Infinite Uptime is a global Industrial IoT Solution Provider for Improved Quality, Productivity, Monitoring And Predictive Maintenance In The Engineering And Processing Industries.
Vertically integrated, Infinite Uptime provides its own in-house smart sensor nodes along with connectivity, communication, software, analytics, dashboarding and reporting to provide a complete solution to its customers.
Their devices are capable of measuring high-frequency mechanical vibrations, temperature, and acoustics. The devices are compact and account for productivity optimization and automated predictive maintenance in the industry. The solution SpringML developed helps them capture the devices data in real time, process it and analyze it thereby preventing unplanned downtime, increasing productivity and minimizing breakdown maintenance costs.
“SpringML helped implement a solution based on Kubernetes. The goal of the solution was to provide a scalable application that could be implemented at a rapid pace for customers. SpringML demonstrated their expertise in understanding our data model, integrating it, and analyzing it. What I’ve most appreciated is the quality of communication: understanding needs, providing a plan and schedule, regular, transparent updates.” – JD Margulici, CTO, Infinite Uptime
Infinite Uptime was looking to port various components of their solution stack into an integrated containerized architecture that can be deployed onto any virtual machine cluster across GCP or on-premises.
SpringML recognized the importance of building a robust and flexible solution that can be implemented based on customers’ needs. The solution would need to seamlessly handle large volumes of data, be secure and provide appropriate logging and monitoring controls. SpringML made it possible for Infinite Uptime to integrate device data into NoSQL and RDBMS systems such as MySQL and Redis. SpringML enabled the end-to-end application in Kubernetes, ensuring scalability, improving security, and allowing a multi-tenant architecture.