Amazon EFS Provisioner to EFS CSI

Documentation Index

Fetch the complete documentation index at: https://docs.cognigy.com/llms.txt

Use this file to discover all available pages before exploring further.

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Prerequisites

• Kubernetes 1.21 - 1.24.
• Kubectl utility is installed locally.
• Helm v3.8+ is installed on the client host.
• Amazon EFS CSI driver is installed in the kubernetes cluster.
• Cognigy.AI installation must be 4.45 or later.
• Snapshots/Backups of all EFS Persistent Volume Claims/Persistent Volumes (flow modules, functions) are must be ready before the migration starts.

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Migration process

1. Retain the flow-modules and functions Persistent volumes.
   kubectl patch pv <flow-modules-pv-id> -p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'
   kubectl patch pv <functions-pv-id> -p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'
   
2. Enable the EFS CSI provisioner in the values.yaml file.
   flowModules:
     persistence:
       aws:
         efs:
           enabled: true
           ## EFS File system ID
           ##
           id: ""
           efs_csi:
             enabled: true
   functions:
     persistence:
       aws:
         efs:
           enabled: true
           ## EFS File system ID
           ##
           id: ""
           efs_csi:
             enabled: true
   
   For more details, check the Helm Chart values.yaml reference
3. Disable the currently running efs provisioner in the values.yaml file by deleting the following code block.
   efs:
     flowModules:
       id: "<flow-module efs id>"
     functions:
       id: "<function efs id>"
   
4. Delete the flow-modules and function StorageClass.
   kubectl delete sc aws-efs-flow-modules aws-efs-functions
   
5. Reapply the helm chart.
   helm upgrade --namespace cognigy-ai cognigy-ai oci://cognigy.azurecr.io/helm/cognigy.ai --version HELM_CHART_VERSION --values YOUR_VALUES_FILE.yaml --create-namespace