Knix
Serverless computing platform with process-based lightweight function execution and container-based application isolation. Works in Knative and bare metal/VM environments.
Stars
193
Forks
23
Open issues
21
Closed issues
53
Last release
over 2 years ago
Last commit
about 1 year ago
Watchers
193
Total releases
14
Total commits
619
Open PRs
5
Closed PRs
65
- Project Website
- https://knix.io/
- Platform
- License
- apache-2.0
- Category
- Usecase
- Serverless Installable Platform
- Technology
- MongoDB Python Rust javascript Shell Dockerfile Makefile HTML SCSS Jinja Erlang Mustache Jupyter Notebook Thrift
- Offers premium version?
- NO
- Proprietary?
- NO
- About
-
Overview
KNIX MicroFunctions is an open source serverless computing platform for Knative as well as bare metal or virtual machine-based environments. It combines container-based resource isolation with a light-weight process-based execution model that significantly improves resource efficiency and decreases the function startup overhead.
Compared with existing serverless computing platforms, KNIX MicroFunctions has the following advantages:
- Low function startup latency & high resource efficiency
- Fast locality-aware storage access
- Python and Java function runtimes
- Workflow support and compatibility with Amazon States Language (ASL)
- Support for long-running functions for continuous data processing applications
- Powerful web UI, SDK and CLI for effective serverless application development
Screenshots
Installation
This section covers installing KNIX.
Installing KNIX MicroFunctions on Kubernetes
KNIX can be installed using helm charts, assuming you have a Kubernetes cluster and Knative running.
Please refer to the Helm package deployment README.
Installing KNIX MicroFunctions on Bare Metal or Virtual Machines
KNIX MicroFunctions can also be installed using Ansible playbooks on bare metal or virtual machines. You'll need a user with sudo access.
Please refer to the installation README.
Hosted Service
More info on hosted services for hands-on experimentation with the KNIX MicroFunctions platform can be found at: https://knix.io.
Getting Involved
We encourage you to participate in this open source project. We welcome pull requests, bug reports, ideas, code reviews, or any kind of positive contribution.
Before you attempt to make a contribution please read the Code of Conduct.
-
Join our Slack workspace https://knix.slack.com which has 'users' and 'dev' channels.
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(Optionally) subscribe to knix-users mailing list and/or knix-dev mailing list.
License
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