massive doc migration (#1277)

Author: iakov-gan

CID-CMD.md

@@ -2,7 +2,7 @@
 
 Cloud Intelligence Dashboards provides a python tool for installation and upgrade of Dashboards. This tool can also export dashboards to deployable artifacts including QuickSight Dashboards, Athena Views, Glue Tables etc.
 
-CID is also provided in a form of CloudFormation templates. See detailed instructions in the [Well Architected Workshop](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational/cudos-cid-kpi/deploy) site.
+CID is also provided in a form of CloudFormation templates. See detailed instructions in the [AWS Documentation](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/deployment-in-global-regions.html) site.
 
 
 ## Before you start

README.md

@@ -21,15 +21,15 @@
 ## Overview
 The Cloud Intelligence Dashboards is an open-source framework, lovingly cultivated and maintained by a group of customer-obsessed AWSers, that gives customers the power to get high-level and granular insight into their cost and usage data. Supported by the Well-Architected framework, the dashboards can be deployed by any customer using a CloudFormation template or a command-line tool in their environment in under 30 minutes. These dashboards help you to drive financial accountability, optimize cost, track usage goals, implement best-practices for governance, and achieve operational excellence across all your organization.
 
-Cloud Intelligence Dashboards Framework provides AWS customers with [more then 20 Dashboards](https://catalog.workshops.aws/awscid/dashboards/).
+Cloud Intelligence Dashboards Framework provides AWS customers with [more then 20 Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboards.html).
 * Foundational Dashboards - A set of main Dashboards that only require Cost and Usage Report(CUR)
 * Advanced Dashboards - Require CID Data Collection and CUR
 * Additional Dashboards - Require various custom datasources or created for very specific use cases.
 
-We recommend starting with deployment of [Foundational Dashboards](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational/cudos-cid-kpi/deploy). Then deploy [Data Collection](https://catalog.workshops.aws/awscid/en-US/data-collection) and [Advanced Dashboards](https://catalog.workshops.aws/awscid/en-US/dashboards/advanced). Check for [Additional](https://catalog.workshops.aws/awscid/en-US/dashboards/additional) Dashboards.
+We recommend starting with deployment of [Foundational Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboard-foundational.html). Then deploy [Data Collection](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/data-collection.html) and [Advanced Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboards.html#advanced-dashboards). Check for [Additional](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboards.html#additional-dashboards) Dashboards.
 
 
-[![Documentation >](assets/images/documentation.svg)](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational/cudos-cid-kpi/deploy)
+[![Documentation >](assets/images/documentation.svg)](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/deployment-in-global-regions.html)
 
 
 ## Architecture of Foundational Dashboards
@@ -39,9 +39,9 @@ We recommend starting with deployment of [Foundational Dashboards](https://catal
 2. [Amazon S3](https://aws.amazon.com/s3/) replication rule copies Export data to a dedicated Data Collection Account S3 bucket automatically.
 3. [Amazon Athena](https://aws.amazon.com/athena/) allows querying data directly from the S3 bucket using an [AWS Glue](https://aws.amazon.com/glue/) table schema definition.
 4. [Amazon QuickSight](https://aws.amazon.com/quicksight/) creates datasets from [Amazon Athena](https://aws.amazon.com/athena/), refreshes daily and caches in [SPICE](https://docs.aws.amazon.com/quicksight/latest/user/spice.html)(Super-fast, Parallel, In-memory Calculation Engine) for [Amazon QuickSight](https://aws.amazon.com/quicksight/)
-5. User Teams (Executives, FinOps, Engineers) can access Cloud Intelligence Dashboards in [Amazon QuickSight](https://aws.amazon.com/quicksight/). Access is secured through [AWS IAM](https://aws.amazon.com/iam/), IIC ([AWS IAM Identity Center](https://aws.amazon.com/iam/identity-center/), formerly SSO), and optional [Row Level Security](https://catalog.workshops.aws/awscid/en-US/customizations/row-level-security).
+5. User Teams (Executives, FinOps, Engineers) can access Cloud Intelligence Dashboards in [Amazon QuickSight](https://aws.amazon.com/quicksight/). Access is secured through [AWS IAM](https://aws.amazon.com/iam/), IIC ([AWS IAM Identity Center](https://aws.amazon.com/iam/identity-center/), formerly SSO), and optional [Row Level Security](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/row-level-security.html).
 
