pull requests merged per month
GitHub reported monthly merged pull requests increased 23% year over year.
GitHub Octoverse 2025 · 2025 ↗Updated 2026-10-04 · Software delivery
Software supply chain security
cost and efficiency statistics.
A source-first view of unit economics, waste and the engineering effort needed to operate the capability. 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 breaches started with vulnerability exploitation
Verizon says vulnerability exploitation became the leading breach entry point in its 2026 DBIR.
Verizon 2026 DBIR announcement · 2026 ↗repositories used Dockerfiles
GitHub reported Dockerfile use grew 120% year over year in its 2025 dataset.
GitHub Octoverse 2025 · 2025 ↗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.
Unit operating cost
Monthly attributable cost ÷ active workloads or services
Avoidable spend ratio
Verified waste ÷ total attributable spend × 100
Engineering effort
Monthly engineer hours spent on routine operation and remediation
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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