This project involves building a Python-based automation script that provisions, starts, stops, and deletes Compute Engine virtual machines on GCP. The script uses Google Cloud SDK authentication, API calls, and configuration parameters to manage VM lifecycle operations efficiently, simulating real-world infrastructure automation scenarios used by cloud teams.

In this project, learners create a Python application that uploads, downloads, and lists files in Google Cloud Storage buckets. The tool applies IAM permissions, handles metadata, and implements error handling, reflecting common enterprise workflows for cloud-based file storage and data transfer.

This project focuses on developing a Python script that fetches basic monitoring metrics and logs from GCP resources. It demonstrates how to identify operational issues, automate checks, and generate simple reports, mirroring entry-level cloud monitoring and operations tasks.