@Marvin Im using Kubernetes worker and my tasks fail because of OOM. How do I give the more resources?

To modify the resources allocated to a Kubernetes worker, such as increasing memory to prevent Out-of-Memory (OOM) issues, you can update the base job template in the work pool configuration. Here is a general outline for editing the base job template for memory requests: 1. Go to the Advanced tab in the work pool settings. 2. Edit the JSON representation of the base job template. 3. Under

job_configuration

, locate the

containers

section. 4. Add the following section to specify the memory request for the pod:

json
   "resources": {
     "requests": {
       "memory": "MEMORY_REQUEST_VALUE"
     },
     "limits": {
       "memory": "MEMORY_LIMIT_VALUE"
     }
   }

Replace

MEMORY_REQUEST_VALUE

and

MEMORY_LIMIT_VALUE

with appropriate values for your use case (e.g., "1Gi" for 1 gigabyte of memory). Remember to save the work pool configuration after making these changes. The deployments running with this work pool will now request the specified amount of memory. For further details, refer to the Prefect Kubernetes Deployment documentation.