avionix-airflow 0.1.1

A package for deploying airflow to kubernetes with included monitoring (grafana and elasticsearch integration)

Why are there so many guides on how to set up Apache Airflow when the code could just be given to you?!

Welcome to Avionix Airflow, an out of the box solution to installing airflow on Kubernetes.

Currently supported platforms are Minikube and AWS EKS (managed nodegroups only), pull requests adding support for GKE and AKS are welcome.

Overview of Avionix Airflow Capabilities

Avionix airflow provides the following out of the box solutions for airflow

1. Airflow Webserver and Scheduler with configured RBAC for the KubernetesExecutor

2. Airflow metric collection (statsd -> telegraf -> elasticsearch)

3. Airflow log collection (stdout -> filebeat -> elasticsearch)

4. Metric and log visualization (elasticsearch & postgres -> grafana)

Installation

pip install avionix_airflow

Requirements

• kubectl

• helm

Configuration

Avionix airflow is configured by using Options objects, there are currently 4 different objects:

1. AirflowOptions

2. PostgresOptions

3. MonitoringOptions

4. CloudOptions (Specified using LocalOptions or AwsOptions)

5. RedisOptions (Only for use with CeleryExecutor, *not recommended*)

These options are then passed into the function get_chart_builder, which can be used to retrieve an avionix chart builder object. For instruction on how to use the builder object, see avionix

FAQ

• How do I change the grafana dashboard?

  • You can change the dashboard by setting the MonitoringOptions role to “Admin”

Documentation

Additional documentation can be found [here](https://avionix-airflow.readthedocs.io/en/latest/)