Clarification on the Differences Between "Schedules" and "Web API Endpoints" / How to use PostgreSQL

dahan

I have two inquiries.

1. I would like to clarify the exact differences between "Schedules (Run a process)" and "Web API Endpoints" on AI Hub.
From my understanding, both are ultimately used to execute models created in AI Studio.
For visualization purposes, platforms like Grafana or Panopticon utilize Web API Endpoints, which makes sense, as this is the common way APIs are typically used.

Given this, I am curious to know the specific need for "Schedules." Is it correct to assume that their sole purpose is to run processes that collect and store data?
Additionally, I would appreciate it if you could share how others typically use this feature.

2.It seems that PostgreSQL is automatically installed during the AI Hub installation process.
However, I am unsure how to use PostgreSQL within Docker.
Please let me know how to use PostgreSQL within Docker.

Could you please provide guidance on how to configure PostgreSQL in this context,
so that it can be effectively used by AI Hub and AI Studio?

ps. I am using AI Hub 2024.3

MartinLiebig

Hi,

Endpoints are REST webserivces. They are used for small process executions, which return their result in max a few seconds. Their answer time can go down to a few dozens of ms. The endpoints get triggered from the outside. The typical use case for this is scoring with a model.

Schedules are executed periodically. They are executed in the normal JobAgents architecture and are thus suitable for large jobs which need a lot of resources and may take long. They are not triggered from the outside.
Typical jobs are model retraining or large data prep jobs.

On the postgres: I think the postgres in the docker is only used for AIHub internal things, and you shouldn't worry or use it.

Cheers,
Martin