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Satellite mission operations using artificial intelligence on AWS

Public Sector Blog

This article discusses how to build and operate mission operation centers (MOCs) for satellite constellations on AWS, leveraging artificial intelligence (AI) and automation. It covers the key components of MOCs and highlights AWS services that can be used to create scalable, cost-optimized, and resilient architectures.

Specifically, the article covers:

  • Background on MOCs and their subsystems, such as command and control, flight dynamics, mission planning, and payload processing.
  • A cloud-based MOC architecture on AWS, including a data engineering subsystem and orchestration/observability components.
  • Using serverless compute (AWS Lambda) for scalable flight dynamics simulations and calculations.
  • CNTIENT.Optimize, an AI-powered mission planning solution from Cognitive Space that runs on AWS services like Amazon EKS, Amazon RDS, and Amazon ElastiCache.
  • Recommendations for engaging AWS Professional Services and Partners like Cognitive Space to build and optimize cloud-based MOCs.
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