Awesome

Overview

Metrics Collector Service collects statistics for deployment of a github sample code on Cloud Foundry, Kubernetes, Data Science Experience, OpenWhisk etc.

This is the source code for metrics_tracker_client, a pip package that can track and report details of a demo/tutorial.

How To Use It On Applications

1. Open a terminal and run

   pip install metrics-tracker-client
   

2. Import the package at the entry point of your app and call the track() function.

   import metrics_tracker_client
   metrics_tracker_client.track()
   

3. Add a copy of the Privacy Notice to the readme file.

   Note: All apps that have deployment tracker must include the Privacy Notice.

4. Add a repository.yaml file in the same directory of your main entry point files.

How To Use It On Jupyter Notebook

1. In your Jupyter Notebook, insert the following code in your entry point code block. Then, fill in the parameter in metrics_tracker_client.DSX() with the format '<gitHub Organization>/<Repository name>'.

   !pip install -q metrics-tracker-client
   import metrics_tracker_client
   metrics_tracker_client.DSX('org/repo')
   

2. Add a copy of the Privacy Notice to the readme file.

   Note: All apps that have deployment tracker must include the Privacy Notice.

3. Add a repository.yaml file in your GitHub's top-level repository.

Example repository.yaml file

The repository.yaml need to be written in Yaml format. Also, please put all your keys in lower case.

id: https://github.com/IBM/watson-discovery-news
runtimes: 
  - Cloud Foundry
services: 
  - Discovery
event_id: web
event_organizer: dev-journeys
language: python

Required field:

1. id: Put your Github URL of your pattern/project.
   • Note: Please put down the Github URL if your pattern is not from IBM organization in Github.
2. runtimes: Put down all your platform runtime environments in a list.
3. services: Put down all the IBM Cloud services that are used in your journey in a list.
4. event_id: Put down where you will distribute your application. Default is web.
5. event_organizer: Put down your event organizer if you have one. Default is dev-journeys
6. language: If your journey is not in python, please put down the application's main language in lower case.

List of runtimes, services, and languages

Please go to the service list page to get the list of official names for runtimes, services, and languages.

Example app

To see how to include this into your app please visit watson-online-store. You will want to pay attention to repository.yaml and run.py.

To see how to include this into your Jupyter Notebook please visit Integrate-Investment-Portfolio. You will want to pay attention to repository.yaml and SetupPortfolio.ipynb.

Privacy Notice

Sample web applications that include this package may be configured to track deployments to IBM Cloud and other platforms. The following information is sent to a Deployment Tracker service on each deployment:

• Python package version
• Python repository URL
• Application Name (application_name)
• Application GUID (application_id)
• Application instance index number (instance_index)
• Space ID (space_id) or OS username
• Application Version (application_version)
• Application URIs (application_uris)
• Cloud Foundry API (cf_api)
• Labels of bound services
• Number of instances for each bound service and associated plan information
• Metadata in the repository.yaml file

This data is collected from the setup.py and repository.yaml file in the sample application and the VCAP_APPLICATION and VCAP_SERVICES environment variables in IBM Cloud and other Cloud Foundry platforms. This data is used by IBM to track metrics around deployments of sample applications to IBM Cloud to measure the usefulness of our examples, so that we can continuously improve the content we offer to you. Only deployments of sample applications that include code to ping the Deployment Tracker service will be tracked.

Disabling Deployment Tracking

Please see the README for the sample application that includes this package for instructions on disabling deployment tracking, as the instructions may vary based on the sample application in which this package is included.

License

See License.txt for license information.