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Author and maintainer: https://github.com/katursis
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#java #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

UI for Apache Kafka is a free, open-source web tool that helps you manage and monitor Apache Kafka clusters easily. It's lightweight and fast, making it simple to track key metrics like brokers, topics, partitions, production, and consumption. You can set it up quickly with a few commands and run it locally or in the cloud. The tool offers features like multi-cluster management, performance monitoring, browsing messages, and dynamic topic configuration. It also supports secure authentication and role-based access control. This makes it easier to observe data flows, troubleshoot issues, and ensure optimal performance of your Kafka clusters.

https://github.com/provectus/kafka-ui
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#c_lang #apache_kafka #c #c_plus_plus #consumer #high_performance #kafka #kafka_consumer #kafka_producer #librdkafka

librdkafka is a powerful library that helps you work with Apache Kafka using C or C++. It allows you to produce and consume messages very quickly, handling over 1 million messages per second for producers and 3 million messages per second for consumers. It supports advanced features like exactly-once semantics, compression, SSL, and SASL security. This library is reliable, high-performance, and easy to use, making it a great tool for developers who need to integrate Kafka into their applications. It also has detailed documentation and community support, making it easier to get started and resolve any issues.

https://github.com/confluentinc/librdkafka
#java #ai #apache_kafka #aws #azure #cloud #cloud_first #cloud_native #ebs #gcp #kafka #llm #messaging #minio #s3 #serverless #spot #streaming

AutoMQ provides a cloud-native alternative to Apache Kafka that runs on S3 storage, cutting costs by up to 90% while enabling instant scaling and eliminating cross-zone traffic fees. It offers high reliability, serverless operation, and full Kafka compatibility, making it easier and cheaper to manage large-scale data streaming without sacrificing performance or features.

https://github.com/AutoMQ/automq