Build Telemetry Data Pipelines with NATS and Pathway

As an open source technology, The NATS ecosystem is continuously evolving and expanding. Our friends at Pathway recently launched a NATS connector that can be used to power RAG and ETL at scale, in real time.

NATS and Pathway instead of Kafka and Flink

NATS and Pathways make a strong pair. For example: getting real-time telemetry from edge devices or global fleets and running live analysis on the data.

You could use Kafka and Flink, but the cost and complexity often don’t make sense for edge use cases with hundreds or thousands of endpoints emitting data, with potential for intermittent connectivity.

In the era of edge computing, applications must support being deployed on diverse architectures that encompass on-premise, multi-cloud, and edge. Location transparency is also a must. Edge devices and global fleets need application architectures where discovery and connectivity just work, regardless of region or geography.

With its low overhead, flexibility, and resilience, NATS is an ideal fit.

NATS + Pathway reference architecture for real-time alerting on telemetry pipelines

Get hands-on with a step-by-step data pipelines tutorial

With the launch of their NATS connector, Pathway also published a step-by-step tutorial on building a real-time data processing system—including analysis of telemetry and alerting—using NATS and Pathway, instead of Kafka and Flink.

If you’re looking to get hands on with practical code examples for capturing real-time telemetry with NATS, this is a great resource.

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