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engineeringblog.yelp.com
Nrtsearch: Yelp’s Fast, Scalable and Cost Effective Search Engine Sarthak Nandi, Software Engineer and Umesh Dangat, Group Tech Lead Sep 21, 2021 Search and ranking are part of many important features of Yelp - from looking for a plumber to showing relevant photos of the dish you search for. These varied use-cases led to the creation of Yelp’s Elasticsearch-based ranking platform, allowing real-ti
Casper is a caching proxy designed to intercept traffic flowing between internal Yelp services. It is built with Nginx and OpenResty at its core and contains some logic in Lua to fit in our ecosystem. Today we’re proud to announce that Casper is opensource and available on Github. To introduce the context in which Casper was created, this post outlines a few basics about Yelp’s SOA, explains the t
Ever since we rolled out our zero-downtime HAProxy reload system a few years ago, we have been disappointed that it required additional investment to work well for our external load balancing on our edge. We did generate a prototype that used an intermediary qdisc so we could apply the approach, but after evaluating the prototype, and finding that Linux wasn’t going to fix the upstream Kernel issu
We’re continuously adding new features to our API to make it easier for developers to integrate with our data and share great local businesses through their apps. Today, we’re releasing access to query our data via GraphQL, a graph query language. This is available immediately through our developer beta program. What is GraphQL? GraphQL is a query language for APIs that places emphasis on being ab
Prem Santosh Udaya Shankar, Software Engineer Aug 1, 2016 This post is part of a series covering Yelp's real-time streaming data infrastructure. Our series explores in-depth how we stream MySQL and Cassandra data at real-time, how we automatically track & migrate schemas, how we process and transform streams, and finally how we connect all of this into data stores like Redshift, Salesforce, and El
At Yelp we leverage Cassandra to fulfill a diverse workload that seems to combine every consistency and availability tradeoff imaginable. It is a fantastically versatile datastore, and a great complement for our developers to our MySQL and Elasticsearch offerings. However, our infrastructure is not done until it ships and is monitored. When we started deploying Cassandra we immediately started loo
Whether it’s battery usage, network, or time, we care a lot about our users’ resources. A big app creates a barrier of entry for users on metered or low speed networks. Last Thanksgiving, our automated alerts let us know that our app size was getting larger than we’d like, and making it harder for low resource users to download our app. Here we saw an upward trend in app size as we added more feat
Introducing dumb-init, an init system for Docker containers At Yelp we use Docker containers everywhere: we run tests in them, build tools around them, and even deploy them into production. In this post we introduce dumb-init, a simple init system written in C which we use inside our containers. Lightweight containers have made running a single process without normal init systems like systemd or s
Introducing PaaSTA: An Open, Distributed, Platform as a Service As an Operations engineer, my first priority is to keep the site up. A close second is enabling developers to quickly go from an idea to running code in production. Once an organization grows, the only sane way to ship code with any reasonable frequency is to split it up into microservices, also known as building a Service Oriented Ar
Yelp hosts tens of millions of photos uploaded by Yelpers from all around the world. The wide variety of these photos provides a rich window into local businesses, a window we’re only just peeking through today. One way we’re trying to open that window is by developing a photo understanding system which allows us to create semantic data about individual photographs. The data generated by the syste
We have since migrated to a more robust solution that uses NGINX and HAProxy together to achieve our goals. See that solution here HAProxy: Cornerstone of Reliable Websites One primary goal of the infrastructure teams here at Yelp is to get as close to zero downtime as possible. This means that when users make requests for www.yelp.com we want to ensure that they get a response, and that they get
Yelp uses Elasticsearch to rapidly prototype and launch new search applications, and moving quickly at our scale raises challenges. In particular, we often encounter difficulty making changes to query logic without impacting users, as well as finding client library bugs, problems with multi-tenancy, and general reliability issues. As the number of engineers at Yelp writing new Elasticsearch querie
Dave M Search and Data-Mining Engineer Oct 29, 2010 Ever wonder how we power the People Who Viewed this Also Viewed… feature? How does Yelp know that people viewing Coit Tower might also be interested in the Filbert Steps and the Parrots of Telegraph Hill? It’s pretty much what you’d expect: we look at a few months of access logs, find sessions where people viewed more than one business, and colle
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