Partition Count Strategy
📖 Scenario: You are setting up a Kafka topic for a small online store. You want to decide how many partitions the topic should have to handle the store's order messages efficiently.
🎯 Goal: Build a simple program that sets the number of partitions for a Kafka topic based on the number of expected orders per second.
📋 What You'll Learn
Create a variable with the expected number of orders per second
Create a variable for the maximum orders per partition per second
Calculate the number of partitions needed using integer division and rounding up
Print the number of partitions
💡 Why This Matters
🌍 Real World
Kafka topics use partitions to spread data load. Knowing how many partitions to create helps keep your system fast and reliable.
💼 Career
Understanding partition count strategy is important for roles like data engineers and backend developers working with Kafka.
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