User Telemetry

HPE Machine Learning Inferencing Software automatically collects and reports anonymous customer metrics. This data is used to improve the product and provide better support to users.

Telemetry Data

The following information is periodically collected from the MLIS Controller.

Controller Details

Category Details
Category Identifiers Unique, randomly generated ID for current database
Controller Info Version of the controller
User Data Number of user accounts
Registry Data - Total number of registries
- Number of registries of each type
Model Data Number of packaged models
Deployment Data - Number of deployments
- Number of deployment tokens

Packaged Model Details

Detail Description
Registry Type Type of registry for each packaged model
Model Format Format of each packaged model
Required Resources Resources required for each packaged model
Model Image/URI Image or URI of each packaged model

Deployment Details

Detail Description
Autoscaling Requirements Autoscaling requirements for each deployment
Model Image/URI Image or URI for each deployment

Recorded Events

Event Type Details
Errors Error messages reported on a deployment
Controller Issues Unexpected controller shutdowns
Deployment Actions - Creation
- Updates
- Pausing
- Resuming
- Deletion
Performance Metrics Elapsed time between deploying a model and the deployment becoming ready for use

Usage Metrics

In addition to telemetry data, HPE Machine Learning Inferencing Software collects specific usage metrics to monitor and optimize the user experience. These metrics include:

Metric Type Details Collected
Page Visits - Pages visited by users
- Timestamp of each visit
Resource Configuration Usage Utilization of resource configuration templates
Auto-scaling Configuration Usage Utilization of auto-scaling configuration templates
User Tip Engagement Number of reviews for each user tip, per user

Disable Telemetry

Telemetry can be disabled via helm upgrade at any time by specifying --set master.telemetry_enabled=false.

helm upgrade mlis \
   --set master.telemetry_enabled=false \
   --set 'global.imagePullSecrets[0].name=regcred' \
   --set 'global.imagePullSecrets[1].name=hpe-mlis-registry' \
   --set imageRegistry=hub.myenterpriselicense.hpe.com/hpe-mlis/<LOWERCASE_SKU> \
   --set defaultPassword=<CREATE_ADMIN_PASSWORD> \
   --values values.yaml \ # Required if you have custom configurations
   <SKU>_aioli-helm-chart_1.2.0.tgz