Workflow Deployment to Environments
Deployment binds a workflow definition to a runtime target.
A safe deployment process should include validation, controlled rollout, and post-deploy verification.
Pre-Deployment Checks
Before deploying, verify:
- environment is online
- referenced models are available
- datasource dependencies are reachable from target
- bucket permissions and paths are valid
- required secrets are configured
Deployment Steps
- Select workflow and target environment
- Run configuration and dependency validation
- Deploy and wait for sync confirmation
- Execute controlled test event
- Observe logs and output correctness
- Promote to full traffic
Rollout Strategy
- deploy to staging first
- validate with representative payloads
- deploy to one production target first when multi-site
- expand rollout gradually
Post-Deployment Verification
- workflow status is active
- first successful execution observed
- output persisted as expected
- no sustained error spike after activation
Common Deployment Failures
- target offline during deployment window
- missing model artifacts on runtime
- datasource reachable in cloud but not edge network
- schema mismatch in downstream nodes