Giter VIP home page Giter VIP logo

featureprobe's Introduction

Feature Management Service, FeatureProbe

Last Commit Docker Pulls Apache-2.0 license Join Unleash on Slack

FeatureProbe

FeatureProbe is our open source feature management service. It allows R&D, SRE and operation teams to launch new features or switch software implementations with confidence and lower risk. FeatureProbe eliminates manual delays through its practice in continuous delivery and is not hindered by the size of a team or the complexity of a product, which allows developers to maintain their velocity. It also enables the operation team to change online service parameters within seconds or roll out configurations progressively without effort.

With over 5 years of usage in a company of 5000+ developers, we have seen the remarkable difference FeatureProbe makes through the acceleration of daily development tasks. It also supports our million-user level product daily operations.

Now we are making this project open source to help more developers and operation people and contribute to the programming society.

Why you should use FeatureProbe

FeatureProbe brings about value to our daily development and operations in these aspects:

  1. Reducing development effort to merge branches. We can use feature toggles to set up gates for features on the main branch rather than creating branches for features. This can help us reduce time and effort from merging branches frequently and increase development velocity.
  2. Lowering down the time to recover. Feature toggles can separate and limit service issues from spreading by turning off the problematic services or carrying out service degradations. The SRE team can control the toggles on UI rather than waking up R&D on-call staff to do something.
  3. Saving testing environment cost. FeatureProbe makes it possible to test new features in the production environment by enabling them for a small portion of users and collecting feedback.
  4. One-stop configuration center for operation. FeatureProbe provides a comprehensive and user-friendly management portal for configuring and managing features, rollout, rollback, peer reviews, accounts and permissions, the operation team can use the portal solely to set up and send out specific features/versions to certain users based on their geolocation or other factors.
  5. Doing A/B testings to get insights. FeatureProbe helps the operation team do online A/B testing easily and gain insight from different marketing/sales strategies, which is one of the key factors in increasing the product or service's sales performance.
  6. And more! Discover all the amazing things FeatureProbe can accomplish.

FeatureProbe screenshot

Getting Started

FeatureProbe includes several key components, such as API Server, Evaluation Server, UI/Portal, database and SDKs for different coding languages. FeatureProbe Architecture You can boot up all the key components together through Docker compose, which will be sufficient for most use cases. In special circumstance, you may want to boot up these components independently on different servers, by using Docker images, or by modifying the source code and building/deploying your own version.

1. Starting FeatureProbe Service with Docker Compose

Make sure you have git and docker installed.

Clone the repository to your server and boot up the services. Change the ports defined in docker-compose.yml as needed.

git clone https://github.com/FeatureProbe/FeatureProbe.git
cd FeatureProbe
docker compose up

Go to UI/Portal at localhost:4009 and use the default credentials to log in. Note that you should replace 4009 with your port number if you made any changes previously. Remember to update the admin password after your first time login.

  • username: admin
  • password: Pass1234

2. Importing SDK and Configuring Toggles in Your Code Base

There are two types of SDKs for FeatureProbe.

The first one is server-side SDK. These SDKs work in server side applications (such as Java Java SDK, Rust Rust SDK ) and use configuration data fetched from FeatureProbe Server to evaluate the variation results. They are flexible to allow you adding your own configurations or rules on top of the ones from the Server.

The second one is client-side SDK. These SDKs work in client side applications (such as Javascript Javascript SDK, iOS or Android mobile SDK) and use the evaluation results provided by FeatureProbe Server. The usage is straightforward and only getting evaluation results from FeatureProbe Server can guarantee the client side performance and data security.

Find out the available coding language-specific SDK here and try them out in your applications.

3. API Endpoints Documentation

Checkout the API endpoints at http://localhost:4009/api-docs after you boot up the service locally. You may need to modify the host address and port if you deploy the services in a different way.

4. Examples

We provide several use cases to reflect our practises of using FeatureProbe to carry out feature configurations gradually, doing service degradation, and doing A/B testing. Check them out at User Guide.

Contributing

We are working on continue evolving FeatureProbe core, making it flexible and easier to use. Development of FeatureProbe happens in the open on GitHub, and we are grateful to the community for contributing bugfixes and improvements.

Please read CONTRIBUTING for details on our code of conduct, and the process for taking part in improving FeatureProbe.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

featureprobe's People

Contributors

fengshang avatar

Stargazers

77 avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.