Predefined Dashboards

Overview

Finout offers out-of-the-box dashboards that provide instant visibility into costs across key cloud services and providers like AWS, GCP, Azure, Snowflake, and Datadog. Each dashboard focuses on a specific service (e.g., EC2, RDS, GCP Storage, Kubernetes) and delivers detailed visual breakdowns.

These dashboards save time, follow FinOps best practices, and help teams quickly gain insights without building from scratch. Users can interact with each dashboard, explore metrics, and customize them as needed by cloning.

Dashboard Types

Dashboard Name	Description
AWS
AWS EC2 Compute costs	Displays EC2 instance running hours and attached storage usage. Helps identify usage patterns and potential over-provisioning.
AWS EC2 Compute & Storage Usage (Running Hours & GB)	Track EC2 instance running hours alongside associated storage usage in gigabytes. This dashboard helps you understand usage patterns and spot over-provisioned or underutilized resources.
AWS S3 and Storage cost	Analyze your AWS S3 and other storage-related costs, including usage by storage class and bucket. Useful for identifying cost drivers and opportunities to optimize long-term storage.
AWS RDS Compute & Storage Usage (Running Hours & GB)	See detailed RDS instance runtime and storage usage over time. This dashboard helps you align database compute and storage with actual demand to reduce waste.
AWS RDS Compute costs	Focuses specifically on the compute portion of your RDS spend. Ideal for monitoring cost efficiency by instance type, region, or database engine.
AWS ElastiCache Compute costs	Visualizes ElastiCache compute costs across instance types and regions. Helps identify scaling inefficiencies or underused clusters in your caching layer.
AI Overview	A high-level dashboard of AI spend in AWS that compares total costs, tracks AI as a share of overall cloud spend, views spend by AWS services, and forecasts future investments.
GCP
GCP Compute costs	Breaks down GCP compute expenses by service, project, and instance type. Use this dashboard to monitor usage trends and optimize your GCP virtual machines.
GCP Storage	Provides visibility into GCP storage usage and costs by bucket, class, and region. Helps track growth and optimize storage tier usage over time.
GCP Networking	Highlights GCP networking costs such as egress and inter-region traffic. Useful for monitoring high-volume data movement and controlling data transfer spend.
GCP Commitments	Shows your committed use discounts (CUDs) and how they’re applied across your GCP environment. Helps track utilization and spot unused commitments.
Azure
Azure costs	Get a high-level view of your Azure cloud spend, broken down by services, resource groups, and regions. Use this dashboard to monitor trends and optimize usage across your Azure environment.
FinOps for AI Azure Dashboard – Alpha	An early-stage dashboard focused on monitoring Azure AI spend. Track service-level usage, identify spending trends, and visualize cost distribution across models, tokens, and subscriptions.
Kubernetes
Kubernetes Costs	Breaks down Kubernetes costs by cluster, namespace, workload, and label. Built to help you understand infrastructure spend across your containerized environments.
Datadog
Datadog Costs	Displays Datadog usage and costs by service type, account, and integration. Useful for identifying the most expensive components and optimizing observability spend.
Snowflake
Snowflake costs	Visualizes Snowflake costs by warehouse, query type, and usage pattern. Enables better tracking of data warehouse spend and rightsizing of compute resources.
AI
FinOps for AI Dashboard (General)	Overview of AI spending across all cloud providers. Compare total spend, analyze AI as a percentage of overall cloud costs, and forecast future AI investments across AWS, GCP, and Azure.
OpenAI Overview	A high-level dashboard to track OpenAI spend across projects, users, and models. This helps you monitor usage trends, break down cost drivers, and spot optimization opportunities before unexpected spikes occur.
FinOps for AI Azure Dashboard	Provides full visibility into Azure AI spend. Track service-level usage, analyze spending trends, and visualize cost distribution across models, tokens, and subscriptions. Identify optimization opportunities and monitor AI cost efficiency across your Azure environment.
FinOps for AI AWS Dashboard	Provides visibility into AI-related AWS services. Analyze usage and cost trends for AI workloads, compare regions or services, and track optimization opportunities.
FinOps for AI AWS Bedrock	Dedicated dashboard for AWS Bedrock services. View cost and usage by model, track inference patterns, and identify cost-saving opportunities across Bedrock workloads.

Customize Predefined Dashboards

Predefined dashboards can’t be edited directly. To make changes, you’ll need to clone the dashboard and customize the duplicated version.

Note:

• Users with ACL restrictions and data access permissions may not see all data within a dashboard, even if they can access or clone it.

• In some cases, users may be unable to clone dashboards if all underlying data falls outside their permitted access.

1. In Finout, navigate to Dashboards.

   
2. Click and then click Clone dashboard.

3. Navigate to All or Custom Dashboards on the right side of Dashboards.

   
4. Click on the Copy of the predefined dashboard and edit in order to fully customize the cloned dashboard. See manage dashboards for more information.