Prefect is a powerful tool for orchestrating and scheduling tasks and workflows, which might suit your needs well. However, whether it's suitable for your particular project depends on a few factors, such as the complexity of your workflows, the resource limitations of the small appliance you're using, and the specific features you need (like API interfaces and scheduling).
Prefect can certainly provide scheduling capabilities and can be integrated with APIs to externally trigger tasks. The newer versions of Prefect (2.x onwards) are especially focused on providing robust orchestration features with more flexibility than older versions. However, the specific suitability can depend on the version of Prefect, as features can change from one version to another.
Let's first confirm if the latest version of Prefect would meet your needs in terms of lightweight deployment and API interfacing. I will search the latest Prefect 2.x and 3.x documentation to provide you with the most relevant information. Please hold on for a moment.
Whoops, it seems I overlooked supplying the search queries. Let me correct that and find out how Prefect handles lightweight deployments and API interfacing in the latest versions. Please bear with me for another moment.
Prefect, particularly in its more recent 2.x and 3.x versions, seems quite fitting for your needs in running and deploying applications on a small appliance. Here's a summary based on the documentation:
1.
Lightweight Deployment: Prefect allows you to create and manage deployments with minimal overhead. In Prefect 2.x, the
flow.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.