Streams Messaging Manager and Apache NiFi

Streams Messaging Manager (SMM) is an operations monitoring and management tool that provides end-to-end visibility in an enterprise Apache Kafka environment. SMM is used with Schema Registry, which provides a shared repository of schemas that allows applications to flexibly interact with each other.

You can use Apache NiFi to develop, manage, and monitor data flows. The Apache NiFi Registry provides a central location for the storage and management of shared data flow resources across more than one instance of Apache NiFi.

How to use Streams Messaging Manager to create, modify, and monitor alert policies and alerts.

How to create, moidify, and delete Kafka topics.

Describes how you can use Streams Messaging Manager to monitor end-to-end latency in topics. Use the latency feature to verify whether consumers are consuming the messages produced in a topic within the time SLA, identify the slow consuming applications that might occur due to an external or process bottleneck, and verify whether the consumers are consuming all the messages.

How to use Schema Registry.

Learn more about Kafka producers and their most important configuration properties.

How to use Streams Messaging Manager to monitor Apache Kafka clusters, producers, topics, brokers, and consumers.

Describes how you can use Streams Replication Manager to implement cross-cluster Kafka topic replication in Streams Messaging Manager.

Apache NiFi is a dataflow system based on the concepts of flow-based programming. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

How to use the NiFi Registry to manage DataFlow versions.

We want your opinion

How can we improve this page?

What kind of feedback do you have?