Principle:Apache Airflow Helm Values Configuration
| Knowledge Sources | |
|---|---|
| Domains | Kubernetes, Configuration |
| Last Updated | 2026-02-08 00:00 GMT |
Overview
A comprehensive configuration system for deploying Airflow on Kubernetes via Helm chart values with JSON Schema validation.
Description
Helm Values Configuration defines how Airflow components are deployed on Kubernetes through a structured values.yaml file. The configuration covers all aspects: executor type, component replicas, resource limits, environment variables, persistence, networking, security, and monitoring. A 13,840-line JSON Schema validates all values before deployment, preventing misconfiguration. The chart supports multiple executor types (Celery, Local, Kubernetes, CeleryKubernetes) and extensive customization.
Usage
Use this when deploying Airflow on Kubernetes. Create a custom values override file to configure the deployment for your infrastructure requirements. The JSON Schema provides validation and documentation of all available options.
Theoretical Basis
Helm Configuration Model:
- Default values (values.yaml): Base configuration with sensible defaults
- User overrides: Custom values file merged at deploy time
- Schema validation: JSON Schema (draft-07) validates merged values
- Template rendering: Go templates generate Kubernetes manifests from values
Configuration Hierarchy:
# Pseudo-code for Helm value resolution
final_values = deep_merge(
default_values, # chart/values.yaml
user_overrides, # -f my-values.yaml
set_values, # --set key=value
)
validate(final_values, schema="values.schema.json")
render_templates(final_values)