Event Sourcing Pattern with Kafka
📖 Scenario: You are building a simple event sourcing system using Kafka. Event sourcing means storing all changes as events in order, so you can rebuild the current state anytime by replaying these events.Imagine a bank account where every deposit and withdrawal is an event. We will create events, configure a topic, process events to get the current balance, and finally print the balance.
🎯 Goal: Build a simple Kafka event sourcing example that stores deposit and withdrawal events, processes them to calculate the current balance, and prints the result.
📋 What You'll Learn
Create a list of events with exact deposit and withdrawal amounts
Create a variable for the Kafka topic name
Write a loop to process events and calculate the balance
Print the final balance
💡 Why This Matters
🌍 Real World
Event sourcing is used in banking, e-commerce, and many systems to keep a full history of changes for auditing and rebuilding state.
💼 Career
Understanding event sourcing and Kafka is valuable for backend developers, data engineers, and system architects working with real-time data and distributed systems.
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