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-10.7.1.tar.gz (568.3 kB view details)

Uploaded Source

Built Distribution

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

kpops-10.7.1-py3-none-any.whl (108.9 kB view details)

Uploaded Python 3

File details

Details for the file kpops-10.7.1.tar.gz.

File metadata

  • Download URL: kpops-10.7.1.tar.gz
  • Upload date:
  • Size: 568.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.14

File hashes

Hashes for kpops-10.7.1.tar.gz
Algorithm Hash digest
SHA256 556f47cdafa4ccef495072397eb793dd77b2c6ae6618bb5c93e51e7bd52b69f4
MD5 feea9cfcc7058c55e046470625402740
BLAKE2b-256 f791f9d24e5872a3466ad94e8d7afacc8cce419486c157dede6ea3108bd3a09e

See more details on using hashes here.

File details

Details for the file kpops-10.7.1-py3-none-any.whl.

File metadata

  • Download URL: kpops-10.7.1-py3-none-any.whl
  • Upload date:
  • Size: 108.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.14

File hashes

Hashes for kpops-10.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a27595b9a88ae5808b9e1020a97d1ac8926937c9db6e964bcf2de80ed4eb3648
MD5 15e77a9e7a67aa09f44c55799cfbea10
BLAKE2b-256 6572c31267d9c265e25ae311889fb2c1017ebeddd365502c993d87340973a37b

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