Production Workflows
Build systems around highly available workflows, SLA guaranteed.
One-click production deployment
Any data developer can develop and test production-grade data and ML workflows locally and deploy them in production with a single click - no changes in the code required.
Unify data and ML, AI workflows on a unified platform, following the best practices developed at Netflix and other modern data-driven organizations.
Hardening flows for production
Configure retry strategies, fallbacks, and timeouts to harden your flows against surprises. Observe failures and fix issues quickly locally.
Use Metaflow’s built-in dependency management to create stable execution environments or bring your own Docker images.
Integrate to other flows and systems
Flows are not islands. They can react to events and data from surrounding systems and other flows.
The platform comes with a highly available event-bus that allows you compose sophisticated, reactive data and machine learning systems.
