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-1.2.2.tar.gz (44.4 kB view details)

Uploaded Source

Built Distribution

kpops-1.2.2-py3-none-any.whl (66.1 kB view details)

Uploaded Python 3

File details

Details for the file kpops-1.2.2.tar.gz.

File metadata

  • Download URL: kpops-1.2.2.tar.gz
  • Upload date:
  • Size: 44.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.6 Linux/5.15.0-1040-azure

File hashes

Hashes for kpops-1.2.2.tar.gz
Algorithm Hash digest
SHA256 3fed84804a4431a8adbb9c564f6ff527593f07274f4bf16d9eb6a16e89f8134c
MD5 7c4bee06cfe75c77bcf30a359a64e8ad
BLAKE2b-256 95b2fb84d65ff9e9a8fc526faab11c977102d56344b1d9e37d2a99b87939262b

See more details on using hashes here.

File details

Details for the file kpops-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: kpops-1.2.2-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/5.15.0-1040-azure

File hashes

Hashes for kpops-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 4bb05969d0026985a8d8c7b20e2fb188e5d9dbab2e82372bdc72452f75bb4b8e
MD5 c6855d1101145191361a4abfebfc6b96
BLAKE2b-256 a984c38507eb58e887b03ee692df79f9cf3f8b474bfa7e1f53475019dc865dc8

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