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aws-step-functions-business-rules-orchestration

aws-step-functions-callback-example

aws-step-functions-craps-workshop

aws-step-functions-ebs-snapshot-mgmt

Example architecture for integrating AWS Step Functions and Amazon CloudWatch Events.

aws-step-functions-etl-pipeline-pattern

aws-step-functions-image-catalog-blog

Serverless image cataloging pipeline using AWS Step Functions Workflow Studio

aws-step-functions-kendra-web-crawler-search-engine

This sample aims to demonstrate how to create a serverless web crawler and search engine, using AWS Lambda, AWS Step Functions, and Amazon Kendra

aws-step-functions-long-lived-transactions

Deal with the complexities of dealing with a long lived transaction across distributed components in your microservices architecture using AWS Step Functions.

aws-step-functions-notification-workflow

aws-step-functions-plagiarism-demo-dotnetcore

A simple workflow for developing AWS Step Functions to demonstrate how you can combine AWS Step Functions with AWS Lambda using .NET 6 and the Serverless Application Model (SAM), and expose your workflow via an API Gateway!

aws-step-functions-rpa

aws-step-functions-saga-pattern-with-sam

aws-step-functions-sports-data-polling

aws-step-functions-twitch-series

Code from the AWS Step Functions series on Twitch, where we take a deep dive into one of my favorite serverless services!

aws-step-functions-using-it-automation

aws-step-functions-waitable-pattern

This projects contains source code with an example of how to implement an AWS Step Function waitable pattern that you can deploy using the SAM CLI.

aws-stepfunction-cicd-pipeline-example

This repository contains an example of creating a pipeline to deploy an AWS Step Function State Machine.

aws-stepfunction-complex-orchestrator-app

aws-stepfunction-sagemakerprocessingjob-deploynotebooks

Jupyter notebooks are widely used by Datascientists for their data transformation workloads. There are scenarios where the notebook needs to be scheduled and run in regular interval and they need to be productionize. This repo provides a framework for the Datascientists to productionize their workloads dynamically (based on the notebooks) using AWS Stepfunctions with Service Integration to Sagemaker Processing Job.

aws-stepfunctions-aurora-clone

The goal of this project is to create an Aurora Clone using AWS StepFunctions so you can call it using an Amazon EventBridge Rule or from your CI/CD Pipeline.

aws-stepfunctions-automl-workflow

This repository shows how to use AWS step functions to train and deploy Autogluon tabular models on Amazon SageMaker

aws-stepfunctions-byoc-mlops-using-data-science-sdk

Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK

aws-stepfunctions-choreography-monitoring

aws-stepfunctions-data-processing-pipeline

aws-stepfunctions-ecs-fargate-process

aws-stepfunctions-eks-datasciencesdk-etl

The sample code provides the details of creating StepFunctions workflow statemachines with EKS for orchestration of ETL notebook execution. The notebooks are executed in a container in EKS.

aws-stepfunctions-eks-fargate-process

aws-stepfunctions-examples

AWS Step Functions is an orchestration service for reliably executing multi-step processes using visual workflows. This repository includes detailed examples that will help you unlock the power of serverless workflow.

aws-stf

aws-stf-core-scorpio

Smart Territory Framework Core