Find out how we transformed Yelpโs Customer Success with an AI-powered chatbot! By combining LLMs with Retrieval Augmented Generation, we doubled resolution rates and made support smarter and more conversational. Read the blog by Lina L., and Nelson L.
๐https://t.co/cfaYGAtsEm
Visualizing data access at scale helped us reduce our S3 data lake storage costs by 33%! Our latest blog post by Nick D. explains how fine-grained usage insights empowered better storage policies and platform improvements at Yelp ๐https://t.co/Gumk61B49W
We reduced our JS build times by ~52% by migrating from Webpack to Rspack! Check out this post by Benson P and dive into how we optimized bundle speed, handled config migration, and made our dev workflow faster at scale ๐https://t.co/X8eqqi92JF
One button. Four platforms. Zero inconsistencies. In our latest post, Radu C. explains how we built Konbini to auto-generate UI components from a single source of truth so the backend, iOS, Android, and Web are always in sync. Check it out here ๐ https://t.co/m3Qno0C5XX
The Database Reliability Engineering team at Yelp seamlessly upgraded more than a thousand Cassandra nodes with zero downtime; resulting in 58% boost in read/write query performance. Curious how? Have a look at our latest blog: https://t.co/iGM61fXOs6
Read our latest post by Samuele M. to discover how Yelp Engineering built a robust Back-Testing engine to make ad budget allocation smarter and safer! Dive into our tech, learnings, and impact on campaign optimization. ๐Read the post here: https://t.co/MHfeGV3qXi
Keeping Yelp reliable for millions means handling data at scale. In our latest blog post, Nurdan A shares how smarter S3 log management helps enhance both security and speed for our users! Read the post here: https://t.co/CV62mO2n6t
New: Jonathan B. & Xin S. take you behind the scenes of CHAOS, Yelp's server-driven UI framework. Discover how our backend processes each request and assembles dynamic UI configurations to keep Yelp fast, flexible, and user-focused.
Read the deep dive: https://t.co/eN4KPdjVbN
New: Anukriti & Chukwuemeka share part three of our Revenue Automation Series! See how we tackled testing and data challenges while integrating a 3rd party system for revenue automation at Yelp. Discover our lessons & improvements: https://t.co/Bxc4WFLD27
Join us on May 29 at 12 PM ET to hear from four women leaders at Yelp as they go deeper into the empowering nature of public speaking with @PowerToFly.
RSVP โก๏ธ https://t.co/Tk9Jg8YnBM #PowerToFly
In our new post, Sarthak and Andrew walk us through the big updates in Nrtsearch V1! Discover how incremental backups, smarter state management, ephemeral local disks, and a move to Lucene 10 are powering faster, more reliable search at Yelp.
๐: https://t.co/pDJX57VEGn
Join us on March 19 at 10 AM PT to hear from Fatima and Priyal as they discuss insights on the empowering nature of public speaking and practical advice on elevating your public speaking journey at the @PowertoFly Empower Her Summit. RSVP โก๏ธ https://t.co/U4tKWCBGh7 #PowerToFly
๐๏ธ Mark your calendars! In an upcoming virtual job fair in partnership with @PowertoFly on March 20, five Yelp representatives will be available to discuss Yelp career opportunities and employee experience. RSVPโก๏ธhttps://t.co/U4tKWCBGh7
#LifeAtYelp#FiveStarCareer#PowerToFly
๐ New: Yizheng Z. & Yirun Z. dive into the second installment of our Revenue Automation Series! Discover how our engineering team crafted a complex data pipeline for seamless 3rd party integration, automating revenue recognition at Yelp.
Check it out ๐ https://t.co/BelC2rRIVi
Exciting insights from Loc T., Ali R., and John H. on enhancing search query understanding at Yelp! Discover how LLMs are revolutionizing the way we interpret user intent, improving search accuracy and user satisfaction. Dive into our journey here: https://t.co/PC9LJmNIN7
Check out our latest blog post by Yunhui Z. on how we achieved a 1400x speedup in training our ad-revenue models! Discover how we optimized training time using TensorFlow, Horovod, and our in-house ArrowStreamServer for efficient data streaming. More here: https://t.co/DFbaKWeWNk
We're saying farewell to our internally developed autoscaler, and embracing AWS Karpenter! ๐ Ilkin M. & Ankit T. discuss why we switched, the benefits of improved scalability, and key lessons learned during the switch. Read the blog here: ๐https://t.co/2bgihgWbFa
At Yelp, we embrace innovation and thrive on new possibilities๐ New on the blog: Christopher A. explains how a data architecture migration project enhances batch data loading, boosting performance and developer speed with DBT. ๐https://t.co/3SpvQ0GiLb
#DBT#Redshift
In our latest post, Paul M explains how how we boosted navigation performance on Android by ~30%! By transitioning from multiple activities to a single activity with multiple fragments, we've enhanced the Yelp app speed and UX. Read the full story:
๐๐https://t.co/WIwWrwbpCO
In our latest blog post by Alex T, we dive into the challenges and solutions of a complex database migration at Yelp for Restaurants. Learn how we switched from PostgreSQL to MySQL with no downtime.
๐๐ https://t.co/j1gEPm3gkB