vizard | November 13, 2025 | AI gateway, AI inference on Kubernetes, AI model registry, Cloud Native Computing Foundation, CNCF incubator, Edge AI deployment, KServe, KubeCon + CloudNativeCon 2025, Kubeflow, Kubernetes AI workloads, LLM serving on Kubernetes, Model-as-a-service, vLLM

kubernetes, network, logistics, security, Traefik Tigera container security Calico Red Hat Dynatrace

Google Extends Kubernetes Service to Safely Run Agentic AI Workloads

At KubeCon + CloudNativeCon North America 2025, Google unveiled major GKE upgrades — including an AI sandbox, inference gateway, pod snapshots, and 130,000-node clusters — to optimize and secure agentic AI workloads ...