CloudFront Extensions GitHub project offers an open source package consisting of a set of applications and solution templates that covers various user scenarios for using Lambda@Edge and Amazon CloudFront.
Ultimately, we want to provide out-of-box experience from three dimensions
- One stop to find Lambda@Edge and CloudFront Function scripts for various use cases
This project offers production level Lambda@Edge scripts for common CloudFront use cases, such as Redirect, Header Rewriting, Authentication, Pre-warm etc. The solution aims to optimize the user experience of CloudFront configuration in global regions (where Lambda@Edge and CloudFront Function services are available), and help you to simplify global CloudFront configuration via Lambda functions. You can directly deploy them from the workshop.
- One-Click to deploy commonly used CloudFront solutions
This project offers common solutions for using CloudFront. These solutions are provided in form of pre-baked AWS CloudFormation templates. With 1-click, you can have solution launched into your own AWS console.
Name | Description |
---|---|
WAF & Shield Deployment for CloudFront | Prepared templates to quickly launch distribution and pre-configured rules, such as AWS managed common rules, whitelist, blacklist, HTTP flood, SQL injection, XSS, Bad bot, etc. |
- Out-of-box experience when integrating with external monitoring system
This project also provides out-of-box monitoring solution to enhance the overall observability and simplify the integration of CloudFront and customers’ existing monitoring system.
Name | Description |
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CloudFront Monitoring API | CloudFront Extensions provides a monitoring API, it obtains metrics such as cache hit rate and download rate by analyzing CloudFront real-time logs, and outputs them through Restful API. |
To get started, please find more details at: https://awslabs.github.io/aws-cloudfront-extensions/
For workshop, please refer to https://awslabs.github.io/aws-cloudfront-extensions/workshop/
See CONTRIBUTING for more information.
This project is licensed under the Apache-2.0 License.