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Gabriel Cebrian photo

gabceb Goto Github PK

followers: 60.0 following: 72.0 repos: 84.0 gists: 5.0

Name: Gabriel Cebrian

Type: User

Company: @rbilabs

Bio: Passionate coder and manager. Created @blendspace. Currently, hacks + grows engs at @rbilabs while building for millions of users at BK, Popeyes & Tim Hortons

Twitter: gabceb

Location: Miami, FL

Hi there 👋

Gabriel Cebrian's Projects

415tiles icon 415tiles

415 Tiles is an open-source map designed for San Francisco bicyclists.

bbudebuggertuckaway icon bbudebuggertuckaway

Xcode plugin for auto-hiding the debugger once you start typing in the source code editor.

bikeshare-1 icon bikeshare-1

A Ruby Gem for interacting with Bay Area Bike Share stations and bike info

capacitor-rate-app icon capacitor-rate-app

Let users rate your app using native review app dialog for both Android and iOS.

cdnjs icon cdnjs

Our goal is to operate this CDN in a peer reviewed fashion.

codecombat icon codecombat

Multiplayer programming game for learning how to code.

cohort_me icon cohort_me

Provides tools to Ruby and Rails developers to perform cohort analysis.

d2s3 icon d2s3

Rails plugin which provides a form helper to upload files directly to Amazon's S3 using an HTTP POST

devise icon devise

Flexible authentication solution for Rails with Warden.

fakeweb icon fakeweb

Testing tool to create dummy responses to HTTP requests, modeled after: https://github.com/chrisk/fakeweb

hirefire icon hirefire

HireFire automatically "hires" and "fires" (aka "scales") Delayed Job and Resque workers on Heroku. When there are no queue jobs, HireFire will fire (shut down) all workers. If there are queued jobs, then it'll hire (spin up) workers. The amount of workers that get hired depends on the amount of queued jobs (the ratio can be configured by you). HireFire is great for both high, mid and low traffic applications. It can save you a lot of money by only hiring workers when there are pending jobs, and then firing them again once all the jobs have been processed. It's also capable to dramatically reducing processing time by automatically hiring more workers when the queue size increases.

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