How Uber scaled its Real Time Infrastructure to Trillion events per day

[@markmborg]

Do you still use Siddhi realtime rule engine ?

[@cgdogan]

Good sharing with an itchy sound at the background.

[@EhsanIrshad]

Can we estimate from this how much gps data a particular road is recieving on real time? Need your prophetic remarks thank you

[@rudhisundar]

Thank you, Bhai!!

[@zexli6709]

Sounds like the mic wasn't quite happy there

[@simdeniro]

Impressive architecture...

[@Textras]

Sound issues. But the volume of messages makes sound quality irrelevant.

[@murali1790able]

20:40 Why would proxyClient write to Kafka cluster when you have Kafka Rest proxy for that job? Also as per your explanation both Local Agent and ProxyClient are doing the same job. batching and sending the messages when downstream recovers.. you should have explained with an example..

[@valertube]

Amazing! 👏👏👏

[@saisanthoshiss2558]

You guys know soo much wy don't u create some tutorials in KZbin or udemy to contribute to other associates

[@arunsinghk1]

Had not noticed the sound until halfway after which I read the comments!!

[@5d3d2d]

Haha its hard to unnotice the sound

[@huhu5375]

This video clearly mention what is the architecutre of uber. But did not said how it evolve to trillion event

[@8Trails50]

Yeah, real innovation here. Use the fuck out of kafka. Well done

[@anand_iyer]

Doesn't talk about SSL scaling, caching and how the application picks up the DC. The author keeps saying aye as though it's a pirate movie 😂, like it.

[@attatahir]

do you consider drivers are machine? from these kind of techs humans are not humans anymore....

[@gokukakarot6323]

These talks are so useless, they don't discuss any problems or whatever lead to the use of these techs than the other. anyone can come up with this HLD