Yelp - Yelp Tech Stack

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Yelp was founded in 2004 to help people find great local businesses like dentists, hair stylists and mechanics. Yelp had an average of approximately 102 million monthly unique visitors in Q1 2013. Yelpers have written over 39 million local reviews. In addition to reviews, you can use Yelp to find events, lists and to talk with other Yelpers.

Utilities

Google Analytics

General Analytics

CloudFlare [8]

Content Delivery Network

Dyn

DNS Management

UserTesting [18]

User Feedback as a Service

AWS Direct Connect [19]

Cloud Dedicated Network Connection

G Suite

OneLogin [17]

Open Jobs at Yelp

Software Engineer - Service Infrastru...

Site Reliability Engineer - Observabi...

Engineering Manager - Metrics Platform

+ 3

Software Engineer - New Grad - Data M...

View More (170)

References

[2] http://www.yelp.com/

[3] http://blog.docker.com/2014/06/keynote-and-breakout-session-slides-from-dockercon14/

[5] http://engineeringblog.yelp.com/2015/01/mysql-at-yelp.html

[6] http://engineeringblog.yelp.com/2014/10/scaling-traffic-from-0-to-139-million-unique-visitors.html

[17] http://www.onelogin.com/testimonials/

[18] http://www.usertesting.com/about-us/success-stories

[20] http://pre-commit.com/

[21] https://github.com/Yelp/dumb-init

[22] https://github.com/Yelp/dockersh

Amazon S3
Cloud Storage

Data Stores

In October 2008 we moved to using scribe (now a custom branch), which has served us very well over the past 5+ years that we’ve been using it. We take the logs scribe aggregates and move them into Amazon S3 for storage, which makes using EMR on AWS seamless.
AWS Direct Connect
Cloud Dedicated Network Connection

Application Utilities

We’ve also been able to leverage Amazon EC2 using AWS Direct Connect, which allows our engineering teams to bring up hardware whenever they need. It’s been awesome removing the hardware barrier for getting to production.
Hadoop
Databases

Data Stores

in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).
Storm
Stream Processing

Data Stores

Real-time analytics are much better than periodically run batch jobs, so recently we open sourced Pyleus which allows anyone to write Storm topologies using Python.

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