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Monitoring model deployments

Use the deployment resource to monitor the status of a model deployment.

GET request

You can request the status of all deployments in the organization or the status of a particular deployment.

Status of all deployments in the organization: To get the status of all deployments in the organization, use the following URI:
/mlops/api/v1/deployment/monitor

You can include parameters in the request to sort and filter the results. Use the following syntax to specify parameters:
/mlops/api/v1/deployment/monitor?offset=<offset>&limit=<limit>&filter=<filter>&sortkey=<sort key>&sortdir=<sort direction>

The following table describes the parameters you can use:

Parameter
Description

offset
Number of results to offset from the beginning. For example, if you want the request to skip the top 5 results, set the offset to 5.

limit
Number of results to return. For example, if you want only the top 10 results, set the limit to 10.

filter
Term to use to filter results. The results only include deployments with the filter term in the deployment name.

sortkey
Field to use to sort the results. Use one of the following values:
NAME

DISPLAY_STATUS

LOCATION

STARTED_BY

START_TIME

STOP_TIME

DURATION

sortdir
Direction to sort the results. Use either
ASC
or
DESC
.
Status of a particular deployment: To get the status of a particular deployment, include the deployment ID in the URI. Use the following URI:
/mlops/api/v1/deployment/monitor/<deployment ID>

Get the deployment ID from the response to create a model deployment or a previous response to monitor model deployments.

Parameter	Description
offset	Number of results to offset from the beginning. For example, if you want the request to skip the top 5 results, set the offset to 5.
limit	Number of results to return. For example, if you want only the top 10 results, set the limit to 10.
filter	Term to use to filter results. The results only include deployments with the filter term in the deployment name.
sortkey	Field to use to sort the results. Use one of the following values: NAME DISPLAY_STATUS LOCATION STARTED_BY START_TIME STOP_TIME DURATION
sortdir	Direction to sort the results. Use either ASC or DESC .

GET response

Returns details about the results and the deployment status object for every deployment within the query parameters. If you requested the details for a particular deployment, returns only the deployment status object.

The following table describes the fields in a deployment status object:

Field	Description
count	Number of deployments returned in this response.
offset	Offset used in the response. This might differ from the offset in the request if the requested value was out of bounds.
limit	Limit used in the response. This might differ from the limit in the request if the requested value was out of bounds.
deployments	Object that describes each deployment.
deploymentID	ID of the model deployment.
deploymentName	Name of the model deployment.
state	Requested state of the deployment. When you start or restart the deployment, the state is ENABLED . When you stop the deployment, the state is DISABLED .
status	Internal status of the deployment.
statusLabel	External status label for the current state and status.
message	Warning or error message string. Applies only if a warning or error occurs.
locationID	ID of the folder that stores the deployment.
locationName	Name of the folder that stores the deployment.
startedByUserID	ID of the user that last started the deployment.
startedbyUserName	Name of the user that last started the deployment.
startTime	Time that the deployment started, in milliseconds from the UNIX epoch, 00:00:00 UTC on January 1, 1970.
stopTime	Time that the deployment stopped, in milliseconds from the UNIX epoch. Applies only when you stop the deployment.
duration	Number of milliseconds since the deployment started running.
updateTime	Time that the deployment status was last updated, in milliseconds from the UNIX epoch.
monitorTime	Time that the deployment status was checked, in milliseconds from the UNIX epoch.
agentSaasid	ID of the agent that deploys the job.
communicationMode	Mode of communication to the REST API. The communication mode is channel .
predictUrl	Endpoint URL to use to generate predictions from the model.
framework	Framework used to create the machine learning model.
frameworkType	Type of framework used to register the machine learning model.

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REST API Reference

REST API Reference

Monitoring model deployments

Monitoring model deployments

GET request

GET response