Skip to main content

KPOps is a tool to deploy Kafka pipelines to Kubernetes

Project description

KPOps

Build status pypi versions 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

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-1.2.3.tar.gz (44.5 kB view details)

Uploaded Source

Built Distribution

kpops-1.2.3-py3-none-any.whl (66.1 kB view details)

Uploaded Python 3

File details

Details for the file kpops-1.2.3.tar.gz.

File metadata

  • Download URL: kpops-1.2.3.tar.gz
  • Upload date:
  • Size: 44.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.6 Linux/5.15.0-1039-azure

File hashes

Hashes for kpops-1.2.3.tar.gz
Algorithm Hash digest
SHA256 9205d1018a100e58ec8ae68c6f30b75486ab1b06c29f58aaff0b1185e096df72
MD5 4b5e8119f0cff5e67c88a7adde295a01
BLAKE2b-256 00fbd423f0475540b58b9dafc276ce03e622a1d0fd7142474d5c562f3f0c3dce

See more details on using hashes here.

File details

Details for the file kpops-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: kpops-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 66.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.6 Linux/5.15.0-1039-azure

File hashes

Hashes for kpops-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0976fedaa9d7276e8f65ae340c667a60df4437e1f18b070348127f57eaec7adc
MD5 48377daa7753b9957dfae447625833c9
BLAKE2b-256 c90d2b1ed6be33c119da2d2c08130ea883ca59a23fe69ca94e83d32033fcd367

See more details on using hashes here.

Supported by

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