Augury: Insights into Industrial IoT Time-Series Data

Augury, a leader in machine health automation, leverages Industrial Internet of Things (IIoT) technology to provide real-time insights into the condition of industrial machinery, helping prevent downtime and optimize equipment usage. Since its inception in 2011, Augury has expanded globally and formed partnerships with companies like Grundfos to enhance infrastructure safety. The company transitioned from MongoDB to ScyllaDB to better manage its high-volume, multi-dimensional time-series data and facilitate machine learning applications. This switch enabled Augury to streamline data ingestion, processing, and analytics, supporting both real-time and batch processing needs while minimizing operational overhead. Their system includes a machine trend dashboard for immediate data visualization, allowing clients to make informed decisions based on machine health trends. As Augury continues to grow, it is shifting from a microservices architecture to a data pipelining approach with tools like Apache Beam, enhancing its ability to handle increased data flow and complex analytics tasks.