openYuanrong is a serverless distributed compute engine that unifies diverse workloads, from AI and big data to microservices, on a single, streamlined architecture. It provides multi-language function interfaces that simplify the development of complex distributed applications to feel just like writing a local program. Powered by dynamic scheduling and efficient data sharing, openYuanrong ensures high-performance execution and maximum cluster resource utilization.
openYuanrong supports modular, on-demand usage of a multi-language function runtime, function system, and data system.
- Multi-language Function Runtime: Build powerful, distributed applications in Python, Java, and C++ as easily as you would write a program for a single machine.
- Function System: Maximize cluster resource utilization with dynamic scheduling, which seamlessly scales and migrates function instances across nodes.
- Data System: Accelerate data transfer between function instances using a multi-level distributed caching system that supports both object and stream semantics.
In openYuanrong, the function is a core abstraction that extends the serverless model. It behaves like a process in a single-machine OS, representing a running instance of a distributed application while offering native support for cross-function invocation.
openYuanrong consists of three code repositories:
- yuanrong: The multi-language function runtime (current repository).
- yuanrong-functionsystem: Refers to the function system repository.
- yuanrong-datasystem: Refers to the data system repository.
Check the openYuanrong documentation to learn how to develop distributed applications with openYuanrong.
- Installation：
pip install https://openyuanrong.obs.cn-southwest-2.myhuaweicloud.com/release/0.7.0/linux/x86_64/openyuanrong-0.7.0-cp39-cp39-manylinux_2_34_x86_64.whl，More Details. - Quick Start Guide
We welcome all forms of contributions to openYuanrong. Please refer to our contributor guide.