Being able to interpret and mitigate seismic activity in mines can drastically improve safety for workers. However, mines are complex, noisy, and resource constrained environments, leading to suboptimal data. The computing environment can also be challenging with limited bandwidth and lack of modern computing equipment. This talk covers our journey in building a cloud native edge AI stream processing platform to analyze and interpret seismic activity in real time.

We will discuss overcoming the challenges of an industry heavily reliant on proprietary data formats and API’s, and of deploying Kubernetes (and other technologies) in air-gapped and low-resource environments, where cloud native storage goes right (and wrong). We will also demonstrate how we simulated our environment in the cloud and the benefits this brought to our deployment. The audience will walk away with a few nuggets of gold on how we created a real time decision making platform ready for the Gobi desert.