Apache Airflow 2.0 using Docker, Docker Swarm

GroupLayout for Engagement: Apache Airflow 2.0 using Docker & Docker Swarm: Setup Resilient Airflow 2.0.1

Why Am I Conducting this Course? 🧐 Ganesh Dhareshwar here, your guide on a deep-dive into resilient and scalable Airflow configurations using the power of Docker and Docker Swarm. When tasked with setting up Airflow in my organization, I was met with the challenge of orchestrating each Airflow component individually within a Docker Compose setup—a process that took me weeks. The Airflow community offers a single Docker Compose file for ease of use, but when it comes to production environments, distributing components across different machines is not only recommended but necessary. There was also a gap in the availability of Docker images ready for deployment on a Docker Swarm. My journey to achieve a fault-tolerant, resilient, and distributed Highly Available Airflow setup using Docker Swarm was filled with trials and errors. I've now compiled all my knowledge and experiences into this course so that you can bypass the struggles and directly gain the insights needed for your own robust Airflow setups.

What Do You Learn From This Course? 🎓 This course is designed to empower you with a comprehensive understanding of resilient Airflow 2.0.1 utilizing Docker and Docker Swarm technologies. Here's what you can expect to learn:

• Docker Fundamentals: No prior Docker experience? No problem! We'll cover the essential Docker concepts that are crucial for the course.

• Airflow 2.0 Overview: Understand why Airflow 2.0 is a significant upgrade over its predecessor, with features and improvements that enhance its capabilities.

• Airflow High Availability (HA) Architecture: Learn about the architecture and requirements of an HA setup for Airflow.

• Dockerizing Applications: Start by containerizing individual applications using Docker Compose on AWS instances.

• Benchmarking with Multiple Schedulers: Test the system's robustness by running multiple Airflow schedulers and analyzing the results.

• Docker Swarm Essentials: Master the concepts of Docker Swarm architecture, commands, networking, and how to deploy applications using services.

• Creating a Swarm Cluster: Set up your own Swarm cluster and learn how to deploy Airflow services seamlessly across it.

Course Structure:

1. Introduction to Docker & Docker Compose 🐳

   • Understanding Docker Containers
   • Docker Compose for multi-container applications

2. Deep Dive into Airflow 2.0 🚀

   • What's new in Airflow 2.0
   • Setting up and configuring Airflow 2.0.1

3. Airflow High Availability Architecture 🏢

   • Understanding the components required for HA setup
   • Designing a fault-tolerant architecture

4. Dockerizing Airflow Components 🔧

   • Containerizing each component of Airflow individually
   • Docker Compose to orchestrate all components

5. Benchmarking and Testing 📈

   • Running multiple Airflow schedulers and monitoring performance

6. Introduction to Docker Swarm 🌍

   • Key concepts of Docker Swarm
   • Creating a Swarm cluster for high availability

7. Deploying Airflow with Docker Swarm 🎇

   • Translating the docker-compose setup into Docker Swarm commands
   • Deploying Airflow services on a Swarm cluster

Join me, Ganesh Dhareshwar, in this journey to master Apache Airflow using Docker and Docker Swarm. Let's build robust, scalable, and resilient data workflows together! 🚀💧✨