HiveMQ Launches Swarm, a Large-Scale Enterprise IoT Test Platform

By Chantal Polsonetti

Category:
Company and Product News

HiveMQ, a global supplier of enterprise MQTT solutions, announced HiveMQ Swarm, a solution that enables organizations of all sizes to reliably simulate and test large-scale IoT networks. HiveMQ Swarm enables IoT Test Platformenterprises to test the scalability and performance of their IoT deployments, resulting in increased quality and reliability of their system. HiveMQ Swarm also provides global enterprises with a solution to forecast capacity, infrastructure, and financial cost planning prior to putting their IoT system into production.

Autonomous vehicles at rest behave very differently than those navigating the unexpected events they encounter in the real world, be it a highway or a factory floor. Despite these challenges, load and stress testing is an unavoidable reality, as fixing IoT production errors in the field can be incredibly expensive, not to mention that these errors can have potentially catastrophic results on the system itself. As a result, determining system resilience is a mission-critical endeavor.

HiveMQ Swarm was designed specifically to solve the challenges of testing today’s large-scale IoT deployments. Swarm is a distributed platform able to create hundreds of millions of unique network connections that simulate devices, messages, and MQTT topics (a form of addressing that allows MQTT clients to share information), as well as develop reusable scenarios that emulate device behaviors. In addition to a custom data generator to create complex use cases for testing, HiveMQ Swarm is designed to seamlessly integrate with enterprise cloud infrastructure, including public clouds (e.g., AWS, Azure, GCP) and Kubernetes-based systems.

HiveMQ Swarm is complementary to HiveMQ MQTT platform, an MQTT broker messaging platform designed for the fast, efficient and reliable movement of data to and from connected IoT devices. It uses the MQTT protocol for instant, bi-directional push of data between devices and enterprise systems.

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