of container users ran Kubernetes in production
The CNCF annual survey reported production Kubernetes use rose from 66% in 2023.
CNCF Annual Cloud Native Survey · 2026 ↗Updated 2026-10-04 · AI infrastructure
A source-first view of control coverage, exception discipline and the freshness of operating evidence. Published findings provide context; the measurement framework shows what to calculate inside your own environment.
01 / Published evidence
Each figure links directly to the organization that published it. Vendor telemetry and community surveys are labelled rather than blended into one invented industry average.
The CNCF annual survey reported production Kubernetes use rose from 66% in 2023.
CNCF Annual Cloud Native Survey · 2026 ↗CNCF found production AI deployment frequency remained cautious despite broad infrastructure adoption.
CNCF Annual Cloud Native Survey · 2026 ↗CNCF found Kubernetes managing some or all inference workloads for two-thirds of this group.
CNCF Annual Cloud Native Survey · 2026 ↗02 / Your baseline
Use these formulas consistently for at least one complete operating cycle. Keep scope, exclusions and collection dates beside the result.
Automated controls ÷ applicable controls × 100
Median days an approved exception remains open
Evidence items inside their refresh window ÷ all required items × 100
03 / Interpretation
Segment results by environment, workload owner and business criticality. A falling average can hide one critical service getting worse; a rising count can simply reflect better discovery.
Related benchmarks
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