Why Traditional Maturity Models Are Obsolete for DevOps and an Introduction to the DevOps Capability Growth Model
The article argues that static, five‑level maturity models are unsuitable for DevOps, outlines their three main shortcomings, and presents the data‑driven DevOps Capability Growth Model with its five capability categories and suggested measurement practices.
In the previous article we noted that enterprises applying DevOps should not use a single maturity‑model metric, that different teams do not follow a universal standard, and that they should instead adopt a 5‑category, 24‑item capability growth model to guide progress.
Feature 1: Traditional maturity models are ladder‑shaped with five levels (often called the "Golden 5"). Examples include CMMI, ITIL/ITSM, IT‑business integration, Deloitte security compliance, and continuous delivery maturity models.
Feature 2: Each level usually defines 3‑7 dimensions that remain static for many years, forming a cross‑matrix that rarely changes.
Feature 3: Organizations chase higher levels without evidence that quality improves, sometimes even regressing after reaching the top level.
Limitations of maturity models: They ignore the unique conditions, resources, and business contexts of each organization; they are static in a rapidly changing IT landscape; they focus on isolated technical metrics rather than overall business outcomes; they can create perverse incentives and anchoring effects that hinder continuous learning.
Consequently, no universally accepted DevOps maturity model exists, prompting the need for a more adaptable framework.
DevOps Capability Growth Model: Proposed in the book Accelerate , based on four years of scientific surveys by Dr. Nicole Forsgren and collaborators. The model defines five capability categories comprising 24 specific practices.
First Category – Continuous Delivery
Version control of all production artifacts
Automated deployment pipelines
Continuous integration
Trunk‑based development
Test automation
Test data management
Pre‑deployment security management
Implementation of continuous delivery
Second Category – System Architecture
Design of loosely coupled architectures
Empowering teams to make architectural refactoring decisions
Third Category – Product & Process
Collecting and acting on customer feedback
Visualizing work with value‑stream mapping
Adopting small‑batch work
Enabling teams to experiment
Fourth Category – Lean Management & Monitoring
Lightweight change‑approval processes
Full‑stack support for business decisions
Proactive system health monitoring
Using WIP limits for value‑stream management
Visual monitoring of team quality and communication
Fifth Category – Enterprise Culture
Fostering a thriving organizational culture
Encouraging continuous learning
Supporting cross‑team collaboration
Providing necessary tools and resources
Driving leadership transformation
The model is built on a scientific, multi‑year study, continuously evolves, and aims to suit organizations with diverse starting points. It helps teams focus on their specific weak points, benchmark against an industry baseline, and prioritize improvements.
Suggested measurement approach: Use the capability growth model to assess current state, identify constraint capabilities, and drive prioritized, capability‑based improvements that boost key outcomes such as lead time, deployment frequency, MTTR, change failure rate, overtime, and overall value delivery.
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