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Module 3: How Kafka Solves the Problem
35 minutes2 examplesBeginner
Hands-on Examples
Interactive examples to reinforce your learning
Kafka Message Flow Visualization
Step-by-step visualization of how messages flow through Kafka
Code Example
# Kafka Message Flow Example
## Step 1: Producer Sends Message
Producer Configuration:
- Topic: "user-events"
- Message: {"user_id": 123, "action": "login", "timestamp": "2024-01-15T10:30:00Z"}
- Partition: 0 (or auto-assigned)
## Step 2: Broker Processing
Broker Actions:
1. Receives message from producer
2. Writes to partition 0 of "user-events" topic
3. Replicates to other brokers (if replication > 1)
4. Sends acknowledgment to producer
5. Updates partition metadata
## Step 3: Consumer Processing
Consumer Actions:
1. Subscribes to "user-events" topic
2. Reads from partition 0
3. Processes message
4. Commits offset
5. Continues to next message
## Step 4: Offset Management
Offset Tracking:
- Consumer tracks position in partition
- Can restart from last committed offset
- Enables fault tolerance and replay
## Complete Flow:
Producer → Topic (Partition 0) → Broker → Consumer
   ↓              ↓                ↓         ↓
Message      Persistence      Replication  Processing
   ↓              ↓                ↓         ↓
Ack ←─────────── Disk ←─────────── Replicas  Offset CommitExpected Output:
Kafka ensures reliable message delivery with sub-millisecond latency and fault tolerance through replication.
Explanation:
This flow shows how Kafka handles the complete lifecycle of a message from production to consumption with reliability guarantees.
Course Navigation
1
Module 1: Introduction to Kafka2
Module 2: The Problem Statement3
Module 3: How Kafka Solves the Problem4
Module 4: Kafka Architecture (Deep Dive)5
Module 5: Consumer Groups in Kafka6
Module 6: Kafka Setup & Hands-On7
Module 7: Kafka with Python8
Module 8: Kafka Monitoring & Optimization9
Module 9: Final Project - Real-Time Analytics PlatformYour Progress
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