-This foundational architecture is recommended for starting and allows deployment of [Foundational Dashboards](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational) like CUDOS, CID and KPI.
+This foundational architecture is recommended for starting and allows deployment of [Foundational Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboard-foundational.html) like CUDOS, CID and KPI.
 
 ## Architecture of Advanced Dashboards
 ![Advanced Architecture](assets/images/advanced-architecture.png  "Foundational Architecture")
@@ -50,14 +50,14 @@ This foundational architecture is recommended for starting and allows deployment
 2. [Amazon S3](https://aws.amazon.com/s3/) replication rule copies Export data to a dedicated Data Collection Account S3 bucket automatically.
 3. [Amazon Athena](https://aws.amazon.com/athena/) allows querying data directly from the S3 bucket using an [AWS Glue](https://aws.amazon.com/glue/) table schema definition.
 4. [Amazon QuickSight](https://aws.amazon.com/quicksight/) creates datasets from [Amazon Athena](https://aws.amazon.com/athena/), refreshes daily and caches in [SPICE](https://docs.aws.amazon.com/quicksight/latest/user/spice.html)(Super-fast, Parallel, In-memory Calculation Engine) for [Amazon QuickSight](https://aws.amazon.com/quicksight/)
-5. User Teams (Executives, FinOps, Engineers) can access Cloud Intelligence Dashboards in [Amazon QuickSight](https://aws.amazon.com/quicksight/). Access is secured through [AWS IAM](https://aws.amazon.com/iam/), IIC ([AWS IAM Identity Center](https://aws.amazon.com/iam/identity-center/), formerly SSO), and optional [Row Level Security](https://catalog.workshops.aws/awscid/en-US/customizations/row-level-security).
+5. User Teams (Executives, FinOps, Engineers) can access Cloud Intelligence Dashboards in [Amazon QuickSight](https://aws.amazon.com/quicksight/). Access is secured through [AWS IAM](https://aws.amazon.com/iam/), IIC ([AWS IAM Identity Center](https://aws.amazon.com/iam/identity-center/), formerly SSO), and optional [Row Level Security](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/row-level-security.html).
 6. Optionally, the Advanced data collection can be deployed to enable advanced dashboards based on [AWS Trusted Advisor](https://aws.amazon.com/premiumsupport/trustedadvisor/), [AWS Health](https://aws.amazon.com/premiumsupport/technology/aws-health-dashboard/) Events and other sources. Additional data is retrieved from [AWS Organizations](https://aws.amazon.com/organizations/) or Linked Accounts. In this case [Amazon EventBridge](https://aws.amazon.com/eventbridge/) rule triggers an [AWS Step Functions](https://aws.amazon.com/step-functions/) workflow for data collection modules on a configurable schedule.
 7. The "Account Collector" [AWS Lambda](https://aws.amazon.com/lambda/) in AWS Step Functions retrieves linked account details using AWS Organizations API.
 8. The "Data Collection" Lambda function in AWS Step Functions assumes role in each linked account to retrieve account-specific data via [AWS SDK](https://aws.amazon.com/developer/tools/).
 9. Retrieved data is stored in a centralized Amazon S3 Bucket.
-10. [Advanced Cloud Intelligence Dashboards](https://catalog.workshops.aws/awscid/en-US/dashboards/advanced) leverage Amazon Athena and Amazon QuickSight for comprehensive data analysis.
+10. [Advanced Cloud Intelligence Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboards.html#advanced-dashboards) leverage Amazon Athena and Amazon QuickSight for comprehensive data analysis.
 
-This advanced data collection architecture allows deployment of [Advanced Dashboards](https://catalog.workshops.aws/awscid/en-US/dashboards/advanced) like Trusted Advisor Dashboard, Health, Graviton, Compute Optimizer Dashboard and many more.
+This advanced data collection architecture allows deployment of [Advanced Dashboards](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboards.html#advanced-dashboards) like Trusted Advisor Dashboard, Health, Graviton, Compute Optimizer Dashboard and many more.
 
