Max Eggers
01/07/2025, 2:56 PMMarvin
01/07/2025, 2:56 PMprefect.yaml
or through Python using classes like DeploymentEventTrigger
. Ensure your triggers are correctly defined as per the new configuration methods. Learn more here.
2. Upgrade Considerations: Prefect 3 maintains compatibility with most Prefect 2 workflows, but there are some caveats. For example, agents are replaced by workers, and work pools replace infrastructure blocks. Ensure your workflow aligns with these changes. Upgrade details.
3. Common Gotchas: Be aware that Prefect 3 uses Pydantic 2, and server data from Prefect 2.x is not compatible with 3.x. Also, Deployment.build_from_flow()
is removed; you should use the new method for deployment creation.
Review your deployment configurations and ensure they are updated to align with Prefect 3's new features and requirements.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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