Best Practices for Scaling Kafka-Based Workloads

Kafka is a famous technology with a lot of great features and capabilities. This article explains Kafka producer and consumer configurations best practices.

Apache Kafka is known for its ability to process a huge quantity of events in real time. However, to handle millions of events, we need to follow certain best practices while implementing both Kafka producer services and consumer services.

Before start using Kafka in your projects, let's understand when to use Kafka:

• High-volume event streams. When your application/service generates a continuous stream of events like user activity events, website click events, sensor data events, logging events, or stock market updates, Kafka's ability to handle large volumes with low latency is very useful.
• Real-time analytics. Kafka is especially really helpful in building real-time data processing pipelines, where data needs to be processed as soon as it arrives. It allows you to stream data to analytics ...