Change failure rate measures the proportion of deployments or infrastructure changes that fail and require remediation, rollback, or other corrective action. Manual configuration tends to increase it because changes accumulate without consistent auditing or organization. section 1.2.1
A manual infrastructure failure pattern
A team waited nearly two months for a database environment while platform staff handled database creation, routing, and firewall tickets. Later changes were harder to troubleshoot because earlier modifications were not organized or audited. section 1.2.1
Reduce change failure rate by:
- Writing infrastructure as code so systems can be reproduced and changes can be reviewed. section 1.4.2
- Using automation and tests to improve predictability and limit the blast radius of failed changes. section 1.4.2
- Investing upfront in IaC to reduce debugging and recovery effort as infrastructure evolves and scales. section 1.4.2
