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Preset reports

Cloud Analytics comes with several preset reports to help you get started. The available preset reports vary with your subscription plan.

Generic​

  • Cost by Project/Account: The top 10 Google Cloud projects, AWS accounts, or Azure accounts by cost in the last 30 days.

  • Cost by service: The top 10 services by cost in the last 30 days.

  • Historical Cloud Native Costs by Platform: Your costs in the last 12 months by cloud platform, excluding Marketplace expenses and promotional credits.

  • Historical Marketplace Purchases by Platform: Your Marketplace expenses in the last 12 months by cloud platform and service.

  • Monthly Cost by Service 12mo: Your overall costs with a breakdown by service in the last 12 months.

  • Monthly Credits History 12mo: Monthly credits (e.g., committed use discounts, sustained use discounts, free-tier usage of a service) in the last 12 months.

  • Services Breakdown: The top 10 services by cost in the last 30 days. It also allows you to drill down to each service's top 10 cost-generating SKUs.

  • This Month vs. Last: Daily cost comparison between the current and the previous month.

  • Trending services: Services identified as trending (either trending up or down) in the last 60 days.

Google Cloud​

  • Cloud SQL CUD Eligible Consumption: Eligible Google Cloud spend for Cloud SQL CUD commitments with a breakdown by region.

  • Cloud Run CUD Eligible Consumption: Eligible Google Cloud spend for Cloud SQL Run commitments with a breakdown by region.

  • GCP Compute CUD Coverage: Google Compute Engine resource (CPU, memory) eligible for CUD. Uses the preset metric GCE CUD Coverage and render the CUD utilization as a row heatmap.

  • Control Plane Cost: Cost of the GKE control plane across all clusters in the last 6 months.

  • GKE Infrastructure Cost: The top 10 SKUs by cost of GKE nodes across all clusters in the last 12 months with a forecast for the next 12 months. Useful for Understanding GKE costs.

Amazon Web Services​

Flexsave​

  • Flexsave Compute: To better understand how Flexsave covers your AWS workloads.

  • Flexsave RDS: To better understand how Flexsave covers your usage of on-demand DB instances.

  • Flexsave SageMaker: To better understand how Flexsave covers your usage of SageMaker ML instances.

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