Apache kafka architecture diagram

What is Apache Kafka architecture?

Kafka architecture is made up of topics, producers, consumers, consumer groups, clusters, brokers, partitions, replicas, leaders, and followers. The following diagram offers a simplified look at the interrelations between these components.

How does Kafka cluster work?

A Kafka cluster consists of one or more servers ( Kafka brokers) running Kafka . Producers are processes that push records into Kafka topics within the broker. A consumer pulls records off a Kafka topic. Management of the brokers in the cluster is performed by Zookeeper.

What are the major elements of Kafka?

The Kafka Components – Universal Modeling Language (UML) Kafka’s main architectural components include Producers, Topics, Consumers, Consumer Groups, Clusters, Brokers, Partitions, Replicas, Leaders, and Followers.

What is in Kafka?

Kafka is a distributed streaming platform that is used publish and subscribe to streams of records. Kafka is used for fault tolerant storage. Kafka replicates topic log partitions to multiple servers. Kafka is designed to allow your apps to process records as they occur.

Why is Kafka faster than RabbitMQ?

Kafka offers much higher performance than message brokers like RabbitMQ . It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.

What is the difference between zookeeper and Kafka?

Kafka uses Zookeeper to manage service discovery for Kafka Brokers that form the cluster. Zookeeper sends changes of the topology to Kafka , so each node in the cluster knows when a new broker joined, a Broker died, a topic was removed or a topic was added, etc.

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Is it possible to use Kafka without zookeeper?

You can not use kafka without zookeeper . So zookeeper is used to elect one controller from the brokers. Zookeeper also manages the status of the brokers, which broker is alive or dead. Zookeeper also manages all the topics configuration, which topic contains which partitions etc.

Why does Kafka use zookeeper?

Zookeeper keeps track of status of the Kafka cluster nodes and it also keeps track of Kafka topics, partitions etc. Zookeeper it self is allowing multiple clients to perform simultaneous reads and writes and acts as a shared configuration service within the system.

How does Kafka decide partition?

Kafka topics are divided into a number of partitions . Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a separate machine to allow for multiple consumers to read from a topic in parallel.

What is the benefits of Apache Kafka over the traditional technique?

Apache Kafka has following benefits above traditional messaging technique : Fast: A single Kafka broker can serve thousands of clients by handling megabytes of reads and writes per second. Scalable: Data are partitioned and streamlined over a cluster of machines to enable larger data.

What is Kafka partition?

Partitions are the main concurrency mechanism in Kafka . A topic is divided into 1 or more partitions , enabling producer and consumer loads to be scaled. Specifically, a consumer group supports as many consumers as partitions for a topic.

How reliable is Kafka?

Therefore, Apache-Kafka offers strong durability and fault tolerance guarantees. Note about Leaders: At any time, only one broker can be a leader of a partition and only that leader can receive and serve data for that partition. The remaining brokers will just synchronize the data (in-sync replicas).

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What is the difference between Kafka and Kafka streams?

Every topic in Kafka is split into one or more partitions. Kafka partitions data for storing, transporting, and replicating it. Kafka Streams partitions data for processing it. In both cases, this partitioning enables elasticity, scalability, high performance, and fault tolerance.

Is Kafka an ETL tool?

Companies use Kafka for many applications (real time stream processing, data synchronization, messaging, and more), but one of the most popular applications is ETL pipelines. Kafka is a perfect tool for building data pipelines: it’s reliable, scalable, and efficient.

Does Netflix use Kafka?

Netflix embraces Apache Kafka ® as the de-facto standard for its eventing, messaging, and stream processing needs. Kafka acts as a bridge for all point-to-point and Netflix Studio wide communications.