Our CNN-IBN Microsoft Election Analytics Center, which you can see the live visualisations, has served over 7 million requests in the last 8 hours..
This includes real-time filtering of the election commission results – based on turnouts, margins, computations of anti-incumbency factors, alliance groupings, etc.
The data resides in an SQL Server hosted on a Windows Server at CNN-IBN’s office at Noida. This data is fed real-time into the Gramener visualisation server, running on an Azure virtual machine at Singapore.
This is one of the largest real-time visualisations that we (and perhaps many others) have attempted. Yet all of these computations were handled by a single 4-core 7GB RAM server running 4 instances of the Gramener visualisation server. (For comparison, this blog post is written on an 8-core 8GB RAM laptop.)
This system saw a peak load of 450 requests per second and average load of 260 requests per second. For comparison, Wikipedia serves about 100-200 requests per second on each server. Twitter serves 600 requests per second.
A big thank you to all of you who visited our site. We’re happy and proud.
In today’s fast-paced world of e-commerce and supply chain logistics, warehouses are more than just… Read More
What does it mean to redefine the future of manufacturing with AI? At the heart… Read More
In 2022, Americans spent USD 4.5 trillion on healthcare or USD 13,493 per person, a… Read More
In the rush to adopt generative AI, companies are encountering an unforeseen obstacle: skyrocketing computing… Read More
AI in Manufacturing: Drastically Boosting Quality Control Imagine the factory floors are active with precision… Read More
Did you know the smart factory market is expected to grow significantly over the next… Read More
This website uses cookies.
Leave a Comment