step-functions
There are 4 repositories under step-functions topic.
serverless-operations / serverless-step-functions
AWS Step Functions plugin for Serverless Framework ⚡️
Language:JavaScript 1023- generative-ai-cdk-constructs
awslabs / generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Language:TypeScript 308 awsrun / aws-microservices
AWS Serverless Event-driven Microservices with using AWS Lambda, AWS DynamoDB, AWS API Gateway, AWS EventBridge, AWS SQS, AWS CDK stands for Cloud Development Kit for IaC — Infrastructure as Code tool and AWS CloudWatch for monitoring.
Language:JavaScript 291sakazuki / step-functions-draw.io
You can make a AWS step functions workflow with GUI and export/import JSON/YAML.
Language:TypeScript 278- step-functions-workflows-collection
aws-samples / step-functions-workflows-collection
Step Functions Workflows. Learn more at the website: https://serverlessland.com/workflows.
Language:Python 209 Genomics Workflows on AWS
Language:Shell 140erezrokah / aws-testing-library
Chai (https://chaijs.com) and Jest (https://jestjs.io/) assertions for testing services built with aws
Language:TypeScript 126noahgift / pragmaticai
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Language:Makefile 126intuit / Trapheus
This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.
Language:Python 101The Asynchronous Messaging Workshop is a collection of individual labs covering different aspects and patterns of asynchronous messaging.
Language:CSS 89vkkis93 / serverless-step-functions-offline
Emulate step functions locally when developing your Serverless project
Language:JavaScript 78This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
- Language:Python 51
ljacobsson / sfn-workflow-studio-sync
Enables real-time sync between StepFunctions Workflow Studio and your local machine
Language:JavaScript 44This application uses a Synchronous Express workflow to analyse a contact form submission and provide customers with a case reference number.
Language:JavaScript 43This 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.
Language:JavaScript 39This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.
Language:Jupyter Notebook 38- Language:Clojure 38
Example application using the new Step Functions integration with API Gateway. It developers to call API Gateway REST APIs and API Gateway from a Step Functions workflow.
Language:JavaScript 34- aws-step-functions-constructor
paulshestakov / aws-step-functions-constructor
VSCode extension to visualize AWS step functions
Language:TypeScript 30 paulswail / serverless-email-scheduler
Schedule future emails with AWS Lambda and Step Functions
Language:JavaScript 30vincentclaes / stepview
All your AWS Stepfunctions at a glance in the terminal! 🧐
Language:Python 28Techniques for Scraping the Web in Python
Language:Jupyter Notebook 24mavi888 / sam-stepfunctions-sdk-integration
Create a state machine using AWS SAM and the AWS SDK service integrations. Learn how to do unit tests of your state machines.
Language:Makefile 22toricls / aws-fargate-with-step-functions
Patterns for running Amazon ECS/AWS Fargate tasks resiliently with AWS Step Functions
Automated Amazon GuardDuty Security Response
Language:Python 18With 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.
Language:Python 16Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune
Language:Python 15- Language:Go 15
eclecticlogic / stepper
Stepper allows you to write AWS Step Functions using a higher level programmatic language.
Language:Java 15jamoy / stepfunctions
AWS Step Function Implementation in JS, so you can run your Node.js lambda handlers in your test environments. Made to support Serverless JS testing.
Language:JavaScript 15TangleSpace / hotstepper
A Numpy based step function library for analysis and profit. More than just taking you up and down.
Language:Python 15Learn how to extend AWS Amplify resources with CDK v2 with this example that deploys a Step Functions workflow triggered via an Amplify-managed AppSync API
Language:TypeScript 14How to invoke a Step Function in a synchronous way from API Gateway.
Language:JavaScript 14This project is an example of using AWS Step functions to manage and track a series of AWS Batch jobs in N_TO_N mode.
Language:TypeScript 11zaccharles / step-functions-express-executions
Browser extension that adds execution history and detail for AWS Step Functions express workflows
Language:TypeScript 11