 
 ## Cost
@@ -126,23 +126,23 @@ There are several ways we can deploy dashboards:
 1. Using cid-cmd tool from command line
 1. [CloudFormation Template](./cfn-templates/cid-cfn.yml) using cid-cmd tool in Amazon Lambda. (Recommended)
 
-Please refer to the deployment documentation [here](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational/cudos-cid-kpi/deploy).
+Please refer to the deployment documentation [here](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/deployment-in-global-regions.html).
 
-[![Deployment Guide >](assets/images/deployment-guide-button.svg)](https://catalog.workshops.aws/awscid/en-US/dashboards/foundational/cudos-cid-kpi/deploy)
+[![Deployment Guide >](assets/images/deployment-guide-button.svg)](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/deployment-in-global-regions.html)
 
 
 ## Cleanup
-Please refer to the documentation [here](https://catalog.workshops.aws/awscid/en-US/dashboards/teardown).
+Please refer to the documentation [here](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/dashboard-teardown.html).
 
 ## FAQ
-Please refer to the documentation [here](https://catalog.workshops.aws/awscid/en-US/faqs).
+Please refer to the documentation [here](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/faq.html).
 
 ## Changelogs
 For dashboards please check Change Logs [here](changes/)
 For CID deployment tool, including Cli and CFN please check [Releases](/releases)
 
 ## Feedback
-Please reference to [this page](https://catalog.workshops.aws/awscid/en-US/feedback-support)
+Please reference to [this page](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/feedback-support.html)
 
 ## Security
 When you build systems on AWS infrastructure, security responsibilities are shared between you and AWS. This [shared responsibility

cfn-templates/cid-cfn.yml

@@ -19,7 +19,7 @@ Metadata:
           - DeployCostIntelligenceDashboard
           - DeployKPIDashboard
       - Label:
-          default: Trusted Advisor and Compute Optimizer Dashboards. To deploy these two dashboard, you must first deploy the Optimization Data Collection Lab (https://catalog.workshops.aws/awscid/en-US/data-collection/)
+          default: Trusted Advisor and Compute Optimizer Dashboards. To deploy these two dashboard, you must first deploy the Optimization Data Collection Lab (https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/data-collection.html)
         Parameters:
           - OptimizationDataCollectionBucketPath
           - DeployTAODashboard
@@ -198,12 +198,12 @@ Parameters:
     AllowedValues: ["yes", "no"]
   DeployTAODashboard:
     Type: String
-    Description: Deploy Trusted Advisor Organizational Dashboard (TAO) - WARNING! Before deploying this dashboard, you need Optimization Data Collection Lab to be installed first https://catalog.workshops.aws/awscid/en-US/data-collection/
+    Description: Deploy Trusted Advisor Organizational Dashboard (TAO) - WARNING! Before deploying this dashboard, you need Optimization Data Collection Lab to be installed first https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/data-collection.html
     Default: "no"
     AllowedValues: ["yes", "no"]
   DeployComputeOptimizerDashboard:
     Type: String
-    Description: Deploy Compute Optimizer Dashboard (COD) - WARNING! Before deploying this dashboard, you need Optimization Data Collection Lab to be installed first https://catalog.workshops.aws/awscid/en-US/data-collection/
+    Description: Deploy Compute Optimizer Dashboard (COD) - WARNING! Before deploying this dashboard, you need Optimization Data Collection Lab to be installed first https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/data-collection.html
     Default: "no"
     AllowedValues: ["yes", "no"]
   OptimizationDataCollectionBucketPath:

changes/CHANGELOG-cora.md

@@ -5,7 +5,7 @@
 * Improved ResourceType categorization to explicitly categorize Unattached EBS Volumes with new Resource Type 'EBS Volume: Unattached'
 
 ## CORA - v0.0.8
-Added support for organizational taxonomy https://catalog.workshops.aws/awscid/en-US/dashboards/add-organizational-taxonomy
+Added support for organizational taxonomy https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/add-organizational-taxonomy.html
 
