A Platform for Automation
Prefect Cloud is a command center for your workflows.
Deploy from Prefect Core and instantly gain complete oversight and control.
Cloud UI
Cloud's beautiful UI lets you keep an eye on the health of your infrastructure.
Stream realtime state updates and logs, kick off new runs, and receive critical information exactly when you need it.
and more...
Auto-API
Every flow has a permissioned API for remote execution and monitoring.
Versioning
Every Prefect flow is automatically versioned, so you're always up-to-date.
Team Management
Invite users to your team and assign roles and permissions as appropriate.
State Locking
Tasks run once and only once, no matter how many distributed execution environments you run.
Agents
The key to Cloud's Hybrid Execution model, agents are small open-source programs that can launch flows into any environment.
Projects
Projects are like directories for organizing flows.
Global Search
Immediately jump to the information you need.
Secrets
Give your flows access to sensitive information at runtime, like API keys or passwords.
Realtime UI
The Prefect UI updates in realtime so you're never behind.
On-Demand
Prefect tasks can be started, paused, and resumed at any time, allowing manual steps like review and approval.
Logs
Stream, filter, and search logs from every flow and task run.
Zombie Killers & Lazarus
One fails tasks that crash unexpectedly; the other revives runs that get stuck.
Tag-Based Concurrency Limits
Enforce global concurrency by assigning limits to individual task tags.
Flow Affinity
Tag flows so they're only picked up by agents with matching labels, in order to easily support multiple environments.
Flow-to-Flow Dependencies
Link flows together to kick off new runs dynamically.
Per-Run Environments
Send the same flow to different environments on every run.
Progress API
Emit events mid-run for analysis.
Data Lineage
Audit the life cycle of your workflows and data.
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from prefect import task, Flow
@task
def say_hello():
print("Hello, world!")
with Flow("My First Flow") as flow:
say_hello()
flow.run() # "Hello, world!"
