Pinned Repositories
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
aws-cdk-examples
Example projects using the AWS CDK
aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
aws-serverless-airline-booking
Airline Booking is a sample web application that provides Flight Search, Flight Payment, Flight Booking and Loyalty points including end-to-end testing, GraphQL and CI/CD. This web application was the theme of Build on Serverless Season 2 on AWS Twitch running from April 24th until end of August in 2019.
aws-serverless-workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
aws-workshop-for-kubernetes
AWS Workshop for Kubernetes
ecs-refarch-cloudformation
A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
lambda-refarch-webapp
The Web Application reference architecture is a general-purpose, event-driven, web application back-end that uses AWS Lambda, Amazon API Gateway for its business logic. It also uses Amazon DynamoDB as its database and Amazon Cognito for user management. All static content is hosted using AWS Amplify Console.
serverless-patterns
Serverless patterns. Learn more at the website: https://serverlessland.com/patterns.
AWS Samples's Repositories
aws-samples/aws-sentiment-analysis-mxnet-gluon
This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' using Apache MXNet and the Gluon programming interface.
aws-samples/amazon-sagemaker-container-with-fastai
Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker
aws-samples/aws-securityhub-to-email
Demonstrates sending AWS SecurityHub findings to your email
aws-samples/aws-lex-convo-bot-example
Amazon Lex Conversation Bot Sample.
aws-samples/ecs-cid-sample
In this code provided with the blog, we will demonstrate how to use the draining state to update the AMI used by EC2 instances in your cluster by updating the launch configuration of your auto-scaling group. The process also ensures that the EC2 instances get the tasks drained the tasks launch on new container instance before termination occurs.
aws-samples/serverless-hotdog-detector
This example shows you how to build a serverless hotdog detecting application on AWS using Amazon Rekognition, AWS Lambda, and Amazon API Gateway.
aws-samples/lambda-refarch-image-moderation-chatbot
The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing explicit or suggestive images from channels of popular chat apps using Amazon API Gateway, AWS Lambda, and Amazon Rekognition.
aws-samples/reinvent-2018-social-news-app
Build a social news app.
aws-samples/cookiecutter-aws-sam-dynamodb-python
SAM app that reads and logs DynamoDB events
aws-samples/reinvent2018-srv404-lambda-sagemaker
SRV404 Building Your Own ML Application with AWS Lambda and Amazon SageMaker
aws-samples/building-a-realtime-data-platform-workshop
A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as Kinesis Firehose, AWS Lambda and Amazon Elasticsearch.
aws-samples/aws-reinvent2018-keeping-secrets
Materials for the 2018 re:Invent SEC353 Keeping Secrets chalk talk
aws-samples/amazon-cloudfront-log-analysis
Analyze & Visualize Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience on your website.
aws-samples/route53-autonaming
Route53 samples and reference architectures.
aws-samples/amazon-redshift-query-patterns-and-optimizations
In this workshop you will launch an Amazon Redshift cluster in your AWS account and load sample data ~ 100GB using TPCH dataset. You will learn query patterns that affects Redshift performance and how to optimize them. In this lab we will also provide a framework to simulate workload management (WLM) queue and run concurrent queries in regular interval and measure performance metrics- query throughput, query duration etc. We will also provide some use cases for Redshift spectrum to query data from s3 in columnar format such as Parquet.
aws-samples/aws-reinvent2018-data-protection
Materials for the 2018 re:Invent SEC372 Data Protection in AWS builder session
aws-samples/aws-ml-data-lake-workshop
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.
aws-samples/aws-edge-compute-workshop
AWS Snowball Edge and AWS Greengrass for Fun and Profit - STG388
aws-samples/amazon-pinpoint-event-trigger-demo
Simple demo to register endpoints and generating events to show off the capabilities of Amazon Pinpoints event trigger functionality.
aws-samples/reinvent2018-arc329-builders-workshop
Re:Invent 2018 ARC329 Builder Workshop
aws-samples/amazon-redshift-tiered-storage
Amazon Redshift offers a common query interface against data stored in fast, local storage as well as data from high-capacity, inexpensive storage (S3). This workshop will cover the basics of this tiered storage model and outline the design patterns you can leverage to get the most from large volumes of data. You will build out your own Redshift cluster with multiple data sets to illustrate the trade-offs between the storage systems. By the time you leave, you’ll know how to distribute your data and design your DDL to deliver the best data warehouse for your business.
aws-samples/aws-serverless-stream-ingest-transform-load
In this pattern, data records are ingested and then modified with simple transformations such as field level substitutions and data enrichment from relatively small and static data sets. A Lambda function is invoked by Kinesis Data Firehose as records are received by the delivery stream. the Lambda function then performs a simple processing job and returns the transformed or enriched records back to Kinesis Data Firehose. Firehose then buffers and sends the modified records to the configured destinations. A copy of the source records is saved in S3 as a backup and for future analysis.
aws-samples/aws-service-catalog-portfolio-partition
An AWS Lambda package including two functions to dynamically maintain a security partition around a group of AWS resources which originated in AWS Service Catalog Products of the same Portfolio.
aws-samples/aws-codepipeline-cross-region-continuous-deployment
Cross region continuous deployment pipeline for developing high availability applications using AWS CodePipeline
aws-samples/aws-serverless-appsync-app
This workshop shows you how to build a Web Application that demonstrates how easy it is to create data driven web applications all with no servers. You will build a serverless web application that lets users search for popular tourist destinations. The application will use AWS AppSync and the AWS Serverless platform to provide real-time weather analysis of the indexed destinations.
aws-samples/aws-etl-microservice-redshift-datalake
AWS Lambda based microservice built using AWS Glue API to migrate tables off of Amazon Redshift into AWS (S3) data lake.
aws-samples/sync-buckets-state-machine
A sample AWS Step Functions (SFN) state machine, designed to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket.
aws-samples/aws-rds-snapshot-management
A serverless notification mechanism to manage Amazon RDS manual snapshots for both RDS Instances and Aurora Clusters. The solution manages creatiton of manual snapshot, deletion of old snapshots, and finally send a notification email. Email subscribers are notified with a list of newly created manual snapshots and older deleted snapshots.
aws-samples/aws-concurrent-data-orchestration-pipeline-emr-livy
This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concurrent data pipeline by using Amazon EMR and Apache Livy. This pipeline is orchestrated by Apache Airflow.
aws-samples/aws-medialive-mediapackage-cloudwatch-dashboard
A Python script and CloudFormation template to assist with the creation of CloudWatch Dashboards for AWS Elemental MediaLive to AWS Elemental MediaPackage workflows.