37 lines
2.0 KiB
Markdown
37 lines
2.0 KiB
Markdown
# Networking Dashboard
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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.
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The goal is to allow for better visibility of these limits, facilitating capacity planning and avoiding hitting these limits.
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## Usage
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Clone this repository, then go through the following steps to create resources:
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- Create a terraform.tfvars file with the following content:
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- organization_id = "[YOUR-ORG-ID]"
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- billing_account = "[YOUR-BILLING-ACCOUNT]"
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- monitoring_project_id = "project-0" # Monitoring project where the dashboard will be created and the solution deployed
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- monitored_projects_list = ["project-1", "project2"] # Projects to be monitored by the solution
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- `terraform init`
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- `terraform apply`
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Once the resources are deployed, go to the following page to see the dashboard: https://console.cloud.google.com/monitoring/dashboards?project=<YOUR-MONITORING-PROJECT>.
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A dashboard called "quotas-utilization" should be created.
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The Cloud Function runs every 5 minutes by default so you should start getting some data points after a few minutes.
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You can change this frequency by modifying the "schedule_cron" variable in variables.tf.
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Once done testing, you can clean up resources by running `terraform destroy`.
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## Supported limits and quotas
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The Cloud Function currently tracks usage, limit and utilization of:
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- active VPC peerings per VPC
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- VPC peerings per VPC
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- instances per VPC
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- instances per VPC peering group
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- Subnet IP ranges per VPC peering group
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- internal forwarding rules for internal L4 load balancers per VPC
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- internal forwarding rules for internal L7 load balancers per VPC
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- internal forwarding rules for internal L4 load balancers per VPC peering group
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- internal forwarding rules for internal L7 load balancers per VPC peering group
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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. |