What you'll learn:
- How to Set Up a Production Ready Architecture for Airflow on AWS EKS From A-Z
- How to deploy DAGs from Git (public and private)
- How to Create CI/CD Pipelines with AWS CodePipeline Deploy DAGs
- How to Share DAGs and Store Logs with AWS EFS
- How to Enable Remote Logging with AWS S3 in EKS
- How to Test your DAGs in CI/CD pipelines
- How to Store Sensitive Data in AWS Secret Manager
Struggling to set up Airflow on AWS EKS?
You are at the right place!
With more than 15,000 students, I got many feedbacks about how difficult it is to configure Airflow on AWS with the official Helm chart.
Guess what? You are about to learn everything you need to set up a production-ready architecture for Apache Airflow on AWSEKS
This course is designed to guide you through the different steps of creating a real world architecture:
Configuring the EKS cluster following best practices
Deploying automatically changes with GitOps
Using Helm to configure and set up Airflow on Kubernetes
Configuring the official Helm chart of Airflow to use the Kubernetes Executor and many different features
Deploying DAGs in Airflow with Git-Sync and AWSEFS
Deploying DAGs/Airflow through CI/CD pipelines with AWSCodePipeline
Testing your DAGs automatically
Securing your credentials and sensitive data in a Secret Backend
Enabling remote logging with AWSS3
Creating 3 different environments dev/staging and prod
Making the production environment scalable and highly available
and more!
WARNING:
The course is not meant to learn the basic of Airflow, you must be already familiar with it.
If you already know Kubernetes/Docker/AWS your learning will be easier, but no worries I explain everything you need.
YOUWON'T learn how to interact with AWS in your DAGs. This course is about designing an architecture not about DAGs.
The course is NOT free-tier eligible as we are going to use many AWS services and set up a real world architecture.
