Activity Tracker events

When you have Watson Studio, Watson Knowledge Catalog, or Watson Machine Learning provisioned as services in your IBM Cloud account, you can see the events in the IBM Cloud Activity Tracker.

View events in the Activity Tracker in the same IBM Cloud region that you provisioned your services, except for the Toyko (AP North) region. Events for services that you provision in the Tokyo region are sent to the Activity Tracker in the Syndey region.

Events for Watson Studio

Action Description
data-science-experience.project.create Create a project.
data-science-experience.project.delete Delete a project.
data-science-experience.notebook.create Create a notebook.
data-science-experience.notebook.delete Delete a notebook.
data-science-experience.notebook.update Change the runtime service of a notebook by selecting another one.
data-science-experience.rstudio.start Open RStudio.
data-science-experience.rstudio.stop RStudio session timed out.

Events for streams flows

Action Description
streams-designer.flow.create Create a streams flow.
streams-designer.flow.delete Delete a streams flow.
streams-designer.flow.update Update a streams flow.

Events for Watson Studio and Watson Knowledge Catalog

Events for asset management

Action Description
datacatalog.asset.clone Copy an asset.
datacatalog.asset.create Create an asset. Create a data asset.
datacatalog.folder-asset.create Create a folder asset.
datacatalog.type.create Create an asset type.
datacatalog.asset.publish Publish an asset.
datacatalog.asset.purge Delete an asset from the trash.
datacatalog.asset.restore Restore an asset from the trash.
datacatalog.asset.trash Send an asset to the trash.
datacatalog.asset.update Update an asset.
datacatalog.asset-access.update Update privacy settings of an asset.
datacatalog.asset-collaborators.update Update an asset collaborator.
datacatalog.asset-owner.update Update an asset owner.

Events for asset attachments

Action Description
datacatalog.attachment.create Create an attachment.
datacatalog.attachment.delete Delete an attachment.
datacatalog.attachment-resources.increase Increase resources for an attachment.
datacatalog.complete.transfer Mark an attachment as transfer complete.
datacatalog.attachment.update Update attachment metadata.

Events for asset attributes

Action Description
datacatalog.attribute.create Create an attribute.
datacatalog.attribute.delete Delete an attribute.
datacatalog.attribute.update Update an attribute.

Events for connections

Action Description Read a connection.
wdp-connect-connection.connection.get Retrieve a connection.
wdp-connect-connection.connection.get.list Get a list of connections.
wdp-connect-connection.connection.create Create a connection.
wdp-connect-connection.connection.delete Delete a connection.

Event for discovery

Action Description Run discovery for a connection.

Events for scheduling

Action Description
wdp.scheduling.schedule.update.failed An update to a schedule failed.
wdp.scheduling.schedule.create.failed The creation of a schedule failed. Read a schedule.
wdp.scheduling.schedule.update Update a schedule.
wdp.scheduling.schedule.delete.multiple Delete multiple schedules.
wdp.scheduling.schedule.list List all schedules.
wdp.scheduling.schedule.create Create a schedule.

Events for Data Refinery flows

Action Description
wdp-dataflows.flow.get.all.flowruns List all flow runs.
wdp-dataflows.flow.create.flowrun Create a flow run.
wdp-dataflows.create.flow Create a Data Refinery flow.
wdp-dataflows.flow.complete.flowrun Complete a flow run.
wdp-dataflows.get.flow Retrieve a Data Refinery flow.

Events for Watson Knowledge Catalog

Events for catalogs

Action Description
datacatalog.catalog.create Create a catalog. Create a catalog property.
datacatalog.catalog.delete Delete a catalog. Delete a catalog property.
datacatalog.catalog.update Update a catalog. Update a catalog property.

Events for catalog collaborators

Action Description
datacatalog.members.create Create catalog collaborators.
datacatalog.members.delete Delete catalog collaborators.
datacatalog.members.update Update catalog collaborators.

Events for policies

Action Description
wdp-policy-service.policy.create Create a policy.
wdp-policy-service.policy.update Update a policy.
wdp-policy-service.policy.delete Delete a policy.

