Explore 11 AI terms in DevOps
A deployment strategy that minimizes downtime by running two identical environments: blue (current) and green (new).
A Canary Release is a deployment strategy that tests new software with a small user group before full rollout.
Chaos Engineering is a practice that tests system resilience by intentionally introducing failures.
Continuous Deployment is a software development practice that automates the release of code changes to production environments.
Continuous Integration is a software development practice where code changes are automatically tested and integrated frequently.
DataOps is a collaborative data management practice that improves the speed and quality of data analytics.
A deployment pipeline automates the process of delivering software from development to production.
DevOps for ML integrates machine learning into the DevOps framework to improve collaboration, automation, and deployment of ML models.
DevOps ML integrates machine learning practices with DevOps methodologies for streamlined AI development and deployment.
A feature flag is a software development tool that enables or disables features in an application without deploying new code.
MLOps is the practice of integrating machine learning into DevOps to streamline the deployment and management of ML models.