Apache Kafka® Components & Architecture Detailed Explanation in 15 min | Javatechie
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- Опубліковано 11 чер 2024
- In this Tutorial, we will discuss Apache Kafka Components and its architecture with Internal flow
📚Agenda📚
Producer
Consumer
Broker
Cluster
Topic
Partitions
Offset
Consumer Groups
Zookeeper
#JavaTechie #Kafka
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Nice presentation and understanding about KAFKA
Thank you for starting the Kafka series and I am eagerly waiting for more videos on this topic..🙂🙂👍👍
Excellent, Simplified well Thank you Java Techie
Mega star is back with high voltage Kafka action.. All of us are Waiting here for upcoming videos .. God bless you Basant !!:)
Thanks Raghu . Mega star 🤣 i am planning for this weekend but getting enough time. After March i will actively post as my first spring boot microservice The live course will be complete .
Loved it, thanks for such core details on Kafka.
Finally.... I learnt kafka😊 thanks Basant ❤
Thanks java techie for crisp and clear explanation
This tutorial really very helpful to understand from base architecture and its explained each component as easily understandable. Thank you so much and post more videos.
one of the best explanations, thank you.
Nice work JT - again ! really appreciate these. Perfect
Thanks for such detailed videos. Great job.
Excellent explanation, explaining in simple way with realistic examples
As always, great content brother. Thanks so much.
Very creative and helpful video anyone can understand.
I went through many articles and videos, and I was very confused, and my thought was Kafka is very big and very vast. But by watching this video I am full cleared on Kafka concepts.
Top-notch Explanation. Loved It.
Thanks again for next part 👏...
Excellent sir i was crying 😢 earlier thinking that it would be difficult topic...how easily you explained thanks a lot for this video....
Thanks punya . Keep learning 😃
Yes.... they way explanation with real time examples is awesome and easily understandable..
Me too
Very well explained and I worked on Solace it’s also same as like Kafka
Awesome! Thanks for sharing. 👍
Great session with presentation 👏
Thanks ..very good playlist
Great video. Thank you.
amazing explainations and presentation
Tech, you touch, it becomes interesting❤️
Most awaited videos sir 😍
Bro you are the most understandeble Indian tech guy on the world:) !
Thank you so much buddy for your word 🥰. Keep learning
Excellent explanation 👌
Great quality content 👍
Great and clean explanation bro
I am a big fan of you buddy ❤The way you explain with example even a fresh mind will be expert of the topic . Kudos to you.
Thank you so much buddy 😊. Keep learning
Really great 👍
Great explanation sir 👍
very informative video ,good job👍👍
Great efforts
As usual default like to your videos from me always, keep going
very nice explaination brother.
Superb Brother 👍🏻👍🏻👍🏻👍🏻
Hi Basant, after this Kafka series could you please create knowledge sessions on SPARK. And integrating kafka with spark using spring boot by creating a data pipeline. thanks
Waiting for it.. thanks sir
Thank you so much
Super explanation
Thnks for sharing
Awesome
thank you sir
Thank you❤
thanks for sharing the kafka series , could you please share or create knowledge on DLQ . dead letter queue implementation in spring boot
Yes i will
Easy and strong explained as usual thanks a lot man keep go on :)
Thanks❤🌹🙏
Could you please frequently upload the videos for this series
Comment for support your work
Thanks buddy
Please cover all the components in upcoming videos by practical
Quick question : if there are two systems or application who is working as consumer and producer , how consumer knows that they need to create multiple consumer for consuming from multiple kafka partitions ? how to specify those in real world projects when desiging kafka clusters ? Can you please make a video on designing kafka clusters ?
How many consumer group needs to be created that totally depends on requirements of consumer application.let a scinario we have kafka topic and consumer application wants to get all the messages in all env then they create 3 consumer group .
We have right to send the msg on which partition as i have read from kafka. In case you doesn't specify it will works as round robin. Please make the note of this. Thank you for video
Yes absolutely correct. It's in my queue and will upload soon
Suppose,there is a topic which has 5 partitions and one partition's broker dies,in that case,there will be data loss and that why we use replication factor which keeps back up on each partition on other broker
Java Techie, I love your videos. When is your next video? I am eagerly waiting.
Afun thanks for your interest. Occupied with lots of work so please expect a bit of a delay on the Kafka series
@@Javatechie Thanks for the response and all the best.
I have created both producer and consumer applications, but I am unable to start the zookeeper in windows.. Any inputs?
Thank you for the information. When the next video will come.
In the coming days i will upload . Most probably before coming weekend
PLEASE DO THE VIDEO ON REACTIVE KAFKA FOR PUB AND SUB
Hi Basant, if possible can you make a video on how consumer is related to offset commit. Kindly explain the auto and manual commit. Thank you in advance.
Sure buddy it's a good point to discuss. Thanks
Hi Basant..here you have considered employee and payment topic separately..what if we want payment information of an employee...are we going to create new topic(having emp-payment) info and emp-payment table also?
It depends on your business to decide the payload structure per topic . To simplify the purpose of the topic i have explained this scenario
Query: 13:17" videos shows figure of multiple partitions within a topic and messages in it. Here squence number are specific to partition or topic ?
To partition
When will Kafka stream start ..?
Neha will go from beginner level step by step it will take time to reach on stream part
@@Javatechie okay sir I will eagerly waiting for your videos I hope they will upload soon
Is Kafka Topic like RabbitMQ Queue??
@javatechie I have one confusion. Does all the partitions under one topic have the same messages or does each partition have different messages. If the same messages then a storage issue will come and if different messages then if partition goes down or corrupts we will lose the message
No message won't be duplicated across partition
Bro make video where we have to re trigger event in case where consumer logic doesn't get executed
Also talk about idempotency. Example In my ecommerce project rewards are getting deducted twice for customer because consumer logic is getting executed twice
Will thank you👍👍
Santosh will go from the beginning don't worry
@@Javatechie thanks bro i love your videos
I know you like to do challenging things too 🙌🙌
How Kafka will relate with mainframe and MQ?
we can divide it into several partitions
My question is suppose we divide a topic into 6 partitions can we have 3 partitions in one computer and another 3 in one computer like that
The entire partition needs to be part of one computer We can't be segregated with partition but yes you can segregate brokers
What will happen if we have 3-partition but 2-consumer in the consumer group ?
1 consumer instance will read from 2 partition
When will the next session come out?
Trying for this weekend buddy
thoda jaldi jaldi videos upload karo please
When can we have the next videos?
This week 100% i will upload 2 videos on Kafka
the zookeeper is not part of the Kafka anymore
Yes
Very creative and helpful video anyone can understand.
I went through many articles and videos, and I was very confused, and my thought was Kafka is very big and very vast. But by watching this video I am full cleared on Kafka concepts.