• This is not a Google product or software
• Use the new version in python. The old scripts stays in place for historic.

A script that extracts information from one, or more, GCP projects, that can be used for any kind of analysis. Its a inventory of your cloud.

Calling the collect.py program the process read and exports data to csv ou excel, you choose.

• Use a Service Account that has ONLY read-only access, although this script does not change anything in the cloud, it's a good practice to give only the access needed.

pip3 install -r requirements.yaml
./collect.py

. Requirements file generated by pipreqs.

You can save the collect date to csv, xls or json, by using the -o parameter. If ommited will assume the default csv. The files will going to be saved in ./output folder. Example: Save both to csv and xls.

./collect.py -o csv -o xls

Output patterns:

By using the parameters -r is possible to determine just a kind of resources to collect data. This parameters can be used multiple times. Example: Collect data of gcs and gke only:

./collect.py -r gcs -r gke

• Virtual Machines
• CloudSQL
• Functions
• GCS
• GKE
• Artifact Registry
• PubSub
• Deployment Manager
• VPC
• VPN

By passing parameter -m will allow to loop through multiple projects. Text file format: List of project_id(Number) saperated by new line. i.e:

./collect.py -m projects.txt -r compute

• Question: Why reading compute machines that some time?
  Response: During the process of reading compute machines, the collector reads also the 1-The metrics of CPU from the monitoring service 2-Get the machineType for CPU e mem