[Solved] You want to auto-scale Kafka partitions based on message lag. Which strategy best fits this goal? — Ans: Increase partitions when lag exceeds threshold; decrease when lag is low | Kafka

Kafka - Kubernetes and Cloud Deployment

You want to auto-scale Kafka partitions based on message lag. Which strategy best fits this goal?

AAdd brokers randomly without monitoring lag

BIncrease partitions when lag exceeds threshold; decrease when lag is low

CScale partitions only based on CPU usage

DManually change partitions daily regardless of lag

Step-by-Step Solution

Solution:

Step 1: Understand message lag as scaling metric
Message lag indicates how many messages are waiting to be processed, a key metric for scaling partitions.
Step 2: Choose strategy matching lag metric
Increasing partitions when lag is high and decreasing when low optimizes processing capacity.
Final Answer:
Increase partitions when lag exceeds threshold; decrease when lag is low -> Option B
Quick Check:
Lag-based scaling = adjust partitions by lag [OK]

Quick Trick: Scale partitions based on lag, not random or CPU only [OK]

Common Mistakes:

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You want to auto-scale Kafka partitions based on message lag. Which strategy best fits this goal?