CNCF Releases State of Cloud Native 2026 Report: Platform Engineering Adoption Doubles
The Cloud Native Computing Foundation has published its annual State of Cloud Native report, revealing that platform engineering adoption has doubled year-over-year with 78% of enterprise organizations now operating dedicated platform teams. The report also finds that AI/ML workloads now account for 34% of all Kubernetes cluster capacity.
The Cloud Native Computing Foundation has published its annual State of Cloud Native report ahead of KubeCon Europe 2026, and the numbers tell a story of an ecosystem that has fundamentally shifted its center of gravity. Platform engineering adoption has doubled year-over-year, AI/ML workloads now consume more than a third of all Kubernetes cluster capacity, and the Gateway API has officially overtaken Ingress as the most commonly configured traffic management resource.
Platform Engineering Goes Mainstream
The most dramatic finding is the surge in platform engineering adoption: 78% of enterprise organizations now operate dedicated platform teams, up from 39% in 2025. These teams build and maintain internal developer platforms that abstract away infrastructure complexity, providing developers with self-service capabilities for deploying, monitoring, and scaling applications without needing to understand the underlying Kubernetes infrastructure.
The report attributes this growth to the convergence of three factors: the increasing complexity of cloud-native stacks, the shortage of Kubernetes expertise in the job market, and the rise of AI-assisted platform tools that reduce the engineering effort required to build and maintain internal platforms.
AI/ML Workloads Reshape Clusters
AI and machine learning workloads now account for 34% of all Kubernetes cluster capacity across surveyed organizations, up from 18% a year ago. This shift is driving changes in cluster architecture — organizations are deploying larger nodes with GPU access, implementing Dynamic Resource Allocation for heterogeneous hardware, and adopting Kueue for AI job scheduling. The report notes that GPU-enabled Kubernetes nodes now cost an average of 12x more per hour than standard compute nodes, making efficient scheduling critical for cost management.
Gateway API Overtakes Ingress
In a milestone that has been years in the making, the Kubernetes Gateway API has overtaken the legacy Ingress API as the most commonly configured traffic management resource in new cluster deployments. Among organizations that deployed new clusters in the past 12 months, 61% used Gateway API as their primary traffic management specification, compared to 34% using Ingress and 5% using service mesh-specific configurations.
The full State of Cloud Native 2026 report includes data from over 5,000 respondents across 89 countries and is available for download on the CNCF website.
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