Take control of your Microsoft Data Platform with the Devops Maturity Model
We meet you
where you are
Form
“Focus, Fragmentation, Formation”
In the Foundation stage, organizations begin establishing the building blocks for DevOps.
This stage is marked by fragmented teams and siloed processes, with minimal collaboration between development and operations. Basic tools like version control and scripting are introduced, but manual workflows dominate, leading to inefficiencies and frequent bottlenecks.
While teams are still forming their practices, the focus is on defining initial workflows and gaining clarity on where automation and integration could provide value.
Key Metrics at the Foundation Stage:
• Deployment Frequency: Monthly or quarterly, reflecting the manual nature of the processes.
• Lead Time for Changes: Weeks or months, as changes require extensive manual intervention and review.
• Change Failure Rate: High (40-60%), due to lack of testing and consistent processes.
• Mean Time to Recovery (MTTR): Days or even weeks, as issue resolution is slow and reactive.
By establishing a solid foundation, organizations prepare for the next stage of automating processes and improving collaboration.
Flow
“Fidelity, Fast Feedback, Flexibility”
In the Flow stage, organizations focus on streamlining processes and introducing automation to achieve consistent and reliable workflows.
CI/CD pipelines are implemented, ensuring fidelity in builds and deployments.
Automated testing and monitoring provide fast feedback loops, allowing teams to identify and address issues early in the development cycle.
Collaboration improves across development, operations, and QA, breaking down silos.
Flexibility in processes allows for quicker responses to changing business demands, enabling teams to release software faster and with greater confidence.
Key Metrics at the Flow Stage:
• Deployment Frequency: Weekly or daily, as pipelines automate much of the work.
• Lead Time for Changes: Days or hours, driven by improved collaboration and automated workflows.
• Change Failure Rate: Moderate (20-40%), as automated testing reduces errors.
• Mean Time to Recovery (MTTR): Hours, supported by improved monitoring and issue resolution processes.
This stage sets the organization on the path to becoming fully agile and efficient, reducing time to market and improving overall reliability.
Fly
“Flow Optimization, Failure Resilience, Feedback Loops”
The Frictionless stage represents peak DevOps maturity, where automation, collaboration, and innovation converge.
Continuous delivery pipelines operate seamlessly, optimizing the flow of work from development to production.
Systems are built for failure resilience, with self-healing capabilities and chaos engineering practices ensuring minimal downtime.
Feedback loops are real-time, with advanced observability tools enabling proactive improvements. Teams focus on delivering value at scale, experimenting with new features through A/B testing, and continuously optimizing their systems for performance and scalability.
Key Metrics at the Frictionless Stage:
• Deployment Frequency: On-demand, often multiple times per day.
• Lead Time for Changes: Minutes, reflecting fully automated pipelines and workflows.
• Change Failure Rate: Low (<10%), due to robust testing and proactive system design.
• Mean Time to Recovery (MTTR): Minutes, thanks to automated rollbacks and self-healing systems.
At this stage, organizations not only achieve operational excellence but also gain a competitive advantage through rapid innovation and consistently reliable service delivery.
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