The cloud-native ecosystem has transitioned from an 'emerging choice' to a near-universal enterprise standard. Ninety-eight percent of organizations now use cloud-native technologies, with 82% of container users running Kubernetes in production. Sixty-six percent of organizations running generative AI inference do so on Kubernetes.
Jonathan Bryce, executive director of the Cloud Native Computing Foundation (CNCF), emphasized that Kubernetes has become the 'invisible infrastructure' powering our daily lives. The pressure is escalating as AI workloads shift from model training to inference, becoming the largest compute use case in human history.
The CNCF provides neutral governance, enabling hundreds of vendors and open-source contributors to innovate together. This model has become critical for building and securing modern software and AI. However, organizational culture and team alignment are now the top barriers to cloud-native adoption, according to CNCF research.
Mike Barrett, VP of hybrid cloud platforms at Red Hat, stressed the importance of platform consistency over raw tooling. Enterprises need standardized workflows and internal developer platforms to achieve operational maturity and scale innovation.
AI accelerates the need for robust governance and security. Observability and cost controls are pushed to their limits, and shared standards are crucial. The CNCF landscape reflects these priorities, with observability and service mesh projects gaining prominence.
KubeCon + CloudNativeCon Europe 2026 in Amsterdam is a key event for aligning on innovations and best practices. The event will feature a dedicated AI track, reflecting the community’s strategic priorities.