Events for policy categories

Action Description
wdp-policy-service.policy_category.create Create a policy category.
wdp-policy-service.policy_category.update Update a policy category.
wdp-policy-service.policy_category.delete Delete a policy category.

Events for data policy rules

Action Description
wdp-policy-service.policy_rule.create Create a rule.
wdp-policy-service.policy_rule.update Update a rule.
wdp-policy-service.policy_rule.delete Delete a rule.

Events for business glossary terms

Action Description
wdp‑business‑glossary.term.create Create a business term.
wdp‑business‑ Get a business term.
wdp‑business‑glossary.term.update Update a business term.
wdp‑business‑glossary.term.delete Delete a business term.
wdp‑business‑glossary.term.archive Archive a business term.
wdp‑business‑ Get an archived business term.
wdp‑business‑ Search for business terms.
wdp‑business‑glossary.term.import.create Create an import request.
wdp‑business‑glossary.term.import.start Start an import.
wdp‑business‑glossary.term.import.stop Cancel an import.
wdp‑business‑ Get import status.
wdp‑business‑ List imported terms.
wdp‑business‑ Get report of imported business terms.
wdp‑business‑glossary.term.customAttributeClassifier.create Create a business term for a custom data class.
wdp‑business‑glossary.term.customAttributeClassifier.update Update a business term for a custom data class.
wdp‑business‑glossary.term.customAttributeClassifier.delete Delete a business term for a custom data class.

Events for Watson Machine Learning

Events for Watson Machine Learning deployments

Action Description
pm-20.deployment.create Create a Watson Machine Learning deployment. Get a Watson Machine Learning deployment.
pm-20.deployment.update Update a Watson Machine Learning deployment.
pm-20.deployment.delete Delete a Watson Machine Learning deployment.
pm-20.deployment_job.create Create a Watson Machine Learning deployment job. Get a Watson Machine Learning deployment job.
pm-20.deployment_job.delete Delete a Watson Machine Learning deployment job.

Events for modeler flows in Watson Studio

Action Description
pm-20.modeler-session.create Create a new modeler session.
pm-20.modeler-flow.send Store the current modeler flow.
pm-20.modeler-flows-user.receive Get the current user information.
pm-20.modeler-examples.receive Get the list of example modeler flows.
pm-20.modeler-runtimes.receive Get the list of available modeler runtimes.
pm-20.spark-environments.receive Get the list of available Spark environments.
pm-20.lock-modeler-flow.enable Allocate the lock for the modeler flow to the user.
pm-20.modeler-flow-preview.create Preview a node in a modeler flow.
pm-20.modeler-output.delete Delete a modeler flow output.
pm-20.spark-kernels.receive Get the list of Spark kernels.
pm-20.spark-kernel.delete Delete a Spark kernel.
pm-20.projects.receive Get the list of projects in which a modeler flow can be created.
pm-20.project-name.receive Get the name of the project.
pm-20.project-role.receive Get the project role of the current user.
pm-20.project-compute-services.receive Get the compute services of the project.
pm-20.project-container.receive Get the container of the project.
pm-20.project-storage-type.receive Get the storage type of the project.

Event for model visualization in Watson Studio

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 Watson Machine Learning training assets

Action Description List all of training. Get one training. Start a training. Stop a training.

Events for Watson Machine Learning repository assets

The deployment events are tracked for these Watson Machine Learning 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 an sklearn pipeline represented as a JSON document that is used to train one or more models.
wml_experiment Represents the assets that captures a set of wml_pipeline or wml_model_definition assets that will be trained at the same time on the same data set.
wml_function Represents a Python function (code is packaged in a zip file) that will be deployed as online deployment in Watson Machine Learning. This code needs to contain a score(…) python function.
wml_training_definition Represents the training meta-data necessary to start a training job.
wml_deployment_job_definition Represents the deployment metadata information in order to create a batch job in WML. This contains the same metadata used by the /ml/v4/deployment_jobs endpoint. This means that when submitting batch deployment jobs the user can either provide the job definition inline or reference a job definition in a query parameter.

These activities are tracked for each asset type:

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 type.
pm-20.<asset_type>.delete Delete one of the specified asset type.
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.