aws-samples

Collection of sample code for Amazon Keyspaces (for Apache Cassandra)

With Amazon Rekognition Custom Labels, you can easily build and deploy Machine Learning (ML) models to identify custom objects which are specific to your business domain in images without requiring advanced ML knowledge. When combined with Amazon Augmented AI (A2I), you can quickly integrate a ML workflow to capture and label images with a human workforce for model training. As ML lifecycle is an iterative and repetitive process, you need to implement an effective workflow that can provide for continuous model training with new data and automated deployment. Your workflow also needs to be flexible enough to allow for changes without requiring development rework as your business objectives change. Operationalizing an effective and flexible workflow can be resource intensive, especially for customers who have limited machine learning capabilities. In this post, we will use AWS Step Functions, AWS Lambda, and AWS System Manager Parameter Store to automate a configurable ML workflow for Rekognition Custom Labels and A2I. We will provide an overview of the solution and instructions to deploy it with AWS CloudFormation.

This repo contains a sample application to show how to build a voice interface for patient outcome reporting (PRO) by leveraging NLP capabilities provided by Amazon Lex and its integration with AWS's cloud contact center offering, Amazon Connect.

The code is this repository accompanies the blog post "Deploy and manage OpenAPI (Swagger) RESTful APIs with the AWS Cloud Development Kit (AWS CDK)"

Exercises AWS ElastiCache for Redis with Cluster Mode Enabled

With this CDK application, you can easily build a simple and customizable game studio on AWS. The default setting covers a build farm, a source code repository, CI tool, workstation, and backups. If long build time, build farm management, and slow response from CI tool suffers you, this project could help to save your time.

This handy workshop help the customers to quickly launch ECS with service mesh support on top of mixed type of instance in all commercial regions (include China), and also provides hands-on tutorials with best practices. It can be customized easily as per need.

A sample rss aggregator application demonstrating the use of Cohere Embeddings

This repository contains a basic livestream to video on-demand web application. The app is built on Amazon IVS and uses the Auto-record to S3 feature to automatically record streams. Recorded streams are played back using the Amazon IVS Player SDK.

Sample repository for secret replication from third-party secrets manager to AWS Secrets Manager

AWS CDK to create a CloudFront distribution with a request Lambda to allow single use signed URL file downloads. Each file is tracked by an identifier which is stored in a DynamoDB database. Each request will check the identifier against values stored in the database. If the identifier is found the file process continues and the files is received, the id is then removed from the database. If the identifier is not found the system will perform a 302 redirect to a specified URL.

Serverless GIF generator. For more serverless learning resources, visit https://serverlessland.com/.

AWS CloudFormation and SAM templates for machine learning inference with AWS Lambda.

The objective of this code is to remove as many difficulties as possible when trying to deploy canaries with terraform.

This is a fully-serverless real-time chat example using API Gateway, Lambda and DynamoDB. Messages from one client are broadcast to all other connected clients via WebSockets.

A demo iPhone application intended as an educational tool for demonstrating how Amazon IVS can be used to build a compelling customer experience for eCommerce use-cases.

A demo that shows how to implement a serverless nodejs application that supports a collaborative live streaming, or multi-host experience using Amazon IVS.

Demo application on how to create a serverless realtime analytics application using Kinesis Data Streams, Kinesis Firehose, DynamoDB and Lambda, using Cognito to secure the App.

Build Unity mobile apps on AWS

CDK Construct library to create Lambda layer with Powertools for Python library.

How to use AWS IoT Greengrass V2 for Image classification and Video Analytics Pipelines

This application "listens" for a ticket creation event from Zendesk, analyses the ticket for negative sentiment, tags the ticket accordingly and invokes an automated workflow (Step function) that escalates the ticket's priority according to your SLA wait times.

Deep Learning inference with AWS Lambda and Amazon EFS

This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon Elasticsearch service

Example to protect caches on CloudFront using signed cookie

The proposed solution shows and approach to unify and centralize logs across different compute platforms like EC2, ECS, EKS and Lambda with Kinesis Data Firehose using log collection agents (EC2 Kinesis agent), log routers (Fluentbit and Firelens) and lambda extension. We can easily deploy the solution presented here on the customer site using the CDK scripts packaged part of this article. Amazon managed Elastic search with Kibana is used to visualize the logs collected across different applications running on different compute platforms.

A sample solution for converting CloudFront Real-time log records into time-series metrics for monitoring.

Implement backup and recovery with AWS Backup across your AWS Organizations using a CI/CD pipeline (AWS CodePipeline).