What is Kafka Replication? | Apache Kafka® On The Go

Apache Kafka On the Go | Kafka Concepts for Beginners

What is replication in Apache Kafka®, and why does it matter? Kafka replication is a core part of Kafka’s durability and high-availability strategy, ensuring that your data has multiple copies spread across distributed servers and brokers. How replication works: Data replication happens at the topic level. Partitioning takes a single topic log and breaks it into multiple logs, which makes it easier to store messages, write new ones, and process existing ones across all the nodes within a Kafka cluster. For more details about Replication in Kafka, go to: https://cnfl.io/kafka-on-the-go-replication Kris Jenkins (Senior Developer Advocate, Confluent) explains that Kafka achieves durability of your data by writing copies of your data to multiple nodes. When an event gets produced, the write has to be acknowledged by those other nodes before we consider it truly written. At that point, even if a node dies, the data will still be saved elsewhere, and that means it’s durable - data survives disk failure. The same process is used for high availability. Since there are multiple, redundant copies of the data available, should a lead node die, another one can take over, using its perfect copy to continue working seamlessly. LEARN MORE ► What is Apache Kafka?: https://cnfl.io/what-is-apache-kafka-article ► Kafka 101 – Replication: https://cnfl.io/intro-to-apache-kafka-replication -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #streamprocessing #apachekafka #kafka #confluent

About the course

What is Apache Kafka and how does it work? Learn Apache Kafka the fastest, easiest way possible - on the go, from the team that originally created Kafka. Let’s start by understanding Kafka basics, core concepts, and terms in a series of quick, 1-minute explainer videos with Confluent’s developer advocates, Danica Fine and Kris Jenkins. In this series, the duo explains Kafka fundamentals, including: - Kafka topics - Kafka consumers and producers - Events - Partitions Learn everything there is to know about Kafka, as well as the real-time data streaming ecosystem while on the go—helping developers and software engineers to get the most out of Apache Kafka and the Cloud. Check out these snack-sized videos and learn more.