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Assets per Kelvin SmartApps™ Workload

Planning Kelvin SmartApps™

Kelvin SmartApps™ automatically deploy workloads to the edge for every Asset added to it in the Kelvin UI.

The planner feature in Kelvin SmartApps™ gives flexibility to the Platform Administrators to assign design restraints on the resource allocations.

Get Max Assets per Kelvin SmartApps™ Workload

In this example we will get the setting of the maximum assets deployable per workload for Kelvin SmartApps™ pcp-optimization.

It is not possible to manage this feature in Kelvin UI.

curl -X 'GET' \
'https://<url.kelvin.ai>/api/v4/app-manager/app/pcp-optimization/planner-rules/get' \
-H 'Authorization: Bearer <Your Current Token>' \
-H 'accept: application/json'

The response will look like this;

{
"cluster": "sales-01-cluster",
"max_resources": 50
}

from kelvin.api.client import Client

# Login
client = Client(config={"url": "https://<url.kelvin.ai>", "username": "<your_username>"})
client.login(password="<your_password>")

# Get Max Assets per Workload for Kelvin SmartApps™
response = client.app_manager.get_app_manager_app_planner_rules(app_name="pcp-optimization")

print(response)

The output will be;

cluster='sales-01-cluster' max_resources=50

Set Max Assets per Kelvin SmartApps™ Workload

In this example we will set the maximum assets deployable per workload for Kelvin SmartApps™ pcp-optimization to 55 Assets.

It is not possible to manage this feature in Kelvin UI.

curl -X 'POST' \
'https://<url.kelvin.ai>/api/v4/app-manager/app/pcp-optimization/planner-rules/update' \
-H 'Authorization: Bearer <Your Current Token>' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"cluster": "sales-01-cluster",
"max_resources": 55
}'

The response will look like this;

{
"cluster": "sales-01-cluster",
"max_resources": 55
}

from kelvin.api.client import Client

# Login
client = Client(config={"url": "https://<url.kelvin.ai>", "username": "<your_username>"})
client.login(password="<your_password>")

response = client.app_manager.update_app_manager_app_planner_rules(
    app_name='pcp-optimization', 
    data={
        "cluster": "sales-01-cluster",
        "max_resources": 55
    }
)

print(response)

The output will be;

cluster='sales-01-cluster' max_resources=55