1. Login to the GCP console (console.cloud.google.com).
2. Navigate to the Cloud Tasks page by clicking on the left-hand side menu and selecting “Cloud Tasks” under the “Tools” section.
3. Select the queue that you want to remediate.
4. Click on the “Edit” button at the top of the page.
5. Scroll down to the “Retry configuration” section.
6. Set the “Max retry duration” to the desired value. This value represents the maximum amount of time that a task can be retried before it is marked as failed.
7. Click on the “Save” button at the bottom of the page to save your changes.

​

1. Open the Google Cloud SDK Shell or any terminal of your choice.
2. Run the following command to set the max retry duration for the Cloud Tasks queue:
   gcloud tasks queues update QUEUE_NAME --max-attempts=MAX_ATTEMPTS --max-attempt-duration=MAX_ATTEMPT_DURATION
   
   Replace the QUEUE_NAME with the name of the queue you want to update, MAX_ATTEMPTS with the maximum number of attempts to execute the task and MAX_ATTEMPT_DURATION with the maximum duration for each attempt. For example, to set the max retry duration to 10 minutes and the max number of attempts to 3 for a queue named my-queue, run the following command:
   gcloud tasks queues update my-queue --max-attempts=3 --max-attempt-duration=600s
   
3. Verify the changes by running the following command:
   gcloud tasks queues describe QUEUE_NAME
   
   Replace the QUEUE_NAME with the name of the queue you updated. This command will display the updated configuration of the queue.

1. Import the necessary libraries:

from google.cloud import tasks_v2
from google.protobuf import duration_pb2

2. Initialize the Cloud Tasks client:

client = tasks_v2.CloudTasksClient()

3. Get the queue name for which you want to set the max retry duration:

queue_name = client.queue_path(project, location, queue)

4. Set the max retry duration for the queue:

queue = client.get_queue(request={"name": queue_name})

queue.retry_config.max_retry_duration = duration_pb2.Duration(
    seconds=max_retry_duration_seconds
)

update_mask = {"paths": {"retry_config.max_retry_duration"}}

response = client.update_queue(queue=queue, update_mask=update_mask)

5. Verify that the max retry duration has been set:

queue = client.get_queue(request={"name": queue_name})
print(f"Max retry duration: {queue.retry_config.max_retry_duration.seconds}s")

resource "google_cloud_tasks_queue" "CLOUDTASKS_QUEUE_NAME" {
  name     = "projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID"
  location = "LOCATION_ID"

  retry_config {
    # Set to the desired maximum retry window (e.g. 10 minutes = "600s")
    max_retry_duration = "MAX_RETRY_DURATION_SECONDSs"
  }

  # include any other existing arguments for this queue here
}

• PROJECT_ID with your GCP project ID.
• LOCATION_ID with the queue’s region (e.g. us-central1).
• QUEUE_ID with the existing queue name.
• MAX_RETRY_DURATION_SECONDS with the desired number of seconds (e.g. 600 for 10 minutes).