Skip to main content

KPOps is a tool to deploy Kafka pipelines to Kubernetes

Project description

KPOps

Latest release Build status

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

Features

  • Deploy Kafka apps to Kubernetes: KPOps allows to deploy consecutive Kafka Streams applications, producers, and Kafka connectors using an easy-to-read and write pipeline definition.
  • Configure multiple pipelines and steps: KPOps comes with various abstractions that simplify configuring multiple pipelines and steps within pipelines by sharing configuration between different applications, like producers or streaming applications.
  • Customize your components: KPOps comes with multiple base components (Kafka connect, producer, etc.) and allows you to introduce custom components.
  • Handle your topics and schemas: KPOps not only creates and deletes your topics but also registers and deletes your schemas.
  • Manage the lifecycle of your components: KPOps can deploy, destroy, reset, and clean your defined components from the Kubernetes cluster.

Install KPOps

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

pip install kpops

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-0.11.2.tar.gz (35.0 kB view details)

Uploaded Source

Built Distribution

kpops-0.11.2-py3-none-any.whl (53.0 kB view details)

Uploaded Python 3

File details

Details for the file kpops-0.11.2.tar.gz.

File metadata

  • Download URL: kpops-0.11.2.tar.gz
  • Upload date:
  • Size: 35.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-1034-azure

File hashes

Hashes for kpops-0.11.2.tar.gz
Algorithm Hash digest
SHA256 4fdb56541a35b5749853f2e3a3e85491e69735d161762118b5886d31c6a982bf
MD5 a768aa109b79052a78c1d815c671b1dc
BLAKE2b-256 9c0f02f938efd60c3e6e2a678b58568eaebdfb7e6d769c3af87f48f3c03e8e8b

See more details on using hashes here.

File details

Details for the file kpops-0.11.2-py3-none-any.whl.

File metadata

  • Download URL: kpops-0.11.2-py3-none-any.whl
  • Upload date:
  • Size: 53.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-1034-azure

File hashes

Hashes for kpops-0.11.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d265f29bdd6dfa4c3616c8cd2adf11878915094762f187ce2ff396d332f9d3f1
MD5 dcdfbccb750f213eae9ac345c4955fac
BLAKE2b-256 086064ee11fc52a6abdd953f31a923e625dc4cb0a5cf77d7220ea89ce3d63d69

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