EnduroSat, leading provider of software-defined NanoSats and Space services, announced that open source, hybrid cloud and AI technologies from IBM and Red Hat are part of its second mission, which is scheduled to launch to low earth orbit.
An Earth Observation and in-orbit Edge Computing payloads from IBM were integrated on EnduroSat’s software-defined NanoSat and are due to launch from Cape Canaveral, FL. These solutions use a minimal footprint distribution project of Red Hat OpenShift, which is optimized to work directly on edge devices to run containers in space.
EnduroSat is working with IBM to provide developers and students around the globe with a fast and easy way to process space data even before getting it back to the ground. IBM’s project, codenamed “Endurance,” uses IBM’s edge computing in space solution. It is designed to help more people discover the wonders of space, using IBM and Red Hat hybrid cloud technologies. In a hybrid cloud environment, student participants will be able to securely host, access and push code on IBM Cloud, which will connect to EnduroSat’s Digital Mission environment, then a ground station, and ultimately, the NanoSat. The code will be used to access data from various sensors, take pictures, perform calculations, and get the results back to earth.
Through its Shared Satellite Service, EnduroSat aims to provide visionary entrepreneurs, scientists, and technologists easy access to space, helping them to drive innovation at this final frontier. The company`s software-defined NanoSats enable plug & play payload integration and open unique capabilities to fly fast and improve the usage of technology in space.
The IBM team’s project goal for this mission is to help streamline the process for getting school-aged children access to the wonders of space using technology so participating students can interact directly with a CubeSat, a type of NanoSat built in cube form, in Low Earth Orbit.
By running experiments on EnduroSat’s Cube satellite, the IBM team is taking data processing closer to where data is being produced, to get near real-time results. The workload uplink request initiates in IBM Cloud to send code up and receive data back. The project provides not only an opportunity to save bandwidth, but also expedite data processing by sorting images at the “edge” and downloading only the valuable data via IBM Cloud.