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cloud-foundation-fabric/examples/cloud-operations/network-dashboard/README.md

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Networking Dashboard

This repository provides an end-to-end solution to gather some GCP Networking quotas and limits (that cannot be seen in the GCP console today) and display them in a dashboard. The goal is to allow for better visibility of these limits, facilitating capacity planning and avoiding hitting these limits.

Usage

Clone this repository, then go through the following steps to create resources:

  • Create a terraform.tfvars file with the following content:
    • organization_id = "[YOUR-ORG-ID]"
    • billing_account = "[YOUR-BILLING-ACCOUNT]"
    • monitoring_project_id = "project-0" # Monitoring project where the dashboard will be created and the solution deployed
    • monitored_projects_list = ["project-1", "project2"] # Projects to be monitored by the solution
  • terraform init
  • terraform apply

Once the resources are deployed, go to the following page to see the dashboard: https://console.cloud.google.com/monitoring/dashboards?project=. A dashboard called "quotas-utilization" should be created.

The Cloud Function runs every 5 minutes by default so you should start getting some data points after a few minutes. You can change this frequency by modifying the "schedule_cron" variable in variables.tf.

Once done testing, you can clean up resources by running terraform destroy.

Supported limits and quotas

The Cloud Function currently tracks usage, limit and utilization of:

  • active VPC peerings per VPC
  • VPC peerings per VPC
  • instances per VPC
  • instances per VPC peering group
  • Subnet IP ranges per VPC peering group
  • internal forwarding rules for internal L4 load balancers per VPC
  • internal forwarding rules for internal L7 load balancers per VPC
  • internal forwarding rules for internal L4 load balancers per VPC peering group
  • internal forwarding rules for internal L7 load balancers per VPC peering group

It writes this values to custom metrics in Cloud Monitoring and creates a dashboard to visualize the current utilization of these metrics in Cloud Monitoring.