description Apache Kafka Overview
Apache Kafka is the industry-standard distributed event streaming platform used for high-performance data pipelines, streaming analytics, and data integration. It acts as a central nervous system for data, allowing applications to publish and subscribe to streams of records in real-time. Kafka's durability, scalability, and fault-tolerance make it essential for modern microservices architectures and real-time data processing. While it requires significant operational expertise to manage, its ability to handle trillions of events per day makes it the backbone of real-time data infrastructure for the world's largest companies.
help Apache Kafka FAQ
What is Apache Kafka used for?
Kafka stores and moves streams of records between producers and consumers. Common uses include event-driven services, log pipelines, payment events, and real-time analytics.
What is a Kafka topic partition?
A topic is divided into partitions so Kafka can store and process records in parallel. Ordering is guaranteed within one partition, not across every partition in the topic.
Who created Apache Kafka?
Kafka was originally developed at LinkedIn to handle high-volume activity data. It became an Apache Software Foundation project in 2011.
How do Kafka consumer groups work?
A consumer group lets multiple consumers share the partitions of a topic. Each partition is assigned to one consumer in that group at a time, allowing the group to scale horizontally.
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