Ultimate Job Ready codeCast #4 | We built a Event driven Microservices using Kafka and Java

*** Repository for Robust Kafka setup:

***Backend repo:

***Frontend repo:

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Several months ago i started a series 'Coding my own tech startup' but i had to stop the series then in india but now i am going to restart the series in Japan.

In this video Me and Anurag going to explain that how a event driven system works and how to build an system like this. In real world situation there are a lot of use cases for event driven system. we built it in Java and kafka and kotlin too. You can learn a lot in this video and can use the code.

Thank you for watching.

License: The Music i used in this video just for an educational purpose of making tutorials.

#youtube #startup #tech #business #shorts #digitalindia #golang #nextjs #firebase #linear #project #projectmanagement #softwaretools #reactjs #nextjs #frontend #realtimebackend #websockets #java #distributedsystems #redis

[chinmayanand]

My Udemy course to build a gRPC distributed server which can handle upto 100k gRPC client connections.
100K Realtime gRPC streams Distributed Server: Java/Kotlin

[shuvo-kvz]

- Have you ever faced any backpress and how did you handle it?
- What the default Ack mode in spring boot Kafka ? As per my knowledg its 'auto' for any kafka, I would like to know how you handle the ack mode in production and what ack moode you use in prod or keep the ack mode to 'auto'?
- How do you handle the redelivery in Kafka?
- How you setup kafka for error handling dose as per I know it requeues the message, but how you handle it in production?
- If you push that data to dead letter queue, how do you handle it? And what happens if the dead letter queue is full? And what you do with the dead letter queue message? (P.S. Talking about production)