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Overview
Workflows
Write and run a workflow
Use assets to track workflow outputs
Automatically rerun a workflow when it fails
Customize workflow metadata
Pass inputs to a workflow
Add logging
Access runtime information
Run work concurrently
Cache workflow step outputs
Run background tasks
Respond to state changes
Create Artifacts
Test workflows
Apply global concurrency and rate limits
Limit concurrent task runs with tags
Deployments
Create Deployments
Trigger ad-hoc deployment runs
Create Deployment Schedules
Manage Deployment schedules
Deploy via Python
Define deployments with YAML
Retrieve code from storage
Version Deployments
Override Job Configuration
Configuration
Store secrets
Share configuration between workflows
Manage settings
Automations
Create Automations
Create Deployment Triggers
Chain Deployments with Events
Access parameters in templates
Workflow Infrastructure
Manage Work Pools
Run Flows in Local Processes
Run flows on Prefect Managed infrastructure
Run flows on serverless compute
Run flows in Docker containers
Run flows in a static container
Run flows on Kubernetes
Run flows on Modal
Run flows on Coiled
Prefect Cloud
Connect to Prefect Cloud
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Create a Webhook
Troubleshoot Prefect Cloud
Prefect Self-hosted
Run a local Prefect server
Run the Prefect server in Docker
Run Prefect on Windows
Run the Prefect Server via Docker Compose
Migrate
Migrate from Airflow
Upgrade to Prefect 3.0
Upgrade from agents to workers
Transfer resources between environments
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How to cache workflow step outputs
How to persist workflow results
3.0
Assistant
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