Apache Airflow on AWS EKS: The Hands-On Guide

[lovewarez]

Apache Airflow on AWS EKS: The Hands-On Guide
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 92 lectures (9h 15m) | Size: 5.66 GB

How to set up Apache Airflow on AWS EKS with the Kubernetes Executor and be production-ready! 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

Requirements
A good knowledge of Apache Airflow
A intermediate knowledge of AWS
A intermediate knowledge of Docker and Kubernetes
AWS SERVICES USED ARE NOT FREE TIER ELIGIBLE

Description
Struggling to set up Airflow on AWS EKS?

You are at the right place!

With more than 10,000 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 AWS EKS

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 AWS EFS

Deploying DAGs/Airflow through CI/CD pipelines with AWS CodePipeline

Testing your DAGs automatically

Securing your credentials and sensitive data in a Secret Backend

Enabling remote logging with AWS S3

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.

YOU WON'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.

Who this course is for
Data engineers
Software Engineers
DevOps

https://www.udemy.com/course/apache-airflow-on-aws-eks-the-hands-on-guide/

PLEASE SUPPORT ME BY CLICK ONE OF MY LINKS IF YOU WANT BUYING OR EXTENDING YOUR ACCOUNT

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