CI/CD Pipeline Efficiency Model
00
To model the cumulative number of successful software deployments over a one-year period accounting for build failures and deployment frequency.
NOTEAbout This Model
## To model the cumulative number of successful software deployments over a one-year period accounting for build failures and deployment frequency. This model estimates **Cumulative Deployments** based on uncertain inputs: Failure Rate, Deployment Freq. Fixed values: Start Count. Run the simulation to see the distribution of possible outcomes.
VARIABLEDeployment Freq
poisson(9)
Frequency of code push attempts to the pipeline per work week.
deployment_freq
VARIABLEFailure Rate
beta(2.1, 17.9)
Industry standard failure rates vary based on code quality and environment stability.
failure_rate
CONSTANTStart Count
0
Initial count of deployments at week 0.
start_count
TIME SERIESCumulative Deployments
prev + (deployment_freq * (1 - failure_rate))
12 months
from 0
The total number of successful deployments accumulated over 52 weeks.
cumulative_deployments
OUTPUTCumulative Deployments
cumulative_deployments
Cumulative successful deployments over time. Higher values indicate a healthier pipeline. Compare scenarios to see how failure rate and cycle time improvements compound.
What is Carlo?
Carlo is a visual tool for Monte Carlo simulation. Model uncertainty by dragging probability distributions, connecting them visually, and running thousands of scenarios instantly.