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requirements.md

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Azure Orbital Space SDK System Requirements

Production

Minimum Requirements for SDK deployment

  • 1.2Ghz, Dual core (x64 / ARM64)
  • 1Gb RAM
  • 3Gb Hard Drive (Initial) / 1.5Gb Hard Drive (Running)
    • (if applicable) GPU Accelerated: +1Gb
  • CIFS Kernel module available
  • (if applicable) GPU Accelerated: Driver deployed (nvidia-smi --list-gpus shows GPU)

Recommended Requirements for SDK Deployment

  • 2Ghz+, Quad core (x64 / ARM64)
  • 2GB+ RAM
  • 3Gb Hard Drive (Initial) / 1.5Gb Hard Drive (Running)
    • (if applicable) GPU Accelerated: +1Gb
  • CIFS Kernel module available
  • (if applicable) GPU Accelerated: Driver deployed (nvidia-smi --list-gpus shows GPU)

Long Term CPU and Memory Usage (30+ Days)

Below is the CPU and Memory statistics of a Virtual Machine running for ~30 days using Azure Orbital Space SDK 0.7.0.

  • Machine Type: x64, Ubuntu 22.04, 4 vcpus @ 3.5Ghz, 32GB RAM.
  • Measurements taken with Azure Monitor and analyzed in Log Analytics with a 2 min average
Service Namespace CPU (cores) Memory (bytes)
HostSvc-Link hostsvc 8m 85Mb
HostSvc-Logging hostsvc 8m 90Mb
HostSvc-Position hostsvc 8m 85Mb
HostSvc-Sensor hostsvc 8m 87Mb
FileServer core 40m 8Mb
Switchboard core 15m 85Mi
Platform-Deployment platformsvc 8m 85Mi
Platform-MTS platformsvc 8m 85Mi

Total:
~105m
(~1/10th of 1 core)
~600Mb

CPU and Memory Metrics for a 30 day run (x64, 4 cores, 2GB Ram)

  • CPU CPU Allocation

  • RAM RAM Allocation

Development Requirements

  • 1.5Ghz+, Quad core+ (x64 / ARM64)
  • 4Gb+ RAM
  • 10Gb Hard Drive
  • CIFS Kernel module available
  • (if applicable) GPU Accelerated: Driver deployed (nvidia-smi --list-gpus shows GPU)
  • Docker v24.0.7+
  • DevContainer Extension v0.338.1+
  • Ubuntu 20.04+