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> Term

Repeatability

The ability to consistently recreate an experiment, process, or deployment with the exact same results.

Detailed Explanation

Repeatability ensures that a deployment, test, or infrastructure setup is entirely deterministic and relies on automated scripts rather than manual human intervention.

Systems lacking repeatability are fragile because their success depends on tribal knowledge, making scaling and recovery nearly impossible.

Why It Matters

It eliminates the "it works on my machine" problem and is the foundation for reliable CI/CD pipelines.

Common Failure Mode

A deployment fails in staging because the production environment has manual, undocumented configuration tweaks that the scripts do not account for.

Practical Example

Using Terraform and Docker to ensure the exact same environment is provisioned across local, staging, and production.

Production Manifestation

Infrastructure as code (IaC) templates and deployment pipelines that execute identical steps on every run.

Frequently Asked Questions

What is Repeatability in short?

The ability to consistently recreate an experiment, process, or deployment with the exact same results.

What is the most common failure mode?

A deployment fails in staging because the production environment has manual, undocumented configuration tweaks that the scripts do not account for.

AI Summary

The ability to consistently recreate an experiment, process, or deployment with the exact same results. It eliminates the "it works on my machine" problem and is the foundation for reliable CI/CD pipelines.