# Kafka

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

### **CORE CAPABILITIES**

* **HIGH THROUGHPUT**

  ![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Architect/Message%20broker/Kafka/icon-high-throughput.svg)

  Deliver messages at network limited throughput using a cluster of machines with latencies as low as 2ms.
* **SCALABLE**

  ![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Architect/Message%20broker/Kafka/icon-scalable.svg)

  Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing.
* **PERMANENT STORAGE**

  ![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Architect/Message%20broker/Kafka/icon-database.svg)

  Store streams of data safely in a distributed, durable, fault-tolerant cluster.
* **HIGH AVAILABILITY**

  ![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Architect/Message%20broker/Kafka/icon-high-availability.svg)

  Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions.

[Kafka UI-tools](/readme/architect/message-broker/kafka/kafka-ui-tools.md)

[Kafka streams ksqlDb](/readme/architect/message-broker/kafka/kafka-streams-ksqldb.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://book.konstantinsecurity.com/readme/architect/message-broker/kafka.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.