Apache Kafka® 101: Brokers

https://cnfl.io/kafka-101-module-4 | Tim Berglund (Senior Director of Developer Experience, Confluent) provides an overview of brokers in Apache Kafka®. Kafka is made up of brokers or a network of machines. These might be containers running on pods running on virtualized servers running on actual processors in a physical datacenter, rather than distinct physical servers. Regardless of their deployment, Kafka brokers are independent machines that run, each of which hosts a group of partitions and fields inbound requests to read events from those partitions or write new partitions to them. In addition, brokers are responsible for handling the replication of partitions between one another.

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► Brokers Overview: https://docs.confluent.io/platform/current/control-center/brokers.html?utm_source=youtube&utm_medium=video&utm_campaign=tm.devx_ch.cd-apache-kafka-101_content.apache-kafka
► Kafka Broker Configuration: https://docs.confluent.io/platform/current/installation/configuration/broker-configs.html?utm_source=youtube&utm_medium=video&utm_campaign=tm.devx_ch.cd-apache-kafka-101_content.apache-kafka
► Monitoring Your Event Streams: Integrating Confluent with Prometheus and Grafana: https://www.confluent.io/blog/monitor-kafka-clusters-with-prometheus-grafana-and-confluent/?utm_source=youtube&utm_medium=video&utm_campaign=tm.devx_ch.cd-apache-kafka-101_content.apache-kafka

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Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit https://confluent.io

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