Case Study: Tempestive tracks billions of IoT messages and cuts costs with CNCF's Dapr and Kubernetes

A Cloud Native Computing Foundation Case Study

Preview of the Tempestive Case Study

Tempestive uses Dapr and Kubernetes to track billions of messages on IoT devices while reducing costs

Tempestive, a software and consulting company, developed an IoT application called Nuboj. Their challenge was that the previous version was limited in scalability, required expensive resources, and was difficult to maintain, preventing them from efficiently serving customers who needed on-premise solutions. To address this, they worked with the Cloud Native Computing Foundation (CNCF) project Dapr.

The solution involved adopting Dapr and Kubernetes to create a more modular, platform-independent architecture. This shift to a publish/subscribe model allowed for significant cost reduction, easier development, and polyglot programming. The measurable impact for Tempestive included a 50% reduction in operating costs and the ability to handle roughly two billion messages per month from over 80,000 connected devices.


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