 ## CORA - v0.0.7
 * Added Support of Idle recommendations

changes/CHANGELOG-cudos.md

@@ -11,7 +11,7 @@
 
 * **Executive: Trends**: Sheet 'MoM Trends' renamed to 'Trends'. Added control Trends Type which allows to switch between Monthly, Weekly and Daily Trends. Added control Trends Time Range which allows to adjust a time period when switching between Trend Types. Changed positioning of Product and Account Trends visuals to effectively present more than 3 trends periods. 
 * **Databases**: Added 'Amazon ElastiCache Redis Migration to Valkey - Adoption Tracking and Potential Savings' section with visuals 'ElastiCache Redis vs Valkey: Cost Breakdown', 'ElastiCache Valkey: Achieved Cost Efficiency Gains vs Redis', 'Monthly Cost Savings Opportunities with Migration to Valkey' and 'Redis Cache Instances and Serverlless Cache: Cost Savings Opportunities with migration to Valkey' to track migration progress to Valkey.
-* **Taxonomy Explorer**: 'TAGSplorer sheet complexly redesigned and renamed to Taxonomy Explorer. Now it allows to interactively explore cost and usage details across 2 Taxonomy Dimensions such as tags and account level mappings which added to the dashboard via new [Add Organizational Taxonomy](https://catalog.workshops.aws/awscid/en-US/dashboards/add-organizational-taxonomy) capability. 
+* **Taxonomy Explorer**: 'TAGSplorer sheet complexly redesigned and renamed to Taxonomy Explorer. Now it allows to interactively explore cost and usage details across 2 Taxonomy Dimensions such as tags and account level mappings which added to the dashboard via new [Add Organizational Taxonomy](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/add-org-taxonomy.html) capability. 
 * **AI/ML**: Added 'Amazon Bedrock Model Unit Cost' and 'Amazon Bedrock Cost per Legal Entity' visuals . Updated Bedrock UsageType Group for more accurate usage type categorization. Added Model Name calculated field to group different model ids under the same name on 'Amazon Bedrock Daily Cost per Resource' visual.
 * **Amazon S3 Summary**: Added 'Group By' control which allows to switch between S3 Operation and S3 UsageType Group in 'Total Cost per Bucket by Operation', 'Daily Cost Bucket Explorer' and 'Daily Storage Bucket Explorer' visuals.
 * **Analytics**: Added new section AWS Glue with 'AWS Glue Spend per Account','AWS Glue Spend per UsageType Group', 'AWS Glue Spend per Usage Type' and 'AWS Glue Detailed Resource View'  visuals.
@@ -68,7 +68,7 @@
 * **Databases:** Fix for Normalized Instance Hours not shown on RI Coverage and Daily Elasticity visuals.
 
 # CUDOS - 5.1.0
-**Important!** If you have CUDOS v5.0.0 deployed you can use [standard update process](https://catalog.workshops.aws/awscid/en-US/dashboards/update). If you have previous version deployed follow [this guide](https://catalog.workshops.aws/awscid/en-US/faqs#how-to-update-to-cudos-v5-if-i-have-previous-version-of-cudos-installed) to deploy CUDOS v5. You can check version of your currently deployed dashboard on the About tab.
+**Important!** If you have CUDOS v5.0.0 deployed you can use [standard update process](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/update-dashboards.html). If you have previous version deployed follow [this guide](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/faq.html#how-to-update-to-cudos-v5-if-i-have-previous-version-of-cudos-installed) to deploy CUDOS v5. You can check version of your currently deployed dashboard on the About tab.
 
 **Changes**
 * **Executive: Billing Summary**: Added control to group Invoice and Amortized Spend by Payer Account, Charge Type Group and Service Category from [FOCUS](https://focus.finops.org/#specification) specification.
@@ -82,7 +82,7 @@
 * **Storage**: Changed 'Volume Explorer: TOP 50 EBS Volume Details' filter from previous month to last 30 days.
 
 # CUDOS - 5.0.0
-**Important!** Learn more about CUDOS v5 and how to deploy in our [FAQ](https://catalog.workshops.aws/awscid/en-US/faqs#cudos-v5-faqs) page.
+**Important!** Learn more about CUDOS v5 and how to deploy in our [FAQ](https://docs.aws.amazon.com/guidance/latest/cloud-intelligence-dashboards/faq.html#cudos-v5-faqs) page.
 
 **Changes**
 * Re-designed dataset structure. All datasets used by CUDOS v5 use fast QuickSight SPICE storage which reduces time required to load visuals. CUDOS v5 is using 3 datasets: