How to: Airflow deployment solutions
- [Installing Airflow on IBM Cloud](https://github.com/KissConsult/Apache-Airflow) - Quick and easy deployment on IBM Cloud with IBM [Bitnami Charts](https://github.com/bitnami/charts)
- [Three ways to run Airflow on Kubernetes](https://fullstaq.com/blog/three-ways-to-run-airflow-on-kubernetes/) - [Tim van de Keer](https://www.linkedin.com/in/tim-van-de-keer-bb5a1966) walks through several methods for deploying Airflow on Kubernetes.
- [Apache Airflow Multi-Tier Free Deployment on Azure](https://azure.microsoft.com/en-us/blog/bitnami-apache-airflow-multi-tier-now-available-in-azure-marketplace/) - A free Azure Resource Manager (ARM) template by Bitnami providing a one-click solution for Airflow deployment on Azure for production use-cases.
- [KubernetesExecutor Helm Chart](https://github.com/tekn0ir/airflow-chart) - A lean Helm Chart using the KubernetesExecutor for a more k8s native experience and complementary [KubernetesExecutor Docker Image](https://github.com/tekn0ir/airflow-docker).
- [Stable Celery Helm Chart](https://github.com/helm/charts/tree/master/stable/airflow) - Curated Helm Chart in the official stable chart repository.
- [Puckel's Docker Image](https://github.com/puckel/docker-airflow) - [@Puckel_](https://twitter.com/Puckel_)'s well-crafted Docker image has become the base for many Airflow installations.  It is regularly updated and closely tracks the official Apache releases.
- [Kubernetes Custom Operator for Deploying Airflow](https://github.com/GoogleCloudPlatform/airflow-operator) - Kubernetes Custom controller (also called operator pattern) for deploying Airflow on Kubernetes.
- [airflow-pipeline](https://github.com/datagovsg/airflow-pipeline) - Airflow Docker container that comes preconfigured for Spark and Hadoop.  It can be docker pulled at ``datagovsg/airflow-pipeline``.
- [aws-airflow-stack](https://github.com/villasv/aws-airflow-stack) - An AWS based Airflow cluster deployment with CeleryExecutor. Deploys after a few clicks with CloudFormation.
- [kube-airflow](https://github.com/mumoshu/kube-airflow) - This repository contains both an Airflow Docker image (that appears to have been based on Puckel's work) and Kubernetes service definition.  [mumoshu](https://github.com/mumoshu)'s repository has not been recently updated, but there are numerous forks that may be based on more recent releases.
- [airflow-on-kubernetes](https://github.com/rolanddb/airflow-on-kubernetes) - A guide on all relevant resources, scripts and projects that relate to running Airflow on Kubernetes.
- [airflow-k8s-executor-on-GKE](https://github.com/EamonKeane/airflow-GKE-k8sExecutor-helm) - A detailed tutorial to get a scalable, low maintenance airflow kubernetes executor environment deployed on [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine/) with [helm](https://helm.sh/).
- [airflow-cookbook](https://github.com/bahchis/airflow-cookbook) - Chef cookbook for deploying Airflow.
- [Running Airflow on top of Apache Mesos](http://agrajmangal.in/blog/big-data/running-airflow-on-top-of-apache-mesos/) - Blog describing how to configure [Mesos](http://mesos.apache.org/) to run all of the Airflow componenents.
- [Integrating Apache Airflow with Apache Ambari](https://medium.com/@mykolamykhalov/integrating-apache-airflow-with-apache-ambari-ccab2c90173) - [Mykola Mykhalov](https://www.linkedin.com/in/mykola-mykhalov-9079a8107/) walks through using [Apache Ambari](https://ambari.apache.org/) to configure and deploy an Airflow instance.
- [Astronomer Platform](https://github.com/astronomerio/astronomer) - Apache Airflow as a Service on Kubernetes. For more information visit https://www.astronomer.io.
- [Bitnami Airflow Docker image](https://github.com/bitnami/bitnami-docker-airflow) - A secure and up-to-date docker image for Airflow maintained by Bitnami.
- [Bitnami Airflow Scheduler Docker image](https://github.com/bitnami/bitnami-docker-airflow-scheduler) - A secure and up-to-date docker image for Airflow Scheduler maintained by Bitnami.
- [Bitnami Airflow Worker Docker image](https://github.com/bitnami/bitnami-docker-airflow-worker) - A secure and up-to-date docker image for Airflow Worker maintained by Bitnami. A CeleryExecutor docker-compose deployment is available [here](https://github.com/bitnami/bitnami-docker-airflow-worker/blob/master/docker-compose.yml).
- [Distribute & deploy Apache Airflow via Python PEX files](https://github.com/msumit/airflow-pex) - Example repo with steps to bundle, distribute, & deploy Apache Airflow as PEX files.
- [Introducing KEDA for Airflow](https://www.astronomer.io/blog/the-keda-autoscaler/) - How to use KEDA scaler system to enable autoscaling of celery workers based on data stored in the Airflow metadata database.
- [Airflow-Component](https://github.com/noelmcloughlin/airflow-component#lightweight-federated-apache-airflow-installer) - Lightweight installer of federated Airflow-Airflow (RabbitMQ) reference architectrure on Compute node(s).