The on-orbit processing of massive satellite-native data relies on powerful computing power. Satellite computing has started to gain attention, with researchers proposing various algorithms, applications, and simulation testbeds. Unfortunately, a practical platform for deploying satellite computing is currently lacking. As a result, the industry needs to make relentless efforts to achieve this goal. We suggest using cloud-native technology to enhance the computing power of LEO satellites. The first main satellite of the Tiansuan constellation, BUPT-1, is a significant example of a cloud-native satellite. Prior to delving into the details of BUPT-1, we define the essential concepts of cloud-native satellites, i.e., the cloud-native load and cloud-native platform. Afterwards, we present the design scheme of cloud-native satellites, including the architecture of BUPT-1 and the experimental subjects it can support. Two validation tests are shown to reflect the operation and capability of BUPT-1. Besides, we predict possible research fields that could shape the future of satellites in the next decade.

翻译：海量卫星原生数据的在轨处理依赖于强大的计算能力。卫星计算已开始受到关注，研究人员提出了各类算法、应用及仿真测试平台。然而，当前尚缺乏部署卫星计算的实用平台，业界仍需不懈努力以实现这一目标。我们建议采用云原生技术来提升低轨卫星的计算能力。天算星座首颗主星BUPT-1是云原生卫星的重要实例。在详述BUPT-1之前，我们首先定义了云原生卫星的核心概念，即云原生载荷与云原生平台。随后，我们展示了云原生卫星的设计方案，包括BUPT-1的架构及其可支持的实验对象。通过两轮验证测试，反映了BUPT-1的运行状态与能力。此外，我们还预测了未来十年可能塑造卫星发展形态的研究领域。