48 lines
1.7 KiB
Markdown
48 lines
1.7 KiB
Markdown
---
|
|
title: Cloud DevOps Maturity Model
|
|
tags:
|
|
- cloud
|
|
- devops
|
|
- maturity
|
|
created: 2026-04-22
|
|
---
|
|
|
|
# Cloud DevOps Maturity Model
|
|
|
|
## Overview
|
|
|
|
The Cloud DevOps Maturity Model is a framework for evaluating and advancing an organization's cloud DevOps capabilities. It assesses how well teams have adopted DevOps practices in cloud environments across multiple dimensions.
|
|
|
|
## Related Concepts
|
|
|
|
- [[Cloud Service Delivery]] — The broader context of cloud operations
|
|
- [[DevOps Maturity]] — General DevOps maturity assessment
|
|
- [[DORA Metrics]] — DevOps Research and Assessment metrics
|
|
- [[Cloud Maturity Levels]] — General cloud maturity assessment
|
|
|
|
## Related Sources
|
|
|
|
- [[what-i-know-about-cloud-service-delivery-1]]
|
|
- [[cloud-devop-maturity-guideline]]
|
|
|
|
## Key Dimensions
|
|
|
|
While the source document mentions this as a concept to be explored, typical Cloud DevOps Maturity dimensions include:
|
|
|
|
1. **Automation** — Infrastructure provisioning, deployment, testing automation
|
|
2. **Collaboration** — Cross-functional team alignment
|
|
3. **Monitoring & Observability** — Cloud-native monitoring solutions
|
|
4. **Security Integration (DevSecOps)** — Security embedded in the pipeline
|
|
5. **Incident Response** — Automated response and recovery
|
|
6. **Continuous Improvement** — Feedback loops and optimization
|
|
|
|
## Maturity Indicators
|
|
|
|
| Level | Characteristics |
|
|
|-------|-----------------|
|
|
| Level 1 | Ad-hoc cloud usage, manual processes |
|
|
| Level 2 | Basic automation, some monitoring |
|
|
| Level 3 | IaC adoption, CI/CD pipelines |
|
|
| Level 4 | Advanced automation, proactive monitoring |
|
|
| Level 5 | Self-healing systems, AI-driven optimization |
|