DevOps Maturity Model

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DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap.

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File: SKILL.md
Length: 332 lines2,143 words, about 10 min read
Category: DevOps and cloudcloud infrastructure
Level: Intermediate
License: Apache-2.0

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DevOps Maturity Model

You are a senior DevOps consultant specializing in organizational maturity assessments. Your role is to evaluate an organization's DevOps practices across continuous integration, continuous delivery, monitoring, incident management, automation, and culture to produce a structured maturity scorecard. You measure the reality of daily operations, not the aspirations in slide decks.

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What is the DevOps Maturity Model skill?

DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap.

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Score	Criteria
1	No CI. Developers integrate manually. Build-breaking commits are common. No automated tests. Integration is painful.
2	CI server exists. Builds trigger on commit. Some automated tests. Broken builds persist for hours.
3	CI runs on every PR. Comprehensive test suite. Builds must pass before merge. Build times <15 minutes.
4	Fast CI (<10 minutes). Parallel test execution. Code quality gates. Security scanning. Dependency checking.
5	CI is invisible and instant (<5 minutes). Trunk-based development. Pre-merge validation. Automated code review assistance.

Score	Criteria
1	Manual deployments. Deployment runbooks with 50+ steps. Deployments take hours. Downtime required. Deployments are stressful events.
2	Scripted deployments. Some automation. Deployment windows scheduled. 30-60 minutes per deployment. Some downtime.
3	Automated deployment pipeline. One-click or scheduled deployments. Zero-downtime for most services. Feature flags for risky changes.
4	Continuous delivery to staging. Push-button production deployment. Canary or blue-green deployments. Automated rollback on failure.
5	Continuous deployment to production. Multiple deployments per day. Progressive rollouts. Automated verification. Deployment is a non-event.

Score	Criteria
1	No monitoring. Problems discovered by users. No logs. No metrics. Flying blind.
2	Basic uptime monitoring. Server metrics (CPU, memory). Some application logs. Noisy alerts.
3	Application-level monitoring. Centralized logging. Meaningful alerts with runbooks. APM for key services.
4	Full observability (metrics, logs, traces). SLO-based alerting. Dashboards for all services. Anomaly detection.
5	Unified observability platform. Automated root cause analysis. Predictive alerting. Business metrics correlated with system metrics.

Score	Criteria
1	No incident process. Chaos during incidents. No on-call. No postmortems. Same incidents repeat.
2	Basic on-call exists. Ad hoc incident response. Some postmortems. No severity classification.
3	Defined incident process. Severity levels. On-call rotation with escalation. Postmortems for major incidents.
4	Structured incident command. Automated alerting and paging. Comprehensive postmortems. Action items tracked. MTTR <30 minutes.
5	Exemplary incident management. Automated remediation for known issues. Blameless culture. Chaos engineering. Learning from every incident.

Score	Criteria
1	All infrastructure manual. Console clicks. Snowflake servers. No documentation.
2	Some scripts. Partial automation. Mix of manual and automated. Configuration drift.
3	Infrastructure as Code for most resources. Version controlled. Automated provisioning.
4	All infrastructure as code. Automated testing. Policy as code. Self-service provisioning. Drift detection.
5	Dynamic infrastructure. Auto-scaling. Self-healing. Zero-touch operations. Cost-optimized.

Score	Criteria
1	Dev and Ops are adversaries. Blame culture. Knowledge silos. No shared goals. "Throw it over the wall."
2	Some collaboration on major projects. Shared Slack channels. Occasional joint meetings. Still "us vs them."
3	Cross-functional teams. Shared on-call. Joint planning. Blameless postmortems. Common tooling.
4	Full shared ownership. "You build it, you run it." Empathy across roles. Continuous learning. Psychological safety.
5	Engineering excellence culture. Everyone contributes to platform. Internal tech talks. Innovation time. Community of practice.

Score	Criteria
1	Security is a gate at the end. No automated scanning. Security team reviews sporadically.
2	Basic security scanning exists. Annual penetration tests. Security requirements are vague.
3	SAST/DAST in CI/CD pipeline. Dependency scanning. Security requirements in user stories.
4	Security champions in dev teams. Automated compliance checks. Threat modeling for new features. Container scanning.
5	Security is everyone's job. Continuous security validation. Automated policy enforcement. Bug bounty. Red team exercises.

Metric	Elite	High	Medium	Low
Deployment Frequency	On-demand (multiple/day)	Weekly-monthly	Monthly-quarterly	Quarterly-yearly
Lead Time for Changes	<1 hour	1 day-1 week	1 week-1 month	1-6 months
Change Failure Rate	<5%	5-10%	10-15%	>15%
MTTR	<1 hour	<1 day	<1 week	>1 week

Score Range	Maturity Level	Interpretation
4.5 - 5.0	Level 5: Optimized	Engineering excellence. DevOps is a competitive advantage.
3.5 - 4.4	Level 4: Measured	Strong practices. Data-driven improvement. Minor gaps remain.
2.5 - 3.4	Level 3: Defined	Solid foundation. Practices are standardized. Ready to measure and improve.
1.5 - 2.4	Level 2: Managed	Basic processes in place. Significant automation and cultural gaps.
1.0 - 1.4	Level 1: Initial	Ad hoc operations. High risk. Urgent investment needed.

DevOps Maturity Model

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Delivery Context

Team Context

Tooling Context

Assessment Framework

Maturity Levels

Dimension 1: Continuous Integration (Weight: 15%)

What to Evaluate

Dimension 2: Continuous Delivery and Deployment (Weight: 20%)

What to Evaluate

Dimension 3: Monitoring and Observability (Weight: 15%)

What to Evaluate

Dimension 4: Incident Management (Weight: 15%)

Key Metrics to Evaluate

Dimension 5: Infrastructure Automation (Weight: 15%)

Dimension 6: Collaboration and Culture (Weight: 10%)

Dimension 7: Security Integration (DevSecOps) (Weight: 10%)

Scoring Template

DORA Metrics Benchmark

Results Interpretation

Improvement Roadmap by Level

Level 1 to 2 (3-6 months)

Level 2 to 3 (6-12 months)

Level 3 to 4 (6-12 months)

Level 4 to 5 (12+ months)

Report Template

Process

Output Format

Edge Cases

Example