AWS MSK SASL

New in Seldon Core 2.5.0

Seldon Core 2 can integrate with Amazon managed Apache Kafka (MSK). You can control access to your Amazon MSK clusters using sign-in credentials that are stored and secured using AWS Secrets Manager. Storing user credentials in Secrets Manager reduces the overhead of cluster authentication such as auditing, updating, and rotating credentials. Secrets Manager also lets you share user credentials across clusters.

Configuration of the AWS MSK instance itself is out of scope for this example. Please follow the official AWS documentation on how to enable SASL and public access to the Kafka cluster (if required).

Setting up SASL/SCRAM authentication for an Amazon MSK cluster

To setup SASL/SCRAM in an Amazon MSK cluster, please follow the guide from Amazon's Official documentation.

Do not forget to also copy the bootstrap.servers which we will use it in our configuration later below for Seldon.

Create Kubernetes Secret

Seldon Core 2 expects password to be in form of K8s secret.

kubectl create secret generic aws-msk-kafka-secret -n seldon-mesh --from-literal password="<MSK SASL Password>"

Configure Seldon Core 2

Configure Seldon Core 2 by setting following Helm values:

# k8s/samples/values-aws-msk-kafka-sasl-scram.yaml.tmpl
kafka:
  bootstrap: <msk-bootstrap-server-endpoints>
  topics:
    replicationFactor: 3
    numPartitions: 4

security:
    kafka:
      protocol: SASL_SSL
      sasl:
        mechanism: SCRAM-SHA-512
        client:
          username: < username >
          secret: aws-msk-kafka-secret
          passwordPath: password
      ssl:
        client:
          secret:
          brokerValidationSecret:

Note you may need to tweak replicationFactor and numPartitions to your cluster configuration.

Troubleshooting

• Please check Amazon MSK Troubleshooting documentation.

• Set the kafka config map debug setting to all. For Helm install you can set kafka.debug=all.