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Module 4: Kafka Architecture (Deep Dive)

45 minutes2 examplesIntermediate

Hands-on Examples

Interactive examples to reinforce your learning

Complete Kafka Architecture Diagram

Detailed visualization of Kafka components and their interactions

Code Example
# Complete Kafka Architecture

## Cluster Overview:
┌─────────────────────────────────────────────────────────────┐
│                    Kafka Cluster                           │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Broker 1  │  │   Broker 2  │  │   Broker 3  │        │
│  │             │  │             │  │             │        │
│  │ Topic A     │  │ Topic A     │  │ Topic A     │        │
│  │ Partition 0 │  │ Partition 1 │  │ Partition 2 │        │
│  │ (Leader)    │  │ (Leader)    │  │ (Leader)    │        │
│  │             │  │             │  │             │        │
│  │ Topic B     │  │ Topic B     │  │ Topic B     │        │
│  │ Partition 0 │  │ Partition 1 │  │ Partition 2 │        │
│  │ (Follower)  │  │ (Follower)  │  │ (Follower)  │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
└─────────────────────────────────────────────────────────────┘
                              │
                              │
┌─────────────────────────────────────────────────────────────┐
│                    Client Layer                             │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │  Producer   │  │  Consumer   │  │  Consumer    │        │
│  │             │  │   Group A   │  │   Group B    │        │
│  │ Batch Size  │  │             │  │             │        │
│  │ Compression │  │ Partition 0 │  │ Partition 1 │        │
│  │ Acks=all    │  │ Partition 1 │  │ Partition 2 │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
└─────────────────────────────────────────────────────────────┘

## Data Flow:
1. Producer sends message to topic
2. Broker determines partition (hash(key) % partitions)
3. Message written to partition log
4. Replicated to follower brokers
5. Acknowledgment sent to producer
6. Consumer fetches from partition
7. Offset committed to broker

## Replication Details:
- Replication Factor: 3
- Min In-Sync Replicas: 2
- Leader handles all read/write
- Followers replicate leader data
- Controller manages leader election

Expected Output:

Kafka's distributed architecture ensures high availability, fault tolerance, and linear scalability.

Explanation:

This architecture diagram shows how Kafka components work together to provide a robust, scalable messaging system.

Course Navigation

1
Module 1: Introduction to Kafka
2
Module 2: The Problem Statement
3
Module 3: How Kafka Solves the Problem
4
Module 4: Kafka Architecture (Deep Dive)
5
Module 5: Consumer Groups in Kafka
6
Module 6: Kafka Setup & Hands-On
7
Module 7: Kafka with Python
8
Module 8: Kafka Monitoring & Optimization
9
Module 9: Final Project - Real-Time Analytics Platform

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