It's probably worth mentioning that messaging systems (like Kafka) don't just do message transportation - they also provide buffering so that producers and consumers don't have to operate synchronously.
This is the vital part, that was 50k oveview on usage but underlying functionality like topics, producer consumer , queing ,de-queing should be explained as well coz thats the beauty of kafka
Starting off with the slide that says "simple at first" is an accurate assessment of Kafka as well... Beware of message formats. Usually the one you use first will stick around forever. Also, leader for each partition is responsible for all reads and writes. The higher the replication factor for a topic, the greater the load on the leaders.
Thorough Notes Apache Kafka is a solution to the problem of managing and processing streams of data in real-time. Kafka was created by LinkedIn and is now an open-source project maintained by Confluence, under the Apache stewardship. Kafka is a distributed, resilient, and fault-tolerant system that scales horizontally. It can handle clusters with over 100 brokers and can process millions of messages per second. Kafka is used to decouple data streams and systems. Source systems send their data to Kafka, and target systems source their data from Kafka. Kafka can handle any data stream, including website events, pricing data, financial transactions, and user interactions. Once the data is in Kafka, it can be sent to any system, such as a database, analytic systems, email system, or audit system. Kafka can be used as a messaging system, for activity tracking, gathering metrics, stream processing, decoupling system dependencies, and big data integrations. Kafka is used by over 2000 firms, including 35% of the Fortune 500. Companies such as LinkedIn, Airbnb, Netflix, Uber, and Walmart use Kafka. Kafka is used in real-time applications. For example, Netflix uses Kafka to apply recommendations in real-time, Uber uses it to compute and forecast demand and surge pricing, and LinkedIn uses it to prevent spam and make better connection recommendations.
Hands-on Kafka in 35 minutes!! Checkout out this video playlist here: th-cam.com/play/PLSMAAT50NTjRqga9HqKdcA0J_I1h6aw_d.html , please do subscribe 😊so that I get motivated and keep giving good content.
I appreciate your effort to create the video, thanks for that, however I really feel an introduction to Kafka could use some more detail. I found the information very high level and vague.
is kafka keeping an address map of all the services? So, if one services wants to send a message to another, it only has to tell the service name. Am I thinking in the right direction?
hi awesome course! I understand Kafka consumers use a pull model to consume data. My question is about connectivity in AWS cloud when the Kafka Consumer is in a separate AWS VPC to the Kafka server . Do we need to configure an inbound or outbound connection to the Kakfa server? thanks for any clarification - Robin
If you want to learn more, check out my Apache Kafka Series - Learn Apache Kafka for Beginners v2 course : links.datacumulus.com/apache-kafka-coupon
kindly request for you kafka install i struggle could you please help me. problem for cmd prompt
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Do you have kafka tutorials for golang ? thanx
Hi stephane do you have kafka tutorials for golang ?
You are an awesome teacher, I cleared my AWS SA02 Associate exam with the help of your course on Udemy!
Did you just refer this udemy tutorial or any additional preparation was needed?
It's probably worth mentioning that messaging systems (like Kafka) don't just do message transportation - they also provide buffering so that producers and consumers don't have to operate synchronously.
This is the vital part, that was 50k oveview on usage but underlying functionality like topics, producer consumer , queing ,de-queing should be explained as well coz thats the beauty of kafka
This is an underrated channel.
Exactly what I was looking for when I searched for "What is Kafka"...thank you!
Starting off with the slide that says "simple at first" is an accurate assessment of Kafka as well...
Beware of message formats. Usually the one you use first will stick around forever.
Also, leader for each partition is responsible for all reads and writes. The higher the replication factor for a topic, the greater the load on the leaders.
Very simply put, probably the easiest to understand explanation on this topic I have encountered yet.
Your courses are the best, helped be get certified a few times on AWS. Thanks Stephane
This is the best course I have ever done on kafka. Short and best
This content never gets old ! Thank Stéphane !
Hats off to you for making such clear and crisp video so that anyone can easily gets a clear picture of Kafka and its use cases....Thanks a lot..!
I'm about to have a 12 days Kafka training. Thank you for sharing this information about Kafka.
Amazing, Precise, Useful video. Adorable work
Super leture, straight forward, direct point
Excellent presentation👍👍👍
A great video, no words to explain how its going to help me. Thanks.
Hey Stephane, I just want to thank you for the AWS SAA-02 course in Udemy. I have bought it and pass the exam.
Congratulations on your achievement! You’ve done great! Keep it going! :)
Great, effective effort here Stephane
thank you so much for a very short explanation . it worked for me.
I became fan of Stephane teaching from Udemy..that helped me gain certification..
This guys' video is so smooth and intuitive. Like it!
Better explanation than I could dream of. Hats off to you sir!
really understandable, easy explanation . i hope not problem to watch and learn from your video.
Excellent way of presenting! So easy to understand with your content in the slide. 👌👌
Thanks! The examples/use cases really helped.
Real short and useful. Thanks
This video is just amazing!! Thank you.
Very crisp and precise introduction for Kafka to start with. Thank you
This was helpful, thanks 🙏
Ur explanation was to the point thanks buddy
cool presentation, thanks. Helps a lot 😊
This is a very good introduction ! Thank You so much for doing this.
Thank you for the neat and informative introduction!
Very simple five minute explanation
Really appreciated the video. Clear, concise, great examples!
great explanation, finally i understood exactly is apache kafka, thanks for your time!
Very clear and to the point video. Thanks a lot Stephane..
Thorough Notes
Apache Kafka is a solution to the problem of managing and processing streams of data in real-time.
Kafka was created by LinkedIn and is now an open-source project maintained by Confluence, under the Apache stewardship.
Kafka is a distributed, resilient, and fault-tolerant system that scales horizontally. It can handle clusters with over 100 brokers and can process millions of messages per second.
Kafka is used to decouple data streams and systems. Source systems send their data to Kafka, and target systems source their data from Kafka.
Kafka can handle any data stream, including website events, pricing data, financial transactions, and user interactions.
Once the data is in Kafka, it can be sent to any system, such as a database, analytic systems, email system, or audit system.
Kafka can be used as a messaging system, for activity tracking, gathering metrics, stream processing, decoupling system dependencies, and big data integrations.
Kafka is used by over 2000 firms, including 35% of the Fortune 500. Companies such as LinkedIn, Airbnb, Netflix, Uber, and Walmart use Kafka.
Kafka is used in real-time applications. For example, Netflix uses Kafka to apply recommendations in real-time, Uber uses it to compute and forecast demand and surge pricing, and LinkedIn uses it to prevent spam and make better connection recommendations.
Stephane you are awesome man....you made it easy.. thanks....!!
That was really a great introduction.
Awesome. Liked and subscribed. Interesting. Keep going. Lots of thanks love and best wishes.
Thank you. It was great video.
Good explanation& good real life examples , Thank you so much
Awesome job, thank you!
Thank you for the intro!
This was AWSOME thank u so much for doing this video 🙏🏻
excellent video. thank you for the great content
For example is the best part. 🔥
great intro to the topic
Thanks Stephane, great video!
Great video man
Thumbs up for this one. Awesome job. Looking forward to more of them.
Awesome video. Thanks buddy 👍
Thank you Stephen for making this simple to understand video. Keep them coming. 🙏👍
Insightful video!
Thanks for presenting this one . I'm really Impressed !
Explained clearly 👍thanks mate!
great video, straight to the result.
Really good presentation. Thanks, Stephane
fantastic explanation over Kafka in such a short time. Thank you so much.
very clear video thank you
Good first introduction
Good and understandable introduction. Gold!!
Thanks Stephane! Very good intro and explanations with real-time examples!
Awesome Explanation
It's very good easy to digest!!!
nice video, clear and nice explained. well done
Hands-on Kafka in 35 minutes!! Checkout out this video playlist here: th-cam.com/play/PLSMAAT50NTjRqga9HqKdcA0J_I1h6aw_d.html , please do subscribe 😊so that I get motivated and keep giving good content.
Wonderful introduction!
Real time is not low latency. Real-time is deterministic latency and processing times.
भौते बढ़ियाँ बता हो दाज़्यू तुमल.. जी राया जागि राया
Very good explanation
Kafka is a beast to manage. I'm sure it's fine to develop against. Buts it's a nightmare for most operation staffs.
Succinctly, right to the point. Thank you Stephane outstanding brief!
Hi. I think it would have been good to mention where kafka queues will be. Ram or disk. Thanks for sharing.
Excellent. Thank you!!
Nice intro, thanks buddy
Thanks u made it easy to understand
Nice video, thank you!
Hi stephane do you have kafka tutorials for golang ?
Quality video. thanks!
good video! thank you
Is Kafka like a data lake where we can dump data from all source systems?
This is a great course.
Hi Stephane the real time recommendations in Netflix witch you gave as example does uses kafka to get those data or is it AI at back-end in Netflix?
Perfect explanation. Thank's a lot sir !
I appreciate your effort to create the video, thanks for that, however I really feel an introduction to Kafka could use some more detail. I found the information very high level and vague.
Good stuff! Thanks.
great short introduction to Kafka!
Great , I have a question in this source systems and target systems to avoid confusion we use Kafka , Can we use ESB instead or integration bus ?
I'm confused are you explaining kafka or trying to sell it to me, because I feel like you're trying to convince me to use it.
I believe he is trying to explain in a more practical way so that we can visualize why anyone should use Kafka if they have a similar use case....
Bhai lena hai to le. Warna mat ley. Bechare ne free me sikhaya, tu kahe bakwaas kar raha hai ?.. that's why I have trust issues. Because of fools like
What s the difference between a distributed messaging system like Kafka and having an API proxy like Apigee please?
is kafka keeping an address map of all the services? So, if one services wants to send a message to another, it only has to tell the service name. Am I thinking in the right direction?
Is his aws sa02 course enough to pass to get aws certification sitll? thank you
I really like your videos, Kafka didn't invent messaging queues though
can you fix your slides, I saw 0:46 you mention http as protocol.
Excellent!
May I ask if it is a good idea to deploy Kafka on Kubernetes in production?
hi awesome course! I understand Kafka consumers use a pull model to consume data. My question is about connectivity in AWS cloud when the Kafka Consumer is in a separate AWS VPC to the Kafka server . Do we need to configure an inbound or outbound connection to the Kakfa server? thanks for any clarification - Robin
Great video. Thanks!
What happens when Apache Kafka becomes the bottleneck?
What I always miss in tutorials is where to not use Kafka and what are the disadvantages, eg. SPOF. What is the difference to a ESB from the 90th?