You can see the events for actions for your provisioned services in the IBM Cloud Activity Tracker. You can use the information that is registered through the IBM Cloud Activity Tracker service to identify security incidents, detect unauthorized
access, and comply with regulatory and internal auditing requirements.
To get started, provision an instance of the IBM Cloud Activity Tracker service. See IBM Cloud Activity Tracker.
View events in the Activity Tracker in the same IBM Cloud region where you provisioned your services. To view the account and user management events and other global platform events, you must provision an instance of the IBM Cloud Activity Tracker
service in the Frankfurt (eu-de) region. See Platform services.
Allocate the lock for the SPSS Modeler flow to the user.
data-science-experience.project-name.receive
Get the name of the project.
Event for model visualizations
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Event in Activity Tracker for modeler visualizations
Action
Description
pm-20.model.visualize
Visualize model output. The model output can have a single model, ensemble models, or a time-series model. The visualization type can be single, auto, or time-series. This visualization type is in requestedData section.
Events for watsonx.ai Runtime training assets
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Event in Activity Tracker for watsonx.ai Runtime training assets
Action
Description
pm-20.training.authenticate
Authenticate user.
pm-20.training.authorize
Authorize user.
pm-20.training.list
List all of training.
pm-20.training.get
Get one training.
pm-20.training.create
Start a training.
pm-20.training.delete
Stop a training.
Events for watsonx.ai Runtime repository assets
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The deployment events are tracked for these watsonx.ai Runtime repository assets:
Event in Activity Tracker for watsonx.ai Runtime repository assets
Asset type
Description
wml_model
Represents a machine learning model asset.
wml_model_definition
Represents the code that is used to train one or more models.
wml_pipeline
Represents a hybrid-pipeline, a SparkML pipeline or a sklearn pipeline that is represented as a JSON document that is used to train one or more models.
wml_experiment
Represents the assets that capture a set of wml_pipeline or wml_model_definition assets that are trained at the same time on the same data set.
wml_function
Represents a Python function (code is packaged in a compressed file) that will be deployed as online deployment in watsonx.ai Runtime. This code needs to contain a score(...) python function.
wml_training_definition
Represents the training metadata necessary to start a training job.
wml_deployment_job_definition
Represents the deployment metadata information to create a batch job in WML. This asset type contains the same metadata that is used by the /ml/v4/deployment_jobs endpoint. When you submit batch deployment jobs, you can either provide
the job definition inline or reference a job definition in a query parameter.
These activities are tracked for each asset type:
Event in Activity Tracker for watsonx.ai Runtime repository assets
Action
Description
pm-20.<asset_type>.list
List all of the specified asset type.
pm-20.<asset_type>.create
Create one of the specified asset types.
pm-20.<asset_type>.delete
Delete one of the specified asset types.
pm-20.<asset_type>.update
Update a specified asset type.
pm-20.<asset_type>.read
View a specified asset type.
pm-20.<asset_type>.add
Add a specified asset type.
Events for model evaluation (watsonx.governance)
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Events for public APIs
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Events in Activity Tracker for Watson OpenScale public APIs
Action
Description
aiopenscale.metrics.create
Store metric in the Watson OpenScale instance
aiopenscale.payload.create
Log payload in the Watson OpenScale instance
Events for private APIs
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Events in Activity Tracker for Watson OpenScale private APIs
Action
Description
aiopenscale.datamart.configure
Configure the Watson OpenScale instance
aiopenscale.datamart.delete
Delete the Watson OpenScale instance
aiopenscale.binding.create
Add service binding to the Watson OpenScale instance
aiopenscale.binding.delete
Delete service binding from the Watson OpenScale instance
aiopenscale.subscription.create
Add subscription to the Watson OpenScale instance
aiopenscale.subscription.delete
Delete subscription from the Watson OpenScale instance
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