AI projects on GitHub
GitHub recorded rapid growth in repositories using LLM SDKs and AI-related projects.
GitHub Octoverse 2025 · 2025 ↗Updated 2026-10-04 · AI infrastructure
MLOps
operations and reliability statistics.
A source-first view of change quality, recovery speed and whether the running system meets its objectives. Published findings provide context; the measurement framework shows what to calculate inside your own environment.
01 / Published evidence
What the public data says.
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.
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 ↗deployed models daily
CNCF found production AI deployment frequency remained cautious despite broad infrastructure adoption.
CNCF Annual Cloud Native Survey · 2026 ↗02 / Your baseline
Measure the system you actually run.
Use these formulas consistently for at least one complete operating cycle. Keep scope, exclusions and collection dates beside the result.
Change failure rate
Changes causing rollback, hotfix or incident ÷ all changes × 100
Median recovery time
Median time from impact detection to service restoration
Objective attainment
Measurement windows meeting the agreed SLO ÷ all windows × 100
03 / Interpretation
A number without a denominator is decoration.
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.
- Record the source system and collection window.
- Separate discovered, in-scope and actively managed populations.
- Keep medians and tail values where averages hide risk.
- Annotate architecture, policy and tooling changes.
- Recalculate after remediation instead of closing on intent.
Related benchmarks
Look at the adjacent signal.
Want these numbers from your cloud?
Gritt can map the data sources, calculate a defensible baseline and implement the changes behind it.
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