Case Study: MachineMetrics unlocks real-time industrial IoT innovation with Synadia NATS

A Synadia Case Study

Preview of the MachineMetrics Case Study

MachineMetrics powers 1 kHz edge data processing with Synadia

MachineMetrics, a leader in the Industrial IoT space, faced challenges scaling their platform to efficiently collect and process high-frequency machine data from thousands of machines across hundreds of factory floors. Their edge devices had limited resources, and unreliable factory connectivity made traditional cloud-centric tools like Amazon Kinesis unsuitable. They partnered with Synadia to implement NATS.io as a new data transport layer to address these issues.

By implementing Synadia's NATS.io, MachineMetrics built a flexible messaging backbone that operates seamlessly from the cloud to the edge. The solution provided critical capabilities like Leaf Nodes for connectivity and a decentralized auth model for security. This resulted in enhanced developer productivity, significant operational efficiency compared to tools like Kafka, improved resilience during network outages, and enabled new platform innovations like high-frequency data capture directly on the edge.


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