Skip to main content

KPOps is a tool to deploy Kafka pipelines to Kubernetes

Project description

KPOps

Build status pypi versions Ruff license

Key features

  • Deploy Kafka apps to Kubernetes: KPOps allows to deploy consecutive Kafka Streams applications and producers using an easy-to-read and -write pipeline definition.
  • Manage Kafka Connectors: KPOps connects with your Kafka Connect cluster and deploys, validates, and deletes your connectors.
  • Configure multiple pipelines and steps: KPOps has various abstractions that simplify configuring multiple pipelines and steps within pipelines by sharing common configuration between different components, such as producers or streaming applications.
  • Handle your topics and schemas: KPOps not only creates and deletes your topics but also registers and deletes your schemas.
  • Clean termination of Kafka components: KPOps removes your pipeline components (i.e., Kafka Streams applications) from the Kubernetes cluster and cleans up the component-related states (i.e., removing/resetting offset of Kafka consumer groups).
  • Preview your pipeline changes: With the KPOps dry-run, you can ensure your pipeline definition is set up correctly. This helps to minimize downtime and prevent potential errors or issues that could impact your production environment.

Documentation

For detailed usage and installation instructions, check out the documentation.

Install KPOps

KPOps comes as a PyPI package. You can install it with pip:

pip install kpops

GitHub action

Please refer to the GitHub Actions section for the documentation.

Contributing

We are happy if you want to contribute to this project. If you find any bugs or have suggestions for improvements, please open an issue. We are also happy to accept your PRs. Just open an issue beforehand and let us know what you want to do and why.

License

KPOps is licensed under the MIT License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kpops-10.8.0.tar.gz (575.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kpops-10.8.0-py3-none-any.whl (113.3 kB view details)

Uploaded Python 3

File details

Details for the file kpops-10.8.0.tar.gz.

File metadata

  • Download URL: kpops-10.8.0.tar.gz
  • Upload date:
  • Size: 575.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.14

File hashes

Hashes for kpops-10.8.0.tar.gz
Algorithm Hash digest
SHA256 4e916a074c4e9ad0fd157dd11b31e52a8b5f18dc234c54a82f55ad1d263b6844
MD5 de213e609294b5cff8b112f6fa298662
BLAKE2b-256 9593da2a23101be75cc474e0a719662b0ef1c8aec8522304b84aa20ed2b87346

See more details on using hashes here.

File details

Details for the file kpops-10.8.0-py3-none-any.whl.

File metadata

  • Download URL: kpops-10.8.0-py3-none-any.whl
  • Upload date:
  • Size: 113.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.14

File hashes

Hashes for kpops-10.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3761e4f947bb1dbe5dffd3c77d3682d93b19718aab780b788793923166cc6814
MD5 0f1d30588d5af40ead6d587eeb566750
BLAKE2b-256 54a2cb2ab21cdffe81342cb5097c835f394c92ff10014c982a8c1872ba3baec9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page