New RunLLM response generated: >>>*# Question* Hello, recently our flyte cluster (

v1.12.0

) has been throwing some intermittent error while starting task as our workload increase where they are many pod starting at the same time. This happen once every 1-2 days, which isn't that bad but still breaks our workflow requiring manual intervention on alerts. Retries doesn't seem to work, because the task are not even started.

Grace period [3m0s] exceeded|containers with unready status: [f6140adc65c3a4d47000-n1-0]|failed to reserve container name "f6140adc65c3a4d47000-n1-0...": name "f6140adc65c3a4d47000-n1-0..." is reserved for "189f5dbee3fbc4a26ff7a619fcea34ad..."

Grace period [0s] exceeded|containers with unready status: [f9fd2612618924083000-n2-0]|failed to sync secret cache: timed out waiting for the condition

So far, we have increased the grace period for

config.K8sPluginConfig

create-container-config-error-grace-period: 0s
create-container-error-grace-period: 3m0s

Beside upgrade the cluster resource for the load, are there other config that we can tweak to improve this or to have retries kicking in? Thanks! # Answer The errors you are encountering are related to transient issues during pod initialization, such as container name reservation conflicts and secret cache synchronization timeouts. Increasing the grace period for

create-container-config-error-grace-period

can help mitigate these issues by allowing more time for the container to initialize successfully before marking it as failed. Configuration Adjustments 1. Increase Grace Periods: - Increase

create-container-config-error-grace-period

to allow more time for the container to resolve transient issues. - Ensure that

create-container-error-grace-period

is sufficiently long for your workload. Example configuration:

create-container-config-error-grace-period: 5m0s
   create-container-error-grace-period: 5m0s

2. Resource Requests and Limits: - Ensure that resource requests and limits for your pods are properly configured to avoid contention. - Set

requests

equal to

limits

to ensure consistent resource allocation. Example configuration:

resources:
     limits:
       cpu: 2
       memory: 4Gi
     requests:
       cpu: 2
       memory: 4Gi

3. Kubelet Configuration: - Adjust kubelet settings to handle higher loads, such as increasing

registryPullQPS

and

registryBurst

values. Example configuration:

kubelet:
     registryPullQPS: 50
     registryBurst: 100

Implementation Update your Flyte configuration to include these changes. Here is an example of how to adjust the configurations in the Flyte Helm chart:

flyteadmin:
  config:
    K8sPluginConfig:
      create-container-config-error-grace-period: 5m0s
      create-container-error-grace-period: 5m0s
  resources:
    limits:
      cpu: 2
      memory: 4Gi
    requests:
      cpu: 2