A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

Configuration with AWS step functions and lambdas which initiates processing from activity state

Build and deploy a serverless data pipeline on AWS with no effort.

All your AWS Stepfunctions at a glance in the terminal! 🧐

A single pipeline to deploy multiple services on amazon ecs using gitops

Serverless Telegram bot made on 4 AWS Lambda chained by AWS Step Functions. All of this written on Serverless Framework using plugins.

This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.

A Step Functions microservice for remediating GuardDuty findings.

Introducing an application that uses ChatGPT to generate daily summaries of your WhatsApp group discussions, saved to a Google Sheet, and providing easy access to previous conversations and shared media.

A pytest fixture that makes you able to mock Lambda code during AWS StepFunctions local testing

Activity worker for performing activity tasks from AWS StepFunctions

SAM template for Amazon DynamoDB table to CSV using DynamoDB Export feature.

A fast, scalable, multithreaded download statemachine based on AWS, supporting .mkv, .mov, .mp4, .jpg, and others.

AWS resources

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 …

Exports StepFunctionExecution history

API Gateway経由でStep Functionsを起動するサンプル

AWS Step Functions の parallel と map のサンプル