Build a production-ready edge function execution platform that runs code close to users for low latency. This cookbook demonstrates how to create an edge computing platform using HopX.Documentation Index
Fetch the complete documentation index at: https://docs.hopx.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Edge functions execute code at geographic locations close to users, reducing latency. The platform routes requests to appropriate edge locations, executes functions with resource constraints, and returns results quickly.Prerequisites
- HopX API key (Get one here)
- Python 3.8+ or Node.js 16+
- Understanding of edge computing
- Basic knowledge of request routing
Architecture
Implementation
Step 1: Edge Function Execution
Execute functions at edge locations:Best Practices
- Low Latency: Optimize for fast execution
- Resource Constraints: Use minimal resources at edge
- Geographic Distribution: Deploy to multiple regions
- Request Routing: Route to nearest edge location
Related Cookbooks
- Custom Serverless Platform - Serverless functions
Next Steps
- Implement geolocation-based routing
- Add edge location management
- Create request routing logic
- Implement resource optimization
- Add edge monitoring

