lambda-s3-sftp - AWS lambda function to send an S3 file, whenever it is uploaded, to a remote server using SFTP

  •        887

This function does not replicates the S3 directory structure, it just copies every file uploaded to S3 to the SSH_DIR in the SSH_HOST.

https://github.com/renanivo/lambda-s3-sftp

Tags
Implementation
License
Platform

   




Related Projects

aws-lambda-image - Automatic image resize/reduce on AWS Lambda

  •    Javascript

An AWS Lambda Function to resize/reduce images automatically. When an image is put on AWS S3 bucket, this package will resize/reduce it and put to S3. When upload to AWS Lambda, the project will bundle only needed files - no dev dependencies will be included.

lambda-refarch-imagerecognition - The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition

  •    Javascript

The Image Recognition and Processing Backend demonstrates how to use [AWS Step Functions] (https://aws.amazon.com/step-functions/) to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo.This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.

lambda-refarch-imagerecognition - The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition

  •    Javascript

The Image Recognition and Processing Backend demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo. This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.

cljs-lambda - Utilities around deploying Clojurescript functions to AWS Lambda

  •    Clojure

AWS Lambda is a service which allows named functions to be directly invoked (via a client API), have their execution triggered by a variety of AWS events (S3 upload, DynamoDB activity, etc.) or to serve as HTTP endpoints (via API Gateway). This README serves to document a Leiningen plugin (lein-cljs-lambda), template (cljs-lambda) and small library (cljs-lambda) to facilitate the writing, deployment & invocation of Clojurescript Lambda functions.

serverless-image-resizing - CloudFormation template to resize images on-the-fly using Amazon API Gateway, AWS Lambda, and Amazon S3

  •    Javascript

Resizes images on the fly using Amazon S3, AWS Lambda, and Amazon API Gateway. Using a conventional URL structure and S3 static website hosting with redirection rules, requests for resized images are redirected to a Lambda function via API Gateway which will resize the image, upload it to S3, and redirect the requestor to the resized image. The next request for the resized image will be served from S3 directly.Use the Amazon Linux Docker container image to build the package using your local system. This repo includes Makefile that will download Amazon Linux, install Node.js and developer tools, and build the extensions using Docker. Run make all.


aws-lambda-ffmpeg - An S3-triggered Amazon Web Services Lambda function that runs your choice of FFmpeg 🎬 commands on a file 🎥 and uploads the outputs to a bucket

  •    Javascript

An AWS Lambda Event-driven function that resizes videos and outputs thumbnails using FFmpeg. This function is meant for short-duration videos. If you need to transcode long videos, check out AWS Elastic Transcoder. The different platforms have different naming conventions for their services. To simplify this, listed below is a proposed table of generalized terms that are platform-independent.

claudia - Deploy Node.js projects to AWS Lambda and API Gateway easily

  •    Javascript

Claudia makes it easy to deploy Node.js projects to AWS Lambda and API Gateway. It automates all the error-prone deployment and configuration tasks, and sets everything up the way JavaScript developers expect out of the box. This means that you can get started with Lambda and API Gateway easily, and focus on solving important business problems instead of dealing with AWS deployment workflows. Check out this video to see how to create and deploy a microservice in under 5 minutes. With the help of Claudia builder projects, you can also use API Gateway as if it were a lightweight javascript web server, or create and deploy chat bots for various platforms easily.

aws-lambda-redshift-loader - Amazon Redshift Database Loader implemented in AWS Lambda

  •    Javascript

With this AWS Lambda function, it's never been easier to get file data into Amazon Redshift. You simply push files into a variety of locations on Amazon S3, and have them automatically loaded into your Amazon Redshift clusters.For automated delivery of streaming data to S3 and subsequently to Redshift, also consider using Amazon Kinesis Firehose.

aws-serverless-workshops - Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

  •    Javascript

This repository contains a collection of workshops and other hands on content that will guide you through building various serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, Amazon Kinesis, and other services.Web Application - This workshop shows you how to build a dynamic, serverless web application. You'll learn how to host static web resources with Amazon S3, how to use Amazon Cognito to manage users and authentication, and how to build a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB.

aws-serverless-workshops - Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

  •    Javascript

This repository contains a collection of workshops and other hands on content that will guide you through building various serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, Amazon Kinesis, and other services. Web Application - This workshop shows you how to build a dynamic, serverless web application. You'll learn how to host static web resources with Amazon S3, how to use Amazon Cognito to manage users and authentication, and how to build a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB.

aws-lambda-go-shim - Author your AWS Lambda functions in Go, effectively.

  •    Python

Author your AWS Lambda functions in Go, effectively. AWS Lambda lets you run code without thinking about servers. For now, you can author your AWS Lambda functions, natively, in C#, Java, Node.js and Python. This project provides a native and full-featured shim for authoring your AWS Lambda functions in Go.

lambdaws - Deploy, run and get results from Amazon AWS Lambda in a breeze

  •    Javascript

Using Amazon's Lambda Service, Lambdaws cloudifies any JavaScript function — including existing libraries — with no extra code. It removes the friction you get when using AWS Lambda directly. The goal of Lambdaws is to make it trivial to build highly scalable, highly available applications. λ takes an inline asynchronous function and deploy it to AWS Lambda. If you call cloudedCalculator it will run in the cloud.

lambda-refarch-fileprocessing - Serverless Reference Architecture for Real-time File Processing

  •    Javascript

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This architecture is ideal for workloads that need more than one data derivative of an object. This simple architecture is described in this diagram and "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. This sample application demonstrates a Markdown conversion application where Lambda is used to convert Markdown files to HTML and plain text. You can use the provided AWS CloudFormation template to launch a stack that demonstrates the Lambda file processing reference architecture. Details about the resources created by this template are provided in the CloudFormation Template Resources section of this document.

aws-lambda-power-tuning - Step Functions state machine generator for AWS Lambda Power Tuning

  •    Javascript

Step Functions state machine generator for AWS Lambda Power Tuning. The state machine is designed to be quick and language agnostic. You can provide any Lambda Function as input and the state machine will estimate the best power configuration to minimize cost. Your Lambda Function will be executed in your AWS account (i.e. real HTTP calls, SDK calls, cold starts, etc.) and you can enable parallel execution to generate results in just a few seconds.

aws-lambda-ses-forwarder - Serverless email forwarding using AWS Lambda and SES

  •    Javascript

A Node.js script for AWS Lambda that uses the inbound/outbound capabilities of AWS Simple Email Service (SES) to run a "serverless" email forwarding service. Instead of setting up an email server on an EC2 instance to handle email redirects, use SES to receive email, and the included Lambda script to process it and send it on to the chosen destination.

aws-sdk-mock - :rainbow: AWSomocks for Javascript/Node

  •    Javascript

AWSome mocks for Javascript aws-sdk services. This module was created to help test AWS Lambda functions but can be used in any situation where the AWS SDK needs to be mocked.

aws-lambda-go - A fast and clean way to execute Go on AWS Lambda.

  •    Go

A fast and clean way to execute Go on AWS Lambda. AWS Lambda lets you run code without provisioning or managing servers. For now, it only supports Node.js, Java, C# and Python. This project provides Go support without spawning a process.

phantom-lambda-template - The bare minimum for a phantomjs app to run on Amazon Lambda.

  •    Javascript

This is a reference implementation of running PhantomJS on AWS Lambda deployed with AWS CodePipeline. PhantomJS needs to be compiled for the OS you plan on running it and this can be painful because of that fact. This could be circumvented with a build server, which is a very personal decision and it was hard to commit to a build server for this little project. Now with AWS CodeBuild, this has become a trivial matter. So we are using AWS Developer tools 100%, AWS created a great walk through: Automating Deployment of Lambda-based Applications I have done my best to automate the walk through, so its simple and repeatable.

aws-lambda-container-image-converter - The AWS Lambda container image converter tool (img2lambda) repackages container images (such as Docker images) into AWS Lambda layers, and publishes them as new layer versions

  •    Go

This container image converter tool (img2lambda) repackages container images (such as Docker images) into AWS Lambda layers, and publishes them as new layer versions to Lambda. The tool copies all files under '/opt' in the Docker image, maintaining the individual Docker image layers as individual Lambda layers. The published layer ARNs will be stored in a file 'output/layers.json', which can be used as input when creating Lambda functions. Each layer is named using a "namespace" prefix (like img2lambda or my-docker-image) and the SHA256 digest of the Docker image layer, in order to provide a way of tracking the provenance of the Lambda layer back to the Docker image that created it.

Bender - Serverless ETL Framework

  •    Java

This project provides an extendable Java framework for creating serverless ETL functions on AWS Lambda. Bender handles the complex plumbing and provides the interfaces necessary to build modules for all aspects of the ETL process.






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.