From c833eab89e873c15b60d2dae04561e6d3af974f7 Mon Sep 17 00:00:00 2001
From: Joe Robinