15 docs tagged with "Dataprocess"

CLI allows you to create data process projects locally and deploy them with console commands.

Agent Configuration is for creating and managing secrets for the following agents in SDK:

API routes is one of the trigger features that can be deployed and managed from CLI, which make data processes RESTful-like.

Message queue clients, publishers and subscribers together are one of the trigger featuures that can be deployed and managed from CLI.

Scheduler - schedules and scheduled jobs - together are one of the triggers that can be deployed and managed from CLI.

LOC data events allows users to generate a data flow or data trail to indicate who have sent and received data. These information can be very useful for two reasons:

This is the follow-up of Emit and Inspect Events, in which we've learned the basics of emitting events.

Logic are the core elements of a data process. They contains the implementation of a data pipeline (which may be part of a bigger one). And the session storage is the thing to link them up together.

CLI commands for managing projects, data processes and logic.

This quick start will go through a tutorial of building a simple "Hello World" data process in LOC Studio using JavaScript.

What is Agent Configuration?

If a data process is deployed, it can be run without using triggers (or rather, a simulated API route). This is exactly the same as using the Execution function in Studio.

Some tips about handling errors in logic.

This is the developer's sections for deploying and managing user assets:

Local Simple Runtime is a Docker-based LOC local developing environment. It offers the following benefits: