Delete k8s cluster

DELETE /cloud/v2/k8s/clusters/{project_id}/{region_id}/{cluster_name}

Python

Python

import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
task_id_list = client.cloud.k8s.clusters.delete(
    cluster_name="my-cluster",
    project_id=1,
    region_id=7,
)
print(task_id_list.tasks)

200

{
  "tasks": [
    "d478ae29-dedc-4869-82f0-96104425f565"
  ]
}

Authorizations

Authorization · string · header · required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Path Parameters

project_id · integer · required

Project ID

Example:

1

region_id · integer · required

Region ID

Example:

7

cluster_name · string · required

Cluster name

Example:

"my-cluster"

Query Parameters

volumes · string

Comma separated list of volume IDs to be deleted with the cluster

Example:

"550e8400-e29b-41d4-a716-446655440000"

Response

200 - application/json

OK

tasks · string[] · required

List of task IDs representing asynchronous operations. Use these IDs to monitor operation progress:

• GET /v1/tasks/{task_id} - Check individual task status and details Poll task status until completion (FINISHED/ERROR) before proceeding with dependent operations.

Example:

["d478ae29-dedc-4869-82f0-96104425f565"]