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Status Submitted
Created by Guest
Created on Apr 28, 2026

Add support for sending custom Kafka message headers via the built‑in service pub.streaming:send.

We are working on an integration using webMethods Integration Server 11.1 with WmStreaming to publish events to Apache Kafka.

Using the built‑in service:

pub.streaming:send

we are successfully able to send Kafka messages containing:

  • Key
  • Value
  • Topic

However, Kafka message headers are not propagated.
On the Kafka side, no headers are received.

According to the official documentation:
https://www.ibm.com/docs/en/webmethods-integration/wm-integration-server/11.1.0?topic=folder-pubstreamingsend

The headers input parameter is documented only for timestamp-related usage, and there is currently no documented capability to send custom Kafka headers.

Use Case

Our use case requires publishing Kafka events while propagating contextual metadata such as:

  • correlationId
  • contextId
  • traceId

This information is needed to:

  • Enable end-to-end (E2E) monitoring
  • Support distributed tracing
  • Correlate events across producer and downstream consumers
     

(Notes: headers will be mandatory for any process not only our case )

Kafka headers are the standard and recommended mechanism for carrying such metadata without polluting the message payload.

Current Limitation

  • pub.streaming:send does not provide a way to define custom Kafka headers
  • As a result, headers are neither transmitted nor visible to Kafka consumers
  • This limits Kafka usage in observability-driven and microservices-based architectures

Expected Enhancement

We request the ability to:

  • Define custom Kafka headers in the pub.streaming:send service
  • Support multiple headers with:
    • Header name
    • Header value (String or byte[])
  • Ensure headers are properly propagated and consumable by standard Kafka clients

Conceptual example:

headers:
  - name: "correlationId"
    value: "12345"
  - name: "contextId"
    value: "abcde"

Business Value

  • Enables enterprise-grade monitoring and tracing
  • Aligns webMethods Kafka integration with native Kafka capabilities
  • Avoids anti-patterns such as embedding metadata in payloads
  • Improves interoperability with modern event-driven ecosystems
Idea priority Urgent
Needed By Week