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Apache Kafka

Product
Developers: Apache Software Foundation (ASF)
Last Release Date: 2014/04/29
Technology: DBMS

Content

Apache Kafka is a distributed software message broker, open source project[1].

2024: Integration into "Garda Deception 1.10.0"

The developers integrated Garda Deception 1.10.0 with Apache Kafka message broker. Now the system detects suspicious authorization attempts in the domain and automatically creates an information security incident with notification of responsible persons. Updates help improve responsiveness to threats. The developer announced this on August 26, 2024. Read more here.

2020: Yandex Managed Service for Apache Kafka availability in Yandex.Cloud

The Yandex.Cloud platform opens access to the Yandex Managed Service for Apache Kafka service, which simplifies the creation and management of applications in Yandex.Cloud for developers and DevOps engineers, and does not require expertise in managing the Apache Kafka and Apache Zookeeper infrastructure. The service works in preview mode, free access is provided on request. This became known on July 28, 2020. Read more here.

2019: Multi-Stakeholder Development Model

One of the key needs of today's IT is the ability to stream data in real time. It is for these purposes that the Apache Kafka platform is designed, which can transfer streaming data about website browsing history, financial transactions and application logs to applications developed on Apache Spark Streaming, Apache Storm or Apache Samza platforms. Kafka has been developed LinkedIn and is using a multi-stakeholder development model. According to ASF, the platform is used by many large companies, including Airbnb LinkedIn, MailChimp,,,, Netflix, New York Times Oracle PayPal Pinterest,, and. Spotify Twitter Uber

2015: Apache Kafka Properties

Developed as part of the Apache Software Foundation. Written in the Scala programming language.

Properties

  • originally designed as a distributed system that is easy to scale,
  • supports high throughput, both from the source side and for subscriber systems,
  • supports merging subscribers into groups,
  • enables temporary storage of data for subsequent batch processing.

One of the features is the use of techniques similar to transaction logs used in database management systems.

At first, the product was developed by LinkedIn, the source codes of the project were opened in early 2011.

The product is distributed under the Apache License 2.0.

Notes