Marie Hénaff
02/28/2024, 10:02 PMScout
02/28/2024, 10:02 PMrunK8sConfig
field in your Helm chart configuration. This field allows you to specify the Kubernetes configuration for the pods that are created for each run. Here's an example of how you might configure the resources for the run pods: yaml runLauncher: type: K8sRunLauncher config: k8sRunLauncher: runK8sConfig: containerConfig: resources: limits: cpu: "1000m" memory: "2000Mi" requests: cpu: "500m" memory: "700Mi"
In this example, the containerConfig
dictionary within runK8sConfig
is used to set the resource requests and limits for the CPU and memory of the run pods. You can adjust these values according to the resource requirements of your jobs. Please refer to the documentation for more detailed information and additional configuration options for your Kubernetes deployment.