Edge Computing Use Cases with Amazon CloudFront
Summary
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Introduction to Edge Computing with Amazon CloudFront
- Explanation of the "edge" in the context of AWS Global Edge Infrastructure and Amazon CloudFront
- Overview of the agenda covering edge compute options, use cases, and best practices
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Edge Compute Options in Amazon CloudFront
- Explanation of the hierarchical design of CloudFront with Edge Locations and Regional Edge Caches
- Introduction to CloudFront Functions and Lambda@Edge as edge compute options
- Details on the event triggers (viewer request, origin request, origin response, viewer response) and how they can be used
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Use Cases for Edge Computing
- Request Preprocessing (e.g., access control, cache key customization, SEO-friendly URLs)
- Response Rendering (e.g., paywall, A/B testing, session stickiness)
- Origin Routing (e.g., advanced origin selection)
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Real-World Edge Computing Use Cases from AppsFire
- Retrieving enhanced user agent information using CloudFront Functions
- Collaborating between AWS WAF and CloudFront Functions for efficient origin selection
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Best Practices for Scaling Edge Computing
- Understanding and managing the service limits for CloudFront Functions and Lambda@Edge
- Techniques to optimize function performance (e.g., use of global variables, regular expressions, key-value store access)
- Strategies to mitigate cold starts for Lambda@Edge functions
The session provided a comprehensive overview of edge computing with Amazon CloudFront, covering the available options, common use cases, and best practices for scaling and optimizing edge computing solutions. The real-world examples from AppsFire demonstrated the practical applications of these technologies and the tangible benefits they can bring to customers.