Deployment Frequency:
This KPI measures how often new code is deployed to production. A high deployment frequency indicates agility and efficiency in delivering software changes.
Lead Time for Changes:
Lead time for changes measures the time it takes for a code change to go from a commit to being deployed into production. Short lead times indicate efficient development and deployment processes.
Mean Time to Recovery (MTTR):
MTTR measures the average time it takes to recover from a system failure or incident. A low MTTR indicates effective incident response and resolution processes.
Change Failure Rate:
This KPI measures the percentage of changes that result in a failure or require remediation. A low change failure rate indicates stable and reliable deployment processes.
Deployment Success Rate:
Deployment success rate measures the percentage of deployments that are successful without causing incidents or requiring rollback. A high deployment success rate indicates robust testing and deployment practices.
Infrastructure as Code (IaC) Coverage:
This KPI measures the percentage of infrastructure managed as code using tools like Terraform or Ansible. Higher IaC coverage indicates greater automation and scalability in infrastructure management.
Mean Time Between Failures (MTBF):
MTBF measures the average time between system failures or incidents. A high MTBF indicates system reliability and stability.
Resource Utilization:
Resource utilization KPIs track the usage of computing resources such as CPU, memory, and storage. Optimizing resource utilization ensures efficient use of infrastructure resources and cost-effectiveness.
Release Cycle Time:
Release cycle time measures the time it takes to release new features or updates from development to production. Short release cycle times indicate fast-paced and responsive development cycles.
Customer Satisfaction (Internal or External):
Customer satisfaction metrics, whether internal (e.g., developer satisfaction) or external (e.g., user satisfaction), provide valuable insights into the effectiveness of DevOps practices in meeting stakeholder needs and expectations.
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