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Craig Ferris's Projects

cloudfront-secure-media icon cloudfront-secure-media

Referece code for protecting your Amazon CloudFront media distributions with AWS Cognito JWT Token, Lambda@Edge and Video.js

codelyzer icon codelyzer

Codelyzer is a framework that provides interfaces to build and analyze source code in various languages and generates a platform-independent representation as a universal abstract syntax tree (UAST) model or a JSON file.

cognito-at-edge icon cognito-at-edge

Serverless authentication solution to protect your website or Amplify application

cognito-proxy-rest-service icon cognito-proxy-rest-service

Moving the Amazon Cognito functionality down the stack to the backend. Ideal for migration purposes and extremely custom Auth functionality.

comprehend-logging-redact icon comprehend-logging-redact

Sample project to demonstrate how to use AWS SDK for Amazon Comprehend to detect and redact PII data from logs generated by Java applications

content-aggregator-example icon content-aggregator-example

This repository contains all the example code to help you build a content aggregator like serverless land. It is split into 2 components: Part 1: The front-end, an auto-building static website. Part 2: The backend, am automaed content aggregation workflow.

content-analysis-on-aws icon content-analysis-on-aws

This project is a fully automated video search engine which uses AWS AI services for computer vision and speech recognition to catalog video archives.

crossfeed icon crossfeed

External monitoring for organization assets

cset icon cset

Cybersecurity Evaluation Tool

data-lake-storage-standardization icon data-lake-storage-standardization

Sample code showing how to implement the data lake layer standardization to reduce the data management cost and speed up the build phase. We recommend the use of four data layers in a data lake and that each layer uses a separate Amazon Simple Storage Service (Amazon S3) bucket.

data-protection icon data-protection

Workshop and sample code that builders can use for experiential learning of AWS services that provide data protection. Services such as AWS KMS, AWS ACM, AWS CloudHSM and others will be explored

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