Edge Computing¶
Platforms and tools for deploying and managing applications at the network edge, closer to end users and data sources.
| Name | Description | Link |
|---|---|---|
| AWS Wavelength | 5G edge computing service that brings AWS services to the edge of telecommunications networks. | AWS Wavelength |
| AWS Local Zones | Infrastructure deployments that place AWS compute, storage, and database services closer to end users. | AWS Local Zones |
| Azure Edge Zones | Microsoft's edge computing solution bringing Azure services closer to users and devices. | Azure Edge Zones |
| Google Distributed Cloud Edge | Google Cloud infrastructure deployed at the edge for low-latency applications. | Distributed Cloud Edge |
| AWS IoT Greengrass | Edge computing service for IoT devices to run AWS Lambda functions locally. | AWS IoT Greengrass |
| Azure IoT Edge | Service that deploys cloud workloads to run on Internet of Things edge devices. | Azure IoT Edge |
| K3s | Lightweight Kubernetes distribution designed for edge computing and resource-constrained environments. | K3s |
| OpenYurt | Kubernetes-based platform for edge computing scenarios with cloud-native approach. | OpenYurt |
Edge Computing Benefits¶
Performance¶
- Reduced latency - Process data closer to users
- Improved response times - Faster application performance
- Real-time processing - Enable real-time analytics and decisions
- Bandwidth optimization - Reduce data transfer to cloud
Reliability¶
- Offline operation - Continue working without cloud connectivity
- Fault tolerance - Distributed processing reduces single points of failure
- Local redundancy - Multiple edge nodes for high availability
- Network resilience - Less dependent on network connectivity
Cost Efficiency¶
- Reduced bandwidth costs - Less data transfer to cloud
- Optimized resource usage - Process data where it's generated
- Lower cloud costs - Reduce cloud compute and storage needs
- Efficient scaling - Scale processing closer to demand
Have any suggestions, additions, best-practices or references? Please contribute to help others learn!