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Step 1: Customer creates Session Replay S3 Bucket / Azure Blob Storage Container / Google Cloud Storage

AWS S3

RUM session recordings can be stored recordings in an S3 bucket. Have the customer create an S3 bucket for this purpose and share with you the following:

...

  • Add a global.rum section

  • Code Block
      rum:
    enabled: true
    
    # This is a list of names and UUIDs. The customer can generate any
    # UUID. The same UUID will need to be referenced in the Kfuse frontend SDK
    # initialization call.
    applications:
      - name: kf-frontend
        id: 944f6a58-dbc2-45ad-bf93-def505aaff62
    
    # only if customer uses AWS S3
    sessionReplayStorage:
      type: s3
      useSecret: true
      
      # Below secret name references the secret created earlier
      secretName: "kfuse-rum-s3"
      
      # Below references the bucket name and region that customer has
      # created for session replay storage
      s3:
        region: us-west-2
        bucket: rum-session-replay-playground
        
    # only if customer uses Azure Blob
    sessionReplayStorage:
      type: azure
      useSecret: true
      
      # Below secret name references the secret created earlier
      secretName: "kfuse-rum-azure"
      
      # Below references the container that the customer has
      # created for session replay storage
      azure:
        container: rum-session-replay-playground
        
    # only if customer uses Google GCS
    sessionReplayStorage:
      type: gcs
      useSecret: true
      
      # Below secret name references the secret created earlier
      secretName: kfuse-rum-gcs
      
      # Below references the GCS bucket name that customer has
      # created for session replay storage
      gcs:
        bucket: rum-session-replay-playground

  • To generate a UUID above you can run command line uuidgen | tr 'A-Z' 'a-z'

  • Ensure RUM specific Kafka topics are listed in the customer YAML. You can use the configuration for the events stream as a reference for number of replicas and partitions. We have not done a performance evaluation for RUM so there is no proper guideline at the moment.

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