Tuning Kafka for low latency guaranteed messaging -- Jiangjie (Becket) Qin (LinkedIn), 6/15/16

From the Stream Processing Meetup @ LinkedIn - June 15 2016
Tuning Kafka for low latency guaranteed messaging, Jiangjie (Becket) Qin (LinkedIn)
Kafka is well known for high throughput ingestion. However, to get the best latency characteristics without compromising on throughput and durability, we need to tune Kafka. We will share our experiences to achieve the optimal combination of latency, throughput and durability for different scenarios.
Bio: Jiangjie (Becket) Qin is from Distributed Data System team at LinkedIn. He has been working on open source project Apache Kafka. Jiangjie graduated from CMU with Master's degree in Information Networking from INI in 2014. Before that, he worked in IBM for four years, where he managed IBM zSeries platform for banking clients.
For more information, visit the Stream processing Meetup group at at www.meetup.com/Stream-Processi...
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[@hareepjoshi]

I have been watching all of Jiangjie's videos and I'm happy I found them here. Thank you.

[@drakezen]

Good talk, still very informative and relevant. Thanks!

[@DagangWei]

Informative and clear, thanks!

[@rafewang4819]

very practical ！

[@TheS1ot]

Very deep zoom in, thanks :)

[@Khanna_Vijay]

Nice session. Thank you very much for the efforts to structure and share your knowledge.

[@rfyiamcool4878]

good !!!

[@w0406400]

I am not sure why only 87 votes :). Very nice presentation Qin...

[@sajjadvalaei2535]

That was very useful