Implementation Guide

Multi-Cloud Edge Architecture

AWS Outposts Configuration

resource "aws_outposts_site" "edge" {
  name        = "edge-site-001"
  description = "Edge computing location"
  
  tags = {
    Environment = "production"
    Location    = "factory-01"
  }
}

resource "aws_outposts_instance" "edge_compute" {
  instance_type = "c6id.2xlarge"
  outpost_arn   = aws_outposts_site.edge.arn
  
  subnet_id     = aws_subnet.edge.id
  
  tags = {
    Name = "edge-compute-001"
  }
}

Edge Kubernetes Implementation

K3s Edge Cluster

apiVersion: k3d.io/v1alpha4
kind: Simple
metadata:
  name: edge-cluster
servers: 1
agents: 2
options:
  k3s:
    extraArgs:
      - arg: --disable=traefik
        nodeFilters:
          - server:*
      - arg: --kubelet-arg=eviction-hard=memory.available<100Mi
        nodeFilters:
          - agent:*
  kubeAPI:
    hostIP: "0.0.0.0"
    hostPort: "6443"

Edge Data Processing

OpenTelemetry Edge Collection

apiVersion: opentelemetry.io/v1alpha1
kind: OpenTelemetryCollector
metadata:
  name: edge-collector
spec:
  mode: deployment
  config: |
    receivers:
      otlp:
        protocols:
          grpc:
            endpoint: 0.0.0.0:4317
      prometheus:
        config:
          scrape_configs:
            - job_name: 'edge-metrics'
              scrape_interval: 10s
    
    processors:
      batch:
        timeout: 1s
      memory_limiter:
        check_interval: 1s
        limit_mib: 100
    
    exporters:
      awsxray:
        region: 'us-west-2'
      otlp/central:
        endpoint: central-collector:4317
    
    service:
      pipelines:
        traces:
          receivers: [otlp]
          processors: [memory_limiter, batch]
          exporters: [awsxray, otlp/central]

Best Practices

1. Edge Resource Management

   • Local caching

   • Resource limits

   • Bandwidth optimization

   • Offline operation

2. Security Controls

   • Zero trust security

   • Edge encryption

   • Access control

   • Data protection

3. Monitoring

   • Edge metrics

   • Health checks

   • Performance tracking

   • Anomaly detection

4. Deployment Strategy

   • Progressive rollout

   • Canary testing

   • Automated rollback

   • Configuration management