Egor Naumov

FinOps Tools

Wednesday, July 2, 2025

The Multi-Cloud FinOps Deployment Service is a comprehensive solution designed to install, configure, and optimize Financial Operations Management (FinOps) tools across hybrid and multi-cloud environments, including AWS, Microsoft Azure, Google Cloud Platform (GCP), and on-premises infrastructure. This service addresses the critical need for data-driven cloud cost optimization, governance visualization, anomaly detection, and unlocking ROI through detailed unit economics analysis in today’s cloud-centric business landscape. By leveraging industry best practices and advanced automation, the service ensures seamless integration, scalability, and actionable insights for organizations managing diverse cloud portfolios.

Benefits:

Cost Optimization: Reduces cloud spend by 20-30% through data-driven insights and automation, surpassing single-cloud approaches.

Governance Visibility: Offers a single pane of glass for governance across multi-cloud environments, enhancing compliance and audit readiness.

ROI Unlocking: Enables detailed unit economics analysis to align cloud costs with business value, supporting strategic decision-making.

Scalability: Supports dynamic scaling as cloud usage grows, accommodating new accounts or providers seamlessly.

Tools offered:

CUDOS Dashboard - The CUDOS (Cost and Usage Dashboard Operations Solution) is an in-depth, granular, and recommendation-driven dashboard to help customers dive deep into cost and usage and to fine-tune efficiency. Executives, directors, and other individuals within the CIO or CTO line of business or who manage DevOps and IT organizations will find the CUDOS Dashboard highly detailed and tailored to solve their use cases. Out-of-the-box benefits of the CUDOS dashboard include (but are not limited to):

  • Use the built-in tag explorer to group and filter cost and usage by your tags.

  • View resource-level detail such as your hourly AWS Lambda or individual Amazon S3 bucket costs.

  • Get alerted to service-level areas of focus, such as the top 3 On-Demand database instances by cost.

KPI Dashboard - The KPI and Modernization Dashboard helps your organization combine DevOps and IT infrastructure with Finance and the C-Suite to grow more efficiently and effectively on AWS. This dashboard lets you set and track modernization and optimization goals such as percent OnDemand, Spot adoption, and Graviton usage. By enabling every line of business to create and track usage goals, and your cloud center of excellence to make recommendations organization-wide, you can grow more efficiently and innovate more quickly on AWS. Out-of-the-box benefits of the KPI dashboard include (but are not limited to):

  • Track percent on demand across all your teams.

  • See potential cost savings by meeting certain KPIs and goals for your organization.

  • Quickly locate cost-optimization opportunities such as infrequently used S3 buckets, old EBS snapshots, and Graviton-eligible instance usage.

Compute Optimizer Dashboard - AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Compute Optimizer Dashboard lets you view cost optimization and risk reduction opportunities for all accounts in your AWS Organizations across all AWS Regions. Out-of-the-box benefits of the COD include (but are not limited to):

  • Find over- and underutilized resources (EC2, AutoScaling Groups, EBS, Lambda).

  • Get right-sizing recommendations.

  • Identify potential savings across all payer accounts and regions.

  • Track optimization progress over time by the AWS Account team or business unit.

  1. AWS Compute Optimizer collects data about running instances and uses Machine Learning to generate recommendations

  2. CID Data Collection has Lambda functions that, on schedule, assume a role in Management account(s) to trigger an export of AWS Compute Optimizer in each region configured in the data collection stack. By default, it is scheduled for every 14 days, but this can be changed in the parameters of the Data Collection Stack.

  3. The AWS Compute Optimizer exports data to regional buckets.

  4. The replication mechanism consolidates all data from regional buckets into one data bucket. All exports from regional buckets will be deleted after 1 day, as per the lifecycle policy.

  5. Quicksight Dataset refreshes daily to show the latest state on the dashboard.