GCP Compute Disk Age ReportGCP Compute Disk DashboardGCP Compute Disk DetailGCP Compute Disk Encryption ReportGCP Compute Instance Age ReportGCP Compute Instance DashboardGCP Compute Instance DetailGCP Compute Instance Group DetailGCP Compute Network DashboardGCP Compute Network DetailGCP Compute Subnetwork DetailGCP IAM Service Account DetailGCP IAM Service Account Key Age ReportGCP KMS Key Age ReportGCP KMS Key DashboardGCP KMS Key DetailGCP Kubernetes Cluster Age ReportGCP Kubernetes Cluster DashboardGCP Kubernetes Cluster DetailGCP Project ReportGCP Pub/Sub Topic DetailGCP SQL Database Instance DashboardGCP SQL Database Instance DetailGCP Storage Bucket Age ReportGCP Storage Bucket DashboardGCP Storage Bucket DetailGCP Storage Bucket Encryption Report
Dashboard: GCP Compute Disk Detail
This dashboard answers the following questions for each disk:
- How is the disk configured?
- What relationships does the disk have with other resources?
- What tags are applied?
- What instances is it attached to?
- How is encryption configured?
- What is the read and write throughput?
This dashboard contains 5 cards, 1 graph, 1 input and 4 tables.
Usage
Install the mod:
mkdir dashboardscd dashboardspowerpipe mod initpowerpipe mod install github.com/turbot/steampipe-mod-gcp-insightsStart the Powerpipe server:
steampipe service startpowerpipe serverOpen http://localhost:9033 in your browser and select GCP Compute Disk Detail dashboard.
You could also snapshot and share results via Turbot Pipes:
powerpipe loginpowerpipe dashboard run gcp_insights.dashboard.compute_disk_detail --shareQueries
This dashboard uses the the following queries:
with disks as ( select instance_selflink from gcp_compute_disk, jsonb_array_elements_text(users) as instance_selflink where id = (split_part($1, '/', 1))::bigint and project = split_part($1, '/', 2))select i.name as "Name", i.id::text as "Instance ID", i.status as "Instance State"from disks as d left join gcp_compute_instance as i on i.self_link = d.instance_selflink;