Reference

This section includes information about an optional feature for collecting unique metrics for this solution, pointers to related resources, and a list of builders who contributed to this solution.

Anonymous data collection

This solution includes an option to send anonymous operational metrics to AWS. We use this data to better understand how customers use this solution and related services and products. When invoked, the following information is collected and sent to AWS:

• Solution ID - The AWS solution identifier

• Unique ID (UUID) - Randomly generated, unique identifier for each Research Service Workbench on AWS deployment

• Timestamp - Data-collection timestamp

• Example: Instance Data - Count of the state and type of instances that are managed by the EC2 Scheduler in each AWS Region

Example data:

Running: {t2.micro: 2}, {m3.large:2}

Stopped: {t2.large: 1}, {m3.xlarge:3}

AWS owns the data gathered though this survey. Data collection is subject to the AWS Privacy Policy. To opt out of this feature, complete the following steps before launching the AWS CloudFormation template.

1. Download the AWS CloudFormation template to your local hard drive.

2. Open the AWS CloudFormation template with a text editor.

3. Modify the AWS CloudFormation template mapping section from:

             AnonymousData:        
             SendAnonymousData:        
             Data: Yes        

   to:

             AnonymousData:        
             SendAnonymousData:        
             Data: No        

4. Sign in to the AWS CloudFormation console.

5. Select Create stack.

6. On the Create stack page, Specify template section, select Upload a template file.

7. Under Upload a template file, choose Choose file and select the edited template from your local drive.

8. Choose Next and follow the steps in Launch the stack in the Deploy the solution section of this guide.

Related resources

• The Service Workbench on AWS solution is a similar to Research Service Workbench on AWS.

Contributors

• Or Glazer

• Marianna Ghirardelli

• Kevin Park

• Tyler Mikev

• Sanket Dharwadkar

• Jane Yu

• Fernando Aranda Carrillo

• Travis Berkley

• Greg Grieff

• Brandi Hopkins

Notices

Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents AWS current 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 products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. AWS responsibilities and liabilities 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.

Research Service Workbench is licensed under the terms of the of the Apache License Version 2.0 available at The Apache Software Foundation.