COMPEL Glossary / devops
DevOps
DevOps is a set of cultural practices, processes, and tools that integrate software development (Dev) and IT operations (Ops) to enable organizations to deliver software changes more frequently, reliably, and with higher quality.
What this means in practice
DevOps emphasizes automation, continuous integration, continuous deployment, infrastructure as code, monitoring, and collaborative team structures. For AI transformation, DevOps practices form the foundation upon which MLOps is built, extending the principles of rapid, reliable delivery to AI model lifecycle management. In COMPEL at Level 4, Module 4.2, Article 7 details the integration between COMPEL and DevOps/MLOps practices, showing how engineering velocity alignment enables the Produce stage to maintain the cadence needed for effective AI delivery while preserving governance rigor.
Why it matters
DevOps practices form the foundation upon which MLOps is built, extending principles of rapid, reliable delivery to AI model lifecycle management. Organizations without mature DevOps capabilities struggle to operationalize AI because they lack the automation, monitoring, and deployment infrastructure that production AI systems demand. DevOps maturity is a prerequisite for, not an alternative to, AI-specific operational practices.
How COMPEL uses it
At Level 4, Module 4.2, Article 7 details the integration between COMPEL and DevOps/MLOps practices, showing how engineering velocity alignment enables the Produce stage to maintain delivery cadence while preserving governance rigor. During Calibrate, existing DevOps maturity is assessed as a foundation for AI operations. The Model stage designs MLOps practices that extend existing DevOps pipelines rather than replacing them.
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Related Terms
Other glossary terms mentioned in this entry's definition and context.