Kafka in 3 Hours | System Design | Kafka vs Message Queue | Topic, Partition, Consumer Explained

In this complete Kafka System Design deep dive, we cover everything you need to understand Kafka from basics to advanced level for backend development and system design interviews.

• What is Apache Kafka
• Event Streaming vs Message Queue
• Kafka vs RabbitMQ
• Topics and Partitions explained clearly
• Brokers, Leaders and Followers
• Consumer Groups and Rebalancing
• Offsets and Offset Commit Strategies
• At-most-once, At-least-once, Exactly-once delivery
• Replication and fault tolerance
• How Kafka handles millions of writes
• Backpressure in distributed systems
• Pub-Sub vs Kafka event-driven architecture
• Kafka in Uber architecture
• Kafka in Amazon architecture
• Kafka in YouTube and WhatsApp system design
• When to use Kafka in System Design interviews

video is ideal for:
Backend Developers
Java Developers
System Design Interview Preparation
Distributed Systems Learners
Microservices Architecture Engineers
Event-Driven Architecture Enthusiasts

If you want to master Kafka and understand how large-scale systems like Uber, Amazon, YouTube, and WhatsApp use event streaming, this is the only Kafka video you need.

Timestamps:
00:00 Precap
04:11 Why Kafka is required? Problem Statement
11:50 Synchronous vs Asynchronous Processing in System Design
13:37 Ways to do Async Processing in System Design
28:09 What is Message Queue?
30:30 What is Event Streaming?
35:03 Message Queue vs Event Streaming
43:10 Is Kafka Message Queue or Event Stream?
43:56 What is Kafka?
44:51 What is Topic?
46:28 Is Topic same as Event?
49:05 Partition & Broker in Kafka
01:02:45 Ordering in Partition
01:08:59 Consumer Group on Kafka
1:21:05 Partition in Kafka
1:23:26 Topic vs Partition in Kafka
1:28:53 How to add a Topic in Kafka?
1:35:30 How multiple consumers consume events in Kafka? What is Offset?
1:43:18 Where are Offsets stored? Who stores Offsets?
1:54:12 How do consumers consume events from Kafka?
2:00:18 Broker in Kafka
2:01:35 What is stored in Kafka?
2:09:43 Partition Replication
2:18:24 Leader & Follower Broker in Kafka
2:21:21 Kafka Metadata
2:23:34 Complete end to end Kafka complete flow
2:32:29 Why ordering is guaranteed in a partition but not across partitions?
2:36:20 Can multiple consumers read from same partition?
2:40:50 How many partitions should we choose in beginning while defining topic?
2:45:46 When are events deleted from Kafka?
2:48:27 Offset Commit Strategies? Delivery Guarantees: At-most once, At-least once, Only once
2:57:38 How consumers know event has arrived?
2:58:25 How Kafka handles consumer crash?
3:02:00 Does every event has offset? who assigns offset?
3:06:00 What is Backpressure? How Kafka handles backpressure?
3:09:18 What Kafka does when Topic is created?
3:10:22 How to add consumer group to existing topic?
3:11:20 How Kafka handles huge number of write operations?
3:15:11 Pub-Sub vs Kafka? What is Pub-Sub model?
3:24:15 Why Kafka is not just Pub-Sub?
3:25:10 When to use Kafka & when to use Pub-Sub?
3:28:48 Kafka vs RabbitMQ
3:35:34 Is Kafka Message Queue or Event Stream?
3:39:14 Can partition contain events of multiple topics?
3:41:08 Do we create new partitions for every new topic?
3:43:25 Can a consumer consume from multiple topics?

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#Microservices
#EventDrivenArchitecture
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Kafka System Design Complete Guide | Topics, Partitions, Consumer Groups, Offsets Explained

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