How to Trigger Google Cloud Functions with Cloud Storage | GCP Python Tutorial
Learn how to automate file processing using Google Cloud Platform (GCP)! In this step-by-step tutorial, I walk you through creating a serverless pipeline where uploading a text file to a Google Cloud Storage Bucket automatically triggers a Cloud Run Function (formerly Cloud Functions) using Python.
This video also covers the solution for the "Introduction to Big Data" Week 3 Graded Assignment 2. We will cover writing the Python logic to find the longest line in a text file, preventing infinite loop triggers, testing the function, and troubleshooting common IAM permission errors (Pub/Sub Publisher roles).
What you will learn in this video:
• How to create and configure a Google Cloud Storage Bucket.
• How to deploy a Python Cloud Function (Cloud Run Functions).
• How to set up Eventarc triggers between Cloud Storage and Cloud Functions.
• How to write Python code to read/write files in GCP Storage.
• How to fix common trigger and IAM permission errors.
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