Compute Optimizer Dashboard
Introduction
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):
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Find over and underutilized resources (EC2, AutoScaling Groups, EBS, Lambda).
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Get right-sizing recommendations.
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Identify potential savings across all payer accounts and regions.
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Track optimization progress over time by AWS Account team or business unit.
Architecture

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AWS Compute Optimizer Collects the data about running instances and uses Machine Learning to generate recommendations
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CID Data Collection has a 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 data collection stack. By default it i scheduled for every 14 days, but it can be changed in the parameters of the Data Collection Stack.
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The AWS Compute Optimizer exports data to regional buckets.
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The replication mechanisms consolidates all data from regional buckets to one data bucket. All exports on regional bucket will be deleted after 1 day as per lifecycle policy.
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Quicksight Dataset refreshes daily to show the latest state on the dashboard.
Learn more
See also:
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A basics of Compute Optimizer Right Sizing in a lab 200 Rightsizing with Compute Optimizer
Demo Dashboard
Get more familiar with Dashboard using the live, interactive demo
dashboard following this
link

Prerequisites
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To get right sizing recommendations you need to Enroll all accounts to Compute Optimizer. You can use free version that provides recommendations based on 14 days of look-back period.
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Deploy or update Data Collection Lab and make sure AWS Compute Optimizer Data Collection Module is enabled.
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Ensure you have Compute Optimizer enabled at Organization level.
Deployment
Update
Please note that dashboards are not updated with update of CloudFormation Stack. When new version of the dashboard template is released, you can update your dashboard by running the following command in your command-line interface:
cid-cmd update --dashboard-id compute-optimizer-dashboard
OPTIONAL STEPS
Manage Business Units Map
For managing Business Units please modify business_units_map view. You can update view definition providing your values, or you can create an csv file upload to s3, create a table and set business_units_map view to select from this table.
CREATE OR REPLACE VIEW business_units_map AS SELECT * FROM ( VALUES ROW ('`111111111`', '`account1`', '`Business Unit 1`') , ROW ('`222222222`','`account2`', '`Business Unit 2`') ) ignored_table_name (account_id, account_name, bu)
Also you can use business_units_map view as a proxy to other data sources.
In case if you do not need Business Units functionality and you have CUDOS dashboard installed with account_map, you can use this view to SELECT from account_map.
CREATE OR REPLACE VIEW business_units_map AS SELECT account_id as account_id, account_name as account_name, '`Undefined`' as bu FROM account_map
Authors
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Iakov Gan, Senior Solution Architect
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Yuriy Prykhodko, Principal Technical Account Manager
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Voicu Chirtes, Senior Technical Account Manager
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Timur Tulyaganov, Ex-Amazonian
Feedback & Support
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Note
These dashboards and their content: (a) are for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS content, products or services are provided "as is" without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers.