AWS Lambda & Serverless - Developer Guide with Hands-on Labs. Develop thousands line of aws lambda functions interact to aws serverless services with real-world hands-on labs
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Updated
Dec 5, 2023 - JavaScript
AWS Lambda & Serverless - Developer Guide with Hands-on Labs. Develop thousands line of aws lambda functions interact to aws serverless services with real-world hands-on labs
AWS Step Functions Example
A Pi Zero and Motion based webcamera that forwards images to Amazon Web Services for Image Processing
Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
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Simple example on how to use AWS Step Functions, to integrate multiple AWS Lambda functions.
Serverless sign-up to Slack (and other services) with Serverless.com
An AWS CodeBuild project optimized for multiple source repos & any combination of buildspec based scripts from config values
Learn how to call AWS Step Functions from AWS Lambda Functions
Use Jinja2 templates to perform input/output transformation on AWS Step Functions State Machines
Serverless Telegram bot made on 4 AWS Lambda chained by AWS Step Functions. All of this written on Serverless Framework using plugins.
A simple boilerplate to invoke AWS Step Functions from AWS Lambda.
To retrieve parameters from AWS Systems Manager's Parameter Store.
FaaS Shell is a shell for Serverless Function Workflow across multiple clouds.
The Self (ne) Destruct Device
One stop restaurants rating comparison website for AppWorks School using information crawled from Uber Eats, Food Panda and Google Map.
an AWS serverless backend deployment of a Iot monitoring project
Docker container that lints AWS State Machine definitions
Amatsooni-seittijumalanpalvelus: Kukonaskelruumiinosantoiminnot
This is a sample project to use map state in a state machine to loop through a list of events and invoke a Lambda to process them and store the erros events in a SQS queue. In the subsequest run the Lambda receives the error events from the SQS to retry the processing. The entire stack is created using AWS CloudFormation.
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