How to Build a Low-Latency IoT App with ScyllaDB

This tutorial demonstrates how to develop an IoT sensor simulator application that streams data to a ScyllaDB cluster on ScyllaDB Cloud, focusing on achieving low latency. It explains the importance of understanding latency types, including end-to-end and application-specific latencies, and emphasizes the need for optimizing internal database processes to handle real-time data from IoT devices efficiently. The tutorial uses a chocolate factory scenario to illustrate how different latency requirements affect system design, highlighting the balance between data processing speed and system constraints. It describes setting up a NodeJS project to simulate sensor data generation, connecting it to a ScyllaDB Cloud cluster, and running batch queries for efficient data insertion. The approach leverages ScyllaDB's sub-millisecond write capabilities and shard-per-core architecture to improve performance by minimizing intracluster communication.