📋Reports
Break cost and usage down by account, service, SKU, tag, region, egress path or commitment, over any date range, as a table or a chart.
Every report answers three questions: which dimension to break cost down by, how to group it, and over which dates. The Showing selector sets the dimension and is the first control to set. Changing it re-scopes the rest of the control bar, rewrites the AI insight, and changes which visualizations are available.
The Reports provide you with the following information and controls:
Areas of the page
Three zones, top to bottom:
Summary Cards: Four fixed figures above the report.
Control bar: Main panel that shapes the report. This is where AI Insight, the Action toolbar, and other controls like Showing, Group by, dates, and the visualization picker are present.
Result area: The table or chart itself.
Summary cards
The top of the page displays the following four KPIs for the selected cloud provider:
Total spend (last month)
Total spend (this month so far)
Services used
Total potential savings
Control Bar
AI insight
The sentence at the top of the control panel is generated from the same figures the table below it shows. It states one finding, anchors it in time, and names a next step. It is rewritten whenever the dimension, the date range or the frequency changes.
Example (Insight on the Commitments tab):
Savings Plan coverage sits at 62% with 94% utilization, leaving 38% of eligible compute at On Demand rates. A small top up would lift coverage without waste.
Action toolbar
The small toolbar at the right of the contol panel.
Filters
Applies filters to narrow down the data displayed based on specific criteria
Download as CSV
Download the data in CSV format for further analysis
Notifications
Opens up a dropdown to configure cost, budget, or summary alerts
Targets
Commitments only
Appears only on the Commitments tab. Let's you set your savings rate baseline, the time period to measure it over, and the channels that get warned before a commitment expires.
Control reference
Showing
The main report dimension
From (Project selector)
Select the project for which data will be displayed
Formatted as (visualization format)
Specify the desired format for visualizing the data, such as table, bar chart, pie chart, or line chart
During (Date selector)
Select a specific date range for filtering the data
Frequency
Groups the data based on a daily, weekly, or monthly basis
With credits
When switched on, it displays the cost subtotal for which you are accountable, i.e., the actual cost minus discounts or promotions
Amortized
Distributes costs evenly across time, rather than showing them only when expenses occur.
Cost dimensions
You can control the shown data by configuring the following:
Projects (GCP)/ Accounts (AWS)/ Subscriptions (Azure)
Shows the cost associated with each project, account or subscription
Services
Shows the cost associated with services used in your cloud environment
SKUs
Shows the cost associated with each used SKU in your cloud environment
Labels (GCP)/ Tags (AWS & Azure)
Shows the cost associated with each label or tag in your cloud environment
Networking (GCP)/ Data Transfer (AWS)/ Bandwidth (Azure)
Shows the associated cost or usage for networking or data transfer in your cloud environment
Network Egress
Shows where your data transfer cost comes from
Regions
Shows the associated cost or usage broken down by the cloud region (e.g. us-east-1, europe-west1) where your resources are deployed
Machine Types (GCP)/ Instance Types (AWS & Azure)
Shows the associated cost or usage broken down by the compute resource configuration (vCPU, memory, and hardware family) provisioned across your cloud environment
Operations
Breaks down costs by operation, such as S3 GET and PUT requests. Useful for catching a misconfigured retry loop or a sudden spike in request volume
Commitments
Shows your Reserved Instances and Savings Plans, the money you save by committing to usage in advance
For GCP projects you can also analyze the cost breakdown for the following specific services:
BigQuery
Shows the BigQuery costs associated with a project which can be further analyzed based on Top queries, Top datasets, Top tables, and Top users Analyzing BigQuery costs by linking the logging export
Google Kubernetes Engine (GKE)
Shows the GKE costs associated with a project which can be further analyzed based on Cluster costs, Namespace costs, Label costs, and Cluster details Analyzing GKE costs
Cloud Logging
Provides Cloud Logging breakdown for the cost and volume of a project
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