In this course, you will learn how to:

• Create a Script to seamlessly deploy Airflow for Local Development

• Create your own Helm Chart

• Template Scripts and YAML files

• Configure Airflow using Helm

• Create a Scalable EKSCluster using eksctl

• Deploy an ALB Ingress Controller for Load Balancing and accessing the Airflow UI

• Mounting EFS for Persisting Kubernetes Executor Logs

• Creating a Pipeline to Deploy Airflow using AWS Code Pipeline

Prerequisites:

• Basic Knowledge about Airflow Components

• Basic Knowledge about Kubernetes

• Basic Knowledge about AWS

• Familiar with working on an IDE

Dependencies: Linux OS, Windows, AWS Account (For Non-Local Deployment )

This course is lined up with the Production Guide of Apache Airflow to deploy a Highly Scalable Airflow on EKS and also follows official Documentation of AWS while deploying Services making sure you always stay up to date and acquire more detailed information whenever you want to.

Who this course is for:

• If you are a DevOps Engineer and want to know the technical dependencies for deploying Airflow such as using EFS for using a Kubernetes Executor.

• If you are a Data Engineer and want to use Airflow for Development but don't want to spend a huge amount of time learning how to configure it.

• If you are a Full Stack Engineer and want to learn about various frameworks revolving around Airflow such as Helm, AWS EKS.

• If you want to focus on development and get rid of all the frustration coming from trying to set up Airflow with all the core components.

Who this course isn't for: If you want to know what Airflow is or learn how to create DAGs or pipelines.

Note: This course includes using AWS resources such as EKS which is not free tier eligible.