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Muhammad Zeeshan
Muhammad Zeeshan

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Edge Computing with AWS: From CloudFront to Lambda@Edge Wizardry

Edge computing brings computation closer to users for faster, low-latency applications. AWS powers this with Amazon CloudFront and Lambda@Edge, enabling developers to deliver content and run code at the edge. Here’s a quick dive into how they work and why they’re essential in 2025.

Why AWS for Edge Computing?

  • Global Scale: Over 450 Points of Presence (PoPs) for low-latency delivery.
  • Serverless Power: Lambda@Edge runs code without managing servers.
  • Cost-Effective: Pay only for what you use.
  • Secure & Flexible: Integrates with AWS WAF, IAM, and more.

CloudFront: Fast Content Delivery

CloudFront, AWS’s CDN, caches content like images and videos at edge locations, reducing latency and offloading origin servers. It supports HTTPS, signed URLs, and AWS WAF for security.

Example: Cache a website’s static assets in an S3 bucket to serve users globally with minimal delay.

Lambda@Edge: Code at the Edge

Lambda@Edge runs serverless code at CloudFront’s edge locations, triggered by events like viewer requests or responses. It’s ideal for dynamic tasks like URL rewriting or personalization.

Best Practices

  • Keep Lambda@Edge functions lightweight (under 1-second execution for requests).

  • Monitor with CloudWatch for performance insights.

  • Use AWS WAF and IAM for security.

  • Optimize CloudFront caching with proper TTLs.

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