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From Likes to Views: How Big Tech Scales Counting with Sharded Counters & Kafka

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Manage episode 479904648 series 3602386
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

From Likes to Views: How Big Tech Scales Counting with Sharded Counters & Kafka

https://knowledge.businesscompassllc.com/from-likes-to-views-how-big-tech-scales-counting-with-sharded-counters-kafka/

Have you ever wondered how social media platforms handle millions of likes and views in real-time? 🤔 In today’s digital landscape, where every click, like, and view matters, big tech companies face an enormous challenge: counting at an unprecedented scale. The sheer volume of interactions happening every second across platforms like Facebook, YouTube, and Twitter is mind-boggling. But how do they manage to keep track of it all without crashing their systems?

  continue reading

110 episodes

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iconShare
 
Manage episode 479904648 series 3602386
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

From Likes to Views: How Big Tech Scales Counting with Sharded Counters & Kafka

https://knowledge.businesscompassllc.com/from-likes-to-views-how-big-tech-scales-counting-with-sharded-counters-kafka/

Have you ever wondered how social media platforms handle millions of likes and views in real-time? 🤔 In today’s digital landscape, where every click, like, and view matters, big tech companies face an enormous challenge: counting at an unprecedented scale. The sheer volume of interactions happening every second across platforms like Facebook, YouTube, and Twitter is mind-boggling. But how do they manage to keep track of it all without crashing their systems?

  continue reading

110 episodes

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