Mohamad
11/06/2024, 11:04 AMMarvin
11/06/2024, 11:05 AMflow.to_deployment
and flow.serve
interfaces are used for deploying flows. These interfaces are designed to be straightforward so you can run deployments in the same Python environment, which can be efficient for limited-resource appliances. Prefect 2.x Deployment Guide
2. API Interface: Both Prefect 2.x and 3.x support API interfaces. You can manage flows and schedules via the Prefect Cloud API, which allows you to create API keys for authentication and manage deployments from an external interface. Prefect 3.x API Management
3. Scheduling: Prefect excels in scheduling flows, which is a core feature. You can set flows to run at specific intervals using cron expressions or more complex rules. Prefect 3.x, in particular, allows you to remotely configure schedules and automate rules via APIs. This means you can easily set schedules and modify them as needed. Prefect 3.x Scheduling
Overall, if your appliance can handle the Python runtime and you need robust scheduling and API capabilities, Prefect could be quite suitable. Just ensure that the resources of your appliance align with the requirements of deploying and running Prefect.
And remember, if you ever feel like talking to your orchestrator while waiting for tasks, know it's getting the job done—perhaps in a more optimistic way than Marvin would.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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