AI Summary
Key Insights
- The journey of infrastructure evolution from bare metal servers to virtualization, cloud computing, containerization, serverless, and finally, edge computing is explored.
- Edge computing brings computation and data storage closer to the end-user, reducing latency and bandwidth usage and enabling real-time or near-real-time responses.
- Content Delivery Networks (CDNs) are a key component of edge computing, exemplified by solutions like Cloudflare, AWS Cloudfront, and AWS S3.
- AWS Lambda and Lambda@Edge are discussed as serverless compute services that enable code execution at the edge, allowing customization of CDN behavior and enhancing performance.
Edge-ing Out the Competition
- 1. @troysk704, 11/04/2024 Beyond the cloud Edge-ing Out the Competition
- 2. The Infra Journey
- 3. Bare Metal Servers • High performance • Direct control over hardware resources • Limited in flexibility and scalability • Not well utilised
- 4. Virtualization • Multiple virtual servers run on a single physical server • Better resource utilisation and improved scalability • Hypervisors; VMware, Xen and KVM • AWS
- 5. Cloud Computing • Scalable and on-demand access to virtualized resources • Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) • Elasticity, pay-as-you-go pricing, self-service provisioning, and global availability • Application Management remains troublesome
- 6. Containerization • Docker • Applications packaged along with their dependencies • Portability, consistency, and isolation • Server needs to keep running
- 7. Serverless • Code only, no infrastructure • AWS Lambda, Azure Functions, and Google Cloud Functions • No server management, reduced operational overhead, automatic scaling, and pay-per-execution pricing • Still can’t reduce latency on CPU bound tasks
- 8. Edge Computing • Computation and data storage closer to end-user • Reduced latency and bandwidth usage • Real-time or near-real-time responses • CDNs
- 9. CDN • Cloudflare • AWS Cloudfront • AWS S3 Source: https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3- amazon-cloudfront-a-match-made-in-the-cloud/
- 10. AWS Lambda Source: https://aws.amazon.com/blogs/architecture/field-notes-optimizeyour-java-application-for-aws-lambda-with-quarkus/
- 11. AWS Lambda https://aws.amazon.com/blogs/opensource/auto-instrumenting-apython-application-with-an-aws-distro-for-opentelemetry-lambdalayer/
- 12. Lambda@Edge Source: https://aws.amazon.com/blogs/networking-and-content-delivery/adding-http-security-headers-using-lambdaedgeand-amazon-cloudfront/
- 13. Lambda@Edge Source: https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/lambda-examples.html
- 14. Lambda@Edge Containers Everywhere!
- 15. Imgproxy Guide: https://imgproxy.net/blog/almost-free-image-processing-with-imgproxy-and-aws-lambda/ Source: https://imgproxy.net/
- 16. S3 Transfer Acceleration • Uploads to CloudFront Edge Network • AWS Backbone • Reduced latency in uploads
- 17. What’s Next Source: https://www.researchgate.net/figure/WebAssembly-data-flowarchitecture_fig1_373229823
- 18. Thanks!