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