Skip to main content

Data-Driven Task Orchestrator

Project description

Renelick

This project is to provide low-level distributed task orchestration. It was forked from the KernelCI API code base to evolve into a more generic implementation than the particular use-case of automated Linux kernel builds and runtime tests on devboards.

Renelick's key features are:

  • Data tree and pub/sub events

    All the data is stored in a tree of Nodes objects which can hold any application-specific attributes.
    Whenever some data gets added, a pub/sub event is generated which can be used as a trigger for automation.

  • Orchestration and message queues

    Independently from the data, tasks can be scheduled via a distributed orchestration mechanism.
    Orchestrators can schedule tasks following particular triggers using message queues for load balancing.

  • User management

    Users can register with email verification, authenticate with OAuth2, get temporary JWT tokens and persistent API keys.

  • Runtime abstraction

    Runtime environments can be deployed anywhere, from standard Kubernetes to private instances with specific hardware.

  • Modular web dashboard

    The provided dashboard covers the common parts and can be extended with React elements for specific applications.

While the design principles are now well established, it is still under active development. The approach is to iterate over the whole stack, alternating between design decisions and implementation. Each iteration or "sprint" has a version number and an associated milestone.

Please see the documentation for full details, and the quick-start guide for setting up a local development instance.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

renelick-1.0.0rc1.tar.gz (103.6 MB view details)

Uploaded Source

Built Distribution

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

renelick-1.0.0rc1-py3-none-any.whl (126.7 kB view details)

Uploaded Python 3

File details

Details for the file renelick-1.0.0rc1.tar.gz.

File metadata

  • Download URL: renelick-1.0.0rc1.tar.gz
  • Upload date:
  • Size: 103.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for renelick-1.0.0rc1.tar.gz
Algorithm Hash digest
SHA256 7c5c3824bfe3fea1c68b2c31e1769cdfb56e32892c203b8e6bdb83b23c0f1ca1
MD5 9b2adcbde745c069a6c15fb0b0be216d
BLAKE2b-256 63804f282a866518ebfeb0bef146877aeeba0215edbcc7a196f8f98a9980587a

See more details on using hashes here.

File details

Details for the file renelick-1.0.0rc1-py3-none-any.whl.

File metadata

  • Download URL: renelick-1.0.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 126.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for renelick-1.0.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 66df80f48d87610e8c92fb28b3686fbb2893ded43aa187452afac5caa2609653
MD5 a09ad85d2f23ec6d92ef9b25068653d5
BLAKE2b-256 2fee6ab8d98777fee51c72de1bd5066b4bad3ab8101891a10a297dceff1c17ed

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