Scaling and Optimizing the Data Pipeline

Lastly, we’ll focus on scaling and optimizing the Kafka-ELK data pipeline to handle real-world workloads in production environments. This includes strategies for improving performance, ensuring reliability, and adding advanced features such as alerts and enhanced visualizations. By implementing these best practices, you can build a robust and scalable pipeline capable of managing high-throughput data streams.