你可能會喜歡
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: bit.ly/4o2muzM
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: bit.ly/44kL8nc
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 ➡️ bit.ly/4cRcapa #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. 🔗: bit.ly/3YACAp4
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 ➡️ powertofly.com/events/summit/… #PowerToFly
🗓️ 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. RSVP➡️powertofly.com/events/summit/… #LifeAtYelp #FiveStarCareer #PowerToFly
🚀 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 👉 bit.ly/4i1xR76
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: bit.ly/3WPq04r
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: bit.ly/4hrekg1
We're saying farewell to our internally developed autoscaler, and embracing AWS Karpenter! 🚀 Ilkin M. & Ankit T. discuss why we switched, the benefits of improved scalability, and key lessons learned during the switch. Read the blog here: 👉bit.ly/4ix3bMd
At Yelp, we embrace innovation and thrive on new possibilities🚀 New on the blog: Christopher A. explains how a data architecture migration project enhances batch data loading, boosting performance and developer speed with DBT. 👉bit.ly/3C9REBB #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: 🔗👉bit.ly/3NkXdj5
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. 🔗👉 bit.ly/3XZivaK
Discover how we're boosting ML pipeline efficiency with direct Cassandra ingestion from Spark. This innovation boosted our Machine Learning Pipelines efficiency by around 25% by writing directly to datastores. Dive into the details here: bit.ly/3zqsygP
Learn how Yelp uses dbt's generic tests to automate data validation for sessions data, improving data integrity and supporting reliable business decisions. Check out the blog post by Yukang Tian: 🔗👉bit.ly/3Memn25
Our latest blog recaps our journey in enabling multi-metric support. We dive into scaling improvements, tackling legacy code challenges, and essential lessons learned. Multi-metric scaling is critical for accurate and resilient resource management. 🔗👉bit.ly/3AeI3bL
In this blog post, Ajay explains how attribute-based instance selection in the autoscaling group has helped us make our infrastructure more reliable and cost-effective, while also decreasing operation overhead. Read the post here: bit.ly/3WoGvFc
The trust and safety of our consumers and business owners is one of our top priorities at Yelp. In this blog post, Prateek shares how Yelp protects users from inappropriate video content through automated and human moderation. Read the blog post here: bit.ly/3TsGYDe
In this blog, Hristo shares how phone number masking helps build consumer trust, decreases the friction in communication with service professionals, and more, while presenting a high-level overview of our in-house phone masking system at Yelp. Learn more: bit.ly/3x9lNyy
Our latest blog post by Joshua W gives a deep dive into CHAOS, Yelp's unified framework designed to help our teams update the content of our mobile apps and websites quickly from our backend using server-driven UI (SDUI). Read the post: 👉bit.ly/3PlFHwo
United States 趨勢
- 1. Chiefs 107K posts
- 2. Branch 33K posts
- 3. Mahomes 33K posts
- 4. #TNABoundForGlory 54.6K posts
- 5. Binance DEX 5,122 posts
- 6. #LaGranjaVIP 68.2K posts
- 7. #LoveCabin 1,140 posts
- 8. Red Cross 36.3K posts
- 9. LaPorta 10.7K posts
- 10. Rod Wave 1,236 posts
- 11. Bryce Miller 4,433 posts
- 12. Goff 13.7K posts
- 13. Dan Campbell 3,831 posts
- 14. #OnePride 6,372 posts
- 15. Kelce 16.5K posts
- 16. Butker 8,478 posts
- 17. Mariners 49.5K posts
- 18. #DETvsKC 4,963 posts
- 19. Eitan Mor 6,710 posts
- 20. Omri Miran 7,163 posts
你可能會喜歡
-
Spotify Engineering
@SpotifyEng -
Airbnb Engineering
@AirbnbEng -
Pinterest Engineering
@PinterestEng -
Uber Engineering
@UberEng -
Engineering at Meta
@fb_engineering -
Slack Engineering
@SlackEng -
#DataAISummit
@Data_AI_Summit -
Apache - The ASF
@TheASF -
Reynold Xin
@rxin -
Apache Kafka
@apachekafka -
Kubeflow
@kubeflow -
DoorDash Engineering Blog
@DoorDashEng -
niyazi koyuncu
@niyazikoyuncu -
Russ
@Russ197 -
Pat Kua
@patkua
Something went wrong.
Something went wrong.