From the Inventory, open the specific model that you would like to snapshot. Select the “Create Snapshot” button from the top right.
2. Optionally, add a Name and Description for the snapshot. Most important, add the same “Model Service Tag” that was added to the requisite Runtimes (see above). This will ensure that the MLC will know the correct Runtimes to which the model should be deployed throughout the life cycle.
Example: add a “hmrm” Model Service Tag to the snapshot.
3. Enter target runtime selection criteria by entering in text for the “Tags” section or enter a “Runtime name”. The list of matching runtimes will be filtered below based on the selections.
4. Review the Snapshot details. When ready, select “Create Snapshot”.
5. Upon successful snapshot creation, the Model Snapshot page will be opened for the newly created snapshot. Typically an MLC is triggered upon snapshot, and will be shown immediately:
The appropriate Model Life Cycle will automatically begin orchestrating all of the steps necessary to operationalize the model. This includes deployment of the model as REST into the designated ModelOp runtimes or the best matching available ModelOp runtime.
6. Note, model life cycle updates and any errors in the model life cycle execution will be populated in the “Snapshot Notifications” of the Snapshot “Overview” tab. As well, depending on the environment configuration, Jira and/or ServiceNow tickets may also be raised in the event of an issue. Tickets related to the model will appear in the “Associated Tickets” pane of the Snapshot “Overview” tab.
Next Article: Using the ModelOp Runtime for Model Execution >