In our tests Docker only lags 5% in performance while paired with HAProxy makes our bidders 50% slower, any clue why ? https://t.co/VQ60T9DlUQ via @reddit
Is @vanilla_rtb stack too slow or those numbers quoted are too high ? Can vanilla-rtb #bidders even compete with @mediamath processing 300 billion #impressions per day? We need do more research to understand how 300 billion requests per day were calculated. https://t.co/CVhRP1Mgb6
@nickhtang@pchalasani We are leading #DSP for #advertisers. Our real-time bidding system receives over 300 billion ad opportunities daily from 70+ ad exchanges + we respond with ML-driven bid decisions within 10 milliseconds. #AIChat
@mediamath@nickhtang@pchalasani Are you sure about 10 millisecond response time did you mean 10 microseconds? 300 billion requests per day will require 35 000 of those 10 millisecond responders. Our open-source bidders respond within 20 microseconds on 4 core CPU, 10 microseconds on 16 core CPU .
@adgear We are probably too late in the game... our team develops software utilizing #cplusplus , #java, #golang , #python and we explicitly work with ad-tech companies to help build most optimized and scalable solutions for real-time bidding . Please get in touch with us for more info.
Dear friends,
Our project #vanilla_rtb https://t.co/xaDuWpNXMf is pending submission to #opencollecitve - we are almost there after having collected 95 GitHub stars we'll be included when we reach 100.
Thanks to enormous support…https://t.co/SGVWxTUePa https://t.co/7DH5o2PF3A
Thank you @opencollect for support of #OpenSource community. Together we are building better software and stronger teams. Special thanks to @piamancini for helping us grow. Please follow @vanilla_rtb for news and updates , #OpenCollective your support is so much appreciated! https://t.co/oraUSwinTw