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IoT Microservices at the
Edge with Eclipse ioFog
Fog Computing
Fog Computing
Run code in a physical space, but
still control it like it’s the cloud
Why Fog Computing?
• No other way to connect devices
• Low latency
• No fees on the edge
• Fully owned deployments
• Hardware appropriate for use case
• Prevent the tidal wave of traffic
• Data normalization
• Real-time analytics
• Privacy and security
Fog Computing Use Cases
• Connect legacy devices and systems
• Add Bluetooth devices
• Keep data on premise
• Real-time analytics
ioFog – Overview
• Installs on Linux today, more tomorrow
• Fully distributed
• Runs on commodity hardware
– 1GB of RAM
– 5GB of free disk space for containers
– 64-bit processor
ioFog – Developer Services
• High performance message bus
– REST version
– Websocket version
• Config delivered at runtime
• Remote debugging
• Common logging
• Remote data viewing
• Bluetooth REST API (RestBlue)
Microservices – Why?
• Reusable and shareable
• Can run on any ioFog instance
• Code comes with needed libraries, etc.
• Good separation of logic
• Configured at runtime (SSL certs, etc.)
• Write in any language
Microservices – How?
• Containerize using Docker
• ioFog resources available to all containers
• Message bus allows inter-container talk
• Fog Controller allows dynamic loading
IoT Microservices at the Edge with Eclipse ioFog

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IoT Microservices at the Edge with Eclipse ioFog

  • 1. IoT Microservices at the Edge with Eclipse ioFog
  • 3. Fog Computing Run code in a physical space, but still control it like it’s the cloud
  • 4. Why Fog Computing? • No other way to connect devices • Low latency • No fees on the edge • Fully owned deployments • Hardware appropriate for use case • Prevent the tidal wave of traffic • Data normalization • Real-time analytics • Privacy and security
  • 5. Fog Computing Use Cases • Connect legacy devices and systems • Add Bluetooth devices • Keep data on premise • Real-time analytics
  • 6. ioFog – Overview • Installs on Linux today, more tomorrow • Fully distributed • Runs on commodity hardware – 1GB of RAM – 5GB of free disk space for containers – 64-bit processor
  • 7. ioFog – Developer Services • High performance message bus – REST version – Websocket version • Config delivered at runtime • Remote debugging • Common logging • Remote data viewing • Bluetooth REST API (RestBlue)
  • 8. Microservices – Why? • Reusable and shareable • Can run on any ioFog instance • Code comes with needed libraries, etc. • Good separation of logic • Configured at runtime (SSL certs, etc.) • Write in any language
  • 9. Microservices – How? • Containerize using Docker • ioFog resources available to all containers • Message bus allows inter-container talk • Fog Controller allows dynamic loading