DataCROP Maize Workflow Management Editor User Guide

Overview

The editor sidebar currently includes seven pages:

Warehouse: Create and manage reusable data models (workflows list, digital resources, workers, data kinds, and admin-only catalogs).
Workflow Lab: Configure workflow DAG metadata, design flow graphs, assign processors/workers/resources, and run/stop workflows.
Airflow DAGs: Opens the Airflow UI in an iframe.
Kibana Visualizations: Opens Kibana dashboards in an iframe.
Celery Workers Status: Opens Celery workers status in an iframe.
Logstash Monitor: Shows Logstash pipeline health, event counters, and last checked status for saved Logstash Pipeline processors.
Settings: Theme/preferences, registry credentials, admin initialization, and read-only user profile.

This guide focuses on the pages where most daily work happens: Warehouse, Workflow Lab, Logstash Pipelines, operational monitoring pages, and Settings.

Read This First

Use this sequence when onboarding a new environment:

Access Notes

Some Warehouse tabs are admin-only (Processor Definitions, Data Interface Types).
The Initialize Resources action is visible only to admins in Settings.
If initialization is missing, Warehouse shows a warning and links to Settings.

1. Getting Started

Before using the Workflow Editor, choose a deployment path on the Maize Setup page: either the single-script Maize MVP approach or the manual per-repository setup.