Microservice architecture to enable fast assessment of the NatCat events based on EO and geospatial data

Fast response to natural catastrophe events is crucial in our fast changing world. Creating comprehensible solutions based on the Earth Observation (EO) and geospatial data is complex and requires combining multiple data sources and maintaining high level of configuration parameters.

In this talk we discuss the application of microservices architecture to tackle some of the issues inherent to building products based on EO and geospatial data. We will present how decomposing sophisticated algorithms into small services can help with continuous delivery, scaling and deployment of large, complex applications that can be reused for various products. This architecture enables reproducibility of analysis which is a crucial component for applying machine learning and automation into any EO based product. We will also address the additional complexity of creating a distributed system as well as high dependency on data consistency and availability.