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-0.10.0.tar.gz (33.6 kB view details)

Uploaded Source

Built Distribution

kpops-0.10.0-py3-none-any.whl (51.5 kB view details)

Uploaded Python 3

File details

Details for the file kpops-0.10.0.tar.gz.

File metadata

  • Download URL: kpops-0.10.0.tar.gz
  • Upload date:
  • Size: 33.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-1031-azure

File hashes

Hashes for kpops-0.10.0.tar.gz
Algorithm Hash digest
SHA256 a316644ebd0803f35e2c1a59a1ffaa9f81ce4ae414ecf9cbd125ded9925811a6
MD5 ffbca5785ffd216437c322ba1656ba7b
BLAKE2b-256 6d2839eb4bcc07a89c03675187d4e1131d71674c3a6b0987eee6398305cdeef1

See more details on using hashes here.

File details

Details for the file kpops-0.10.0-py3-none-any.whl.

File metadata

  • Download URL: kpops-0.10.0-py3-none-any.whl
  • Upload date:
  • Size: 51.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-1031-azure

File hashes

Hashes for kpops-0.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4cd9dfdf5efc2490135a609e2691399dfd58bee94bde5725a0d576c10b2e6ac9
MD5 8b89c7bd0f1c727b949bbe8347728bec
BLAKE2b-256 4819e6bf24956b6770afdef9107ec2dd71519f89744ab2ae772c58237d21320c

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