Automated Video/Audio Processing Tutorial (Apache Airflow)

In this tutorial, we explore the world of Apache Airflow by orchestrating a media processing pipeline using Google Cloud Composer. Specifically, we’ll guide you through an end-to-end workflow for extracting audio from video files, transcribing the audio using Google Cloud Speech-to-Text, and saving the transcript to cloud storage.

Key takeaways:

1. Learn how to set up and manage a serverless Cloud Composer environment on Google Kubernetes Engine Autopilot.

2. Build a DAG to extract audio from video files using ffmpeg and the Kubernetes Pod Operator.

3. Create a custom operator for long audio transcription jobs with Google Cloud Speech-to-Text.

4. Use Python operators to clean up and upload the transcript to Google Cloud Storage.

5. Gain insights into managing Kubernetes permissions and RBAC to ensure smooth execution of your DAGs.