Setup Cloud Composer with Best Practices (Apache Airflow on GCP) [Full Tutorial]
Learn how to get started with Google Cloud Composer, the fully managed data workflow orchestration service built on Apache Airflow. This tutorial covers:
• Setting up a Cloud Composer environment
• Best practices for development and production
• Creating your first Airflow workflow (DAG)
• Optimizing performance and costs
• DAG authoring tips and idempotency
Perfect for data engineers and analysts looking to automate and manage complex data pipelines in Google Cloud. Includes practical examples and expert tips to help you leverage Cloud Composer effectively.
Demonstration Code and Diagram: https://github.com/nodematiclabs/comp...
Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off)
If you are a cloud, DevOps, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel.
0:00 Conceptual Overview
0:19 Cloud Composer Service
0:48 Airflow Cluster Setup
2:49 Composer Environments
3:35 Monitoring and Alerting
5:45 Logging Observability
6:42 Kubernetes Autopilot
8:01 DAG Basics (Python)
11:55 Service Accounts
12:59 CPU and Memory Tuning
14:16 Idempotent Tasks