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Optimizing Apache Kafka for efficient data ingestion
World Journal of Advanced Engineering Technology and SciencesApache Kafka has emerged as the industry standard for high-throughput, low-latency data ingestion across distributed systems. This article explores practical optimization strategies to maximize Kafka's performance across various deployment scenarios. Beginning with an examination of Kafka's core architecture—producers, brokers, consumers, and the topic-
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Fat Topic: Improving Latency in Content-Based Publish/Subscribe Systems on Apache Kafka
Lecture Notes in Computer Science, 2021Shiyou Qian, Jian Cao, Guangtao Xue
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COMPARATIVE ANALYSIS OF APACHE KAFKA AND RABBITMQ
Актуальные исследования, 2022openaire +1 more source
Disease and Death Monitoring on Amazon Managed Streaming for Apache Kafka
Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, 2021Jinxiang Peng, Xiaoyuan Liu
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Integration of event streaming and microservices with Apache Kafka
2017Over the last decade, the microservice architecture has become a standard for big and successful internet companies, like Netflix, Amazon and LinkedIn. The importance of stream processing, aggregation and exchange of data is growing, as it allows companies to compete better and move faster.
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Streamlining Enterprise Data Processing, Reporting and Realtime Alerting using Apache Kafka
2023exaly