Chapter 3. Technology previews

This release adds support for the distributed tracing of transactions within a typical Kafka architecture. Using an included OpenTracing Java library, you can instrument your client applications to generate traces for transactions, for example, producing and consuming messages.

Distributed tracing is supported in the following components:

Trace data is visualized in a user interface using Jaeger. You can use this information to monitor the operation of your Kafka cluster from end-to-end, and debug performance issues with target systems and applications.

See Distributed tracing.

AMQ Streams supports the use of OAuth 2.0 authentication using the SASL OAUTHBEARER mechanism.

Using OAuth 2.0 token based authentication, application clients can access resources on application servers (called ‘resource servers’) without exposing account credentials. The client presents an access token as a means of authenticating, which application servers can also use to find more information about the level of access granted. The authorization server handles the granting of access and inquiries about access.

In the context of AMQ Streams:

The brokers and clients communicate with the OAuth 2.0 authorization server, as necessary, to obtain or validate access tokens.

For a deployment of AMQ Streams, OAuth 2.0 integration provides:

You can use Red Hat Single Sign-On to:

See Using OAuth 2.0 token based authentication.

Red Hat Change Data Capture is a distributed platform that monitors databases and creates change event streams. Change Data Capture is built on Apache Kafka and can be deployed and integrated with AMQ Streams.

Following a deployment of AMQ Streams, you deploy Change Data Capture as a connector configuration through Kafka Connect.

Change Data Capture captures row-level changes to a database table and passes corresponding change events to AMQ Streams on OpenShift. Applications can read these change event streams and access the change events in the order in which they occurred.

Change Data Capture has multiple uses, including:

Change Data Capture provides connectors (based on Kafka Connect) for the following common databases:

Debezium is the open source project for Change Data Capture.

For more information on deploying Change Data Capture with AMQ Streams, see Deploying the Debezium 1.0 Technology Preview with AMQ Streams.