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A unified one-stop platform for Kafka cluster management and maintenance
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What is KafkaCenter?

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.
KafkaCenter is a tool in the Kafka Tools category of a tech stack.
KafkaCenter is an open source tool with 883 GitHub stars and 145 GitHub forks. Here’s a link to KafkaCenter's open source repository on GitHub

Who uses KafkaCenter?

KafkaCenter Integrations

KafkaCenter's Features

  • View kafka cluster list and monitoring information
  • Users can view their own topics in this module, apply for new topics, mock and consumption data
  • Users can view the production and consumption of topics in this module, and set warning information for consumption delays
  • Users able to quickly create their own KSQL jobs and maintain their jobs
  • maintain kafka cluster information

KafkaCenter Alternatives & Comparisons

What are some alternatives to KafkaCenter?
Kafka Manager
This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.
This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.
It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.
DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.
It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.
See all alternatives

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