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As satellite remote sensing industry enters big data era, traditional data processing platforms are gradually difficult to meet the rapid increase of satellite remote sensing data. It also requires better performance of the system on dynamic resource scheduling，maintenance，extendibility and deployment，etc．These features happen to be the advantages of the open source framework Kubernetes. Therefore, a Kubenetes based container cloud-platform of satellite remote sensing data was developed, spreading an individual business system into multiple independent running services into mutual isolation containers. The platform realizes the scheduling and management of application service container, rapid deployment and migration, and improves the resource utilization and operation and maintenance efficiency. Besides, this article analyzes the prospects and difficulties of container applications combined the feature of satellite remote sensing industry.