https://github.com/monksy/awesome-kafka

A collection of kafka-resources
https://github.com/monksy/awesome-kafka

List: awesome-kafka

awesome awesome-list awesome-lists kafka kafka-streams

Last synced: about 2 months ago
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A collection of kafka-resources

• Host: GitHub
• URL: https://github.com/monksy/awesome-kafka
• Owner: monksy
• Created: 2018-12-28T22:36:37.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-31T16:47:00.000Z (8 months ago)
• Last Synced: 2024-05-20T03:00:46.116Z (4 months ago)
• Topics: awesome, awesome-list, awesome-lists, kafka, kafka-streams
• Size: 95.7 KB
• Stars: 196
• Watchers: 10
• Forks: 40
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• fucking-awesome-awesomeness - Kafka
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• awesome-ccamel - monksy/awesome-kafka - A collection of kafka-resources (Misc)
• awesomelist - awesome-kafka
• more-awesome - Kafka - Kafka-resources. (To Sort)
• collection - awesome-kafka
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• awesome-awesomeness - Kafka

README

        
# awesome-kafka

This list is for anyone wishing to learn about [Apache Kafka](http://kafka.apache.org/), but do not have a starting point.

#### How to contribute

Fork the repository, create a contribution, and create a pull request against monksy/awesome-kafka:master.

Table of Contents

=================

   * [Learning/Resources](learning.md)

   * [Tools/Utilities/Monitoring](tools.md)

   * [Client Libraries](clients.md)

   * [Libraries with Kafka Support](libraries.md)

   * [Kafka Connectors](connectors.md)

   * [Testing](testing.md)

   * [Projects with Kafka Integrations](integrations.md)

   * [Social Resources](social.md)

   

## Requests for Help/TODO

 

 - Learning: Organize articles into tutorials, case studies, product related, reference, etc

 - Create a section for resources that will help to quickstart learning for kafka and kafka streams

 - Add about sections per each page.

 - Merge in repo: https://github.com/semantalytics/awesome-kafka

 - Find Example projects with kafka

 - Organize learning.md by the types/subsystem that they are using

 - Add section headers

 - Find blogs that are dedicated to Kafka

 - Create sections for all the sub-sections

    - Kafka Streams 

    - KSQL 

    - Kafka Connect

    - etc

 - Solicit for help from the community 

 - Get involved with Kafka community (gitter/slack/irc/mailing list)

 - Fix links in learning

 - Verify links work

 

## Where did this information come from?

 - Originally from: https://github.com/infoslack/awesome-kafka

 - Client Libraries, Tools, etc from https://github.com/dharmeshkakadia/awesome-kafka

 - Awesome-data-engineering list for kafka: https://github.com/monksy/awesome-data-engineering