factorhouse/kpow topologies allowing visualization of message throughput and lag at point of consumption and the ability to reset consumption at a group, host, member, topic, or assignment level.
!Kpow Compute provides visualization and control of consumption
Kpow comes from a practical application of Kafka to real-world requirements and provides:
!Kpow is easily configured with LDAP for User Authentication
Live Mode for real-time monitoring, Multi-Dimensional Consumer Lag insights from Kpow's custom derived telemetry, No Requirement for JMX access, discover all of our features in this guide.
Kpow is compatible with Apache Kafka 1.0+.
Kpow has been tested and is compatible with Apache Kafka, Amazon MSK, Amazon MSK Serverless, Red Hat Streams for Apache Kafka (formerly AMQ Streams), Aiven Managed Kafka, Instaclustr Managed Kafka, Confluent Platform, Confluent Cloud***, Azure Event Hubs*** and Vectorized Redpanda*****.
*Some disk related metrics and telemetry are not available when using Kpow with Confluent Cloud, Azure Event Hubs and Redpanda.
To evaluate Kpow locally with Docker Compose and a 3-node Kafka cluster, visit the kpow-local GitHub repository.
Instructions on how to start a 30-day free trial of Kpow can be found in the kpow-local README.
Visit [***] for more documentation on getting started with Kpow
Kpow is proprietary software. Kpow's EULA can be found in the GitHub repository or at [***]
The Dockerfile's and kpow repository are licensed under the Eclipse Public License 1.0 (EPL-1.0)
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