The 2021 Ray Community Pulse Survey is Now Open

By Michael Galarnyk   
Ray Ecosystem

Calling all Ray users! Take a few minutes to complete the Ray Community Pulse survey to let us know how your use Ray and help guide our roadmap.

We are excited to launch our first annual Ray Community Pulse Survey

The Ray project began several years ago at UC Berkeley. Over time, the project has seen tremendous growth, and now has over 450 contributors from 100+ companies. We've seen thousands of users adopt Ray to scale up their applications. Since the release of Ray 1.0 last year, Ray has grown with recent developments including integrations with libraries like Horovod and XGBoost, as well as feature enhancements to existing libraries like Ray Serve and RLlib.

As our developer community grows and evolves, we want to constantly keep a pulse on how you are using Ray today, and what could we do to improve the product experience for you. Your feedback will help guide our roadmap — which features we prioritize, which abstractions and APIs we provide, and which workflows to optimize for.

What we want to know in 2021

Your use case and requests

Ray has become a go-to framework for not only scaling Python applications, but also Python libraries. Some use cases of Ray include scaling up code, training and serving ML models, and more recently non-ML workflows (e.g. data processing pipelines, aggregations, ETL, etc). A lot of library integrations and use cases were developed through feedback and contributions from our community (GitHub, Slack, Discuss, etc). 

As the number of users have grown, we want to do our best to have our survey represent everyone using Ray. Some of this is about better understanding your use cases, libraries, and services you use alongside Ray.  Even more is about understanding the context of your requests.

Your tools, language(s), and OS

Due to the popularity of Ray, there are now Java and C++ APIs. Understanding how these API’s are being used as well as some common pain points will allow us to make the experience as frictionless as possible. Additionally, understanding a bit about your infrastructure, Ray client usage, and how you launch Ray clusters will enable us to better prioritize features.

Take 5 minutes to help improve Ray

This year, we will donate $2 for every survey completion to one of three charitable organizations of your choosing: World Central Kitchen, DonorsChoose, and Doctors Without Borders. 

We are looking forward to hearing from everyone in our community — from people just trying out Ray to long time users and contributors. We value everyone’s feedback.

You can take the survey here

We thank you for being a part of the Ray community, and helping to improve the Ray experience.

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