4. How Kafka Works | Apache Kafka Fundamentals

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You are an AMAZING teacher and a presenter.

minakshiloomba
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This was honestly, the best explanation of any technology I've seen on the Internet! Thanks Confluent.

azizthanawala
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Don't do this often, but I got to do it here - my complements to the author's great narration/delivery skills.

edwardgr
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Thanks for a great explanation. This video has definitely answered some of the questions that I had.

vnaydionov
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Great presentation and clear information.
Thank you

solomonfekaduhailu
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This video answered so many questions I had about Kafka. Awesome!

mujkocka
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Beautiful! If nothing else, I'll build a complex piece of architecture, only so "The slide looks easy". :)
Jokes aside, this is really helpful. Thanks a ton for putting this together.

varunmeta
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Fantastic talk, thanks for sharing this with us 👍🏻

JohnDoe-jizv
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Great fundamentals series. I am a network guy moving up to the application layers working with banking eservices and Kafka will be one of the carriage horses in my new team, so I needed this overview. I am glad I found this clear and to the point explanation.

fixxer
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great explanation!, so detailed, a very good course about Kafa fundamentals!

lcvshyou
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Thanks for the very interesting presentation! Just enough to start with Kafka! Are the slides shared publicly? Any link please?

massyz
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Could you please list the documentation sites from confluent web pages in the description as well?

satishkhode
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Hi there!
11:13 Why does topic A and Topic B are inside the producer? I guess, they are on the broker side.

The video is awesome! I can easily understand the material!

suavespade
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Does it make sense to consume a compacted log? It’s not event driven anymore, more like snapshots

giangnamk
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Can we get the links provided at 26:25? cannot click, or copy those links

crajeshwnp
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Thanks for the presentation, i'm starting to learn Kafka, but i have a question about compacted log:

How, based on timestamp, the brokers know exactly what is the last value for the key when you talked about compacted log ?
If there are multiple brokers on multiple datacenters how the clock synchronization between these brokers is done to avoid a more recent event to be override by a old one ?

Chosante
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Since the segments are continually removed from the head of the partition queue, how does the Kafka maintain the correct index offset after a segment expires ?
Here is what I mean: as the segment with 0 offset expires, do the other segments get to keep their indexes, or the segment 1 will become the new head segment with offset 0 ?

sapientum
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8:42, when a broker dies and a new partition elected as the leader, how can we guarantee that no data is lost? Those messages sent to the dead broker but not replicated to its followers yet, are lost, aren't they?

a.j.ltargaryen
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So if we alwas write to and read from LEADER partition why you sai in a previous video that partitioning is a way how scaling worka in Kafka. Its not about scaling, but about durability. In orther words partitioning does not give us increased performance of message number which might be processed per second. Right?

MrRomanvideo
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Consumer Application is POLLING. What is this Polling actually? Connection to Kafka Server, its Client Server Connection? Polling connection thread ever gets expired? Its kind of PULL events/messages?
Please suggest. Thank You.

varungupta