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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: 2 months ago
JSON representation
A collection of kafka-resources
- Host: GitHub
- URL: https://github.com/monksy/awesome-kafka
- Owner: monksy
- Created: 2018-12-28T22:36:37.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-01-31T16:47:00.000Z (8 months ago)
- Last Synced: 2024-05-20T03:00:46.116Z (5 months ago)
- Topics: awesome, awesome-list, awesome-lists, kafka, kafka-streams
- Size: 95.7 KB
- Stars: 196
- Watchers: 10
- Forks: 40
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- fucking-awesome-awesomeness - Kafka
- fucking-lists - awesome-kafka
- awesome-ccamel - monksy/awesome-kafka - A collection of kafka-resources (Misc)
- awesomelist - awesome-kafka
- more-awesome - Kafka - Kafka-resources. (To Sort)
- collection - awesome-kafka
- lists - awesome-kafka
- 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