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Kafka

A self-managed Apache Kafka cluster can be used as an event source for AWS Lambda.

In order to configure lambda to trigger via kafka events, you must provide three required properties:

  • accessConfigurations which defines the chosen authentication method configuration
  • topic to consume messages from
  • bootstrapServers - an array of bootstrap server addresses for your Kafka cluster

Optionally, you can provide the following properties:

  • consumerGroupId - the consumer group id to use for consuming messages

Authentication

You must authenticate your Lambda with a self-managed Apache Kafka cluster using one of;

  • VPC - subnet(s) and security group
  • SASL SCRAM/PLAIN - AWS Secrets Manager secret containing credentials
  • Mutual TLS (mTLS) - AWS Secrets Manager secret containing client certificate, private key, and optionally a CA certificate

You can provide this configuration via accessConfigurations

You must provide at least one method, but it is possible to use VPC in parallel with other methods. For example, you may choose to authenticate via mTLS or SASL/SCRAM, and also place your Lambda and cluster within a VPC.

Valid options for accessConfigurations are:

saslPlainAuth: arn:aws:secretsmanager:us-east-1:01234567890:secret:SaslPlain
saslScram256Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:SaslScram256
saslScram512Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:SaslScram512
clientCertificateTlsAuth: arn:aws:secretsmanager:us-east-1:01234567890:secret:ClientCertificateTLS
serverRootCaCertificate: arn:aws:secretsmanager:us-east-1:01234567890:secret:ServerRootCaCertificate
vpcSubnet:
  - subnet-0011001100
  - subnet-0022002200
vpcSecurityGroup: sg-0123456789

For more information see:

Basic Example: SASL/SCRAM

In the following example, we specify that the compute function should be triggered whenever there are new messages available to consume from Kafka topic MySelfManagedKafkaTopic from self-hosted cluster at xyz.com. The cluster has been authenticated using SASL/SCRAM, the credentials are stored at secret MyBrokerSecretName

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            saslScram512Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:MyBrokerSecretName
          topic: MySelfManagedKafkaTopic
          consumerGroupId: MyConsumerGroupId
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092

Example: Using mTLS

In this example, the lambda event source is a self-managed Apache kafka cluster authenticated via mTLS. The value of clientCertificateTlsAuth is an arn of a secret containing the client certificate and privatekey required for the mTLS handshake. The value of serverRootCaCertificate is an arn of a secret containing the Certificate Authority (CA) Certificate. This is optional, you only need to provide if your cluster requires it.

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            clientCertificateTlsAuth: arn:aws:secretsmanager:us-east-1:01234567890:secret:ClientCertificateTLS
            serverRootCaCertificate: arn:aws:secretsmanager:us-east-1:01234567890:secret:ServerRootCaCertificate
          topic: MySelfManagedMTLSKafkaTopic
          consumerGroupId: MyConsumerGroupId
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092

Using VPC configurations

You can also specify VPC configurations for your event source. The values will be automatically transformed into their corresponding URI values, so it not required to specify the URI prefix. For example, subnet-0011001100 will be automatically mapped to the value subnet:subnet-0011001100.

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            vpcSubnet:
              - subnet-0011001100
              - subnet-0022002200
            vpcSecurityGroup: sg-0123456789
          topic: mytopic
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092

Enabling and disabling Kafka event trigger

The kafka event also supports enabled parameter, which is used to control if the event source mapping is active. Setting it to false will pause polling for and processing new messages.

In the following example, we specify that the compute function's kafka event should be disabled.

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            saslScram512Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:MyBrokerSecretName
          topic: AWSKafkaTopic
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092
          enabled: false

Setting filter patterns

This configuration allows to filter events before they are passed to a Lambda function for processing. By default, it accepts up to 5 filter criteria, but this can be increased to a maximum of 10 with a quota extension. If an event matches at least one of the specified filter patterns, the Lambda function will process it. For more information, see the AWS Event Filtering.

The following example demonstrates using this property to only process records that are published in the Kafka cluster where field eventName is equal to INSERT.

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            saslScram512Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:MyBrokerSecretName
          topic: MySelfManagedKafkaTopic
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092
          filterPatterns:
            - eventName: INSERT

IAM Permissions

The Serverless Framework will automatically configure the most minimal set of IAM permissions for you. However you can still add additional permissions if you need to. Read the official AWS documentation for more information about IAM Permissions for Kafka events.

Setting the BatchSize, MaximumBatchingWindow and StartingPosition

You can set the batchSize, which effects how many messages can be processed in a single Lambda invocation. The default batchSize is 100, and the max batchSize is 10000. Likewise maximumBatchingWindow can be set to determine the amount of time the Lambda spends gathering records before invoking the function. The default is 0, but if you set batchSize to more than 10, you must set maximumBatchingWindow to at least 1. The maximum is 300. In addition, you can also configure startingPosition, which controls the position at which Lambda should start consuming messages from the topic. It supports three possible values, TRIM_HORIZON, LATEST and AT_TIMESTAMP, with TRIM_HORIZON being the default. When startingPosition is configured as AT_TIMESTAMP, startingPositionTimestamp is also mandatory.

In the following example, we specify that the compute function should have a kafka event configured with batchSize of 1000, maximumBatchingWindow of 30 seconds and startingPosition equal to LATEST.

functions:
  compute:
    handler: handler.compute
    events:
      - kafka:
          accessConfigurations:
            saslScram512Auth: arn:aws:secretsmanager:us-east-1:01234567890:secret:MyBrokerSecretName
          topic: MySelfManagedKafkaTopic
          bootstrapServers:
            - abc3.xyz.com:9092
            - abc2.xyz.com:9092
          batchSize: 1000
          maximumBatchingWindow: 30
          startingPosition: LATEST