DataFlow Operator Documentation

Documentation site for DataFlow Operator, built with MkDocs Material and mkdocs-static-i18n.

Live site: https://dataflow-operator.github.io/docs/en/

Open /en/ or /ru/ after mkdocs serve.

Local development

cd docs
pip install -r requirements.txt
mkdocs serve

Open http://127.0.0.1:8000/en/ or http://127.0.0.1:8000/ru/

Build

cd docs
mkdocs build

Output goes to site/.

Verify nav targets exist in both locales:

cd docs
python3 verify_nav_files.py

Structure

docs/
├── mkdocs.yml # MkDocs + i18n configuration
├── hooks.py # Copies en/llms.txt → site/llms.txt
├── requirements.txt
├── verify_nav_files.py
├── docs/
│ ├── en/ # English pages (+ llms.txt for LLM crawlers)
│ │ ├── concepts/ # Workload types, shared concepts
│ │ ├── dataflow/ # DataFlow CRD reference
│ │ └── dataflow-cron/ # DataFlowCron CRD reference
│ ├── ru/ # Russian mirror (same paths)
│ ├── images/
│ ├── stylesheets/
│ └── javascripts/
└── .github/workflows/
└── docs.yml

After build, site/llms.txt is present (default locale copies docs/en/llms.txt to the site root; hooks.py is a safety net).

Navigation sections

Section	Contents
Concepts	Architecture, DataFlow vs DataFlowCron
DataFlow	Overview, spec, lifecycle
DataFlowCron	Overview, spec, triggers, examples
Pipeline	Connectors, transformations
Guides	Examples, FAQ, best practices, errors, fault tolerance, metrics
Tools	Web GUI, CLI, Helm Values, MCP, Agent Skills
Development	Developer guide, releases, connector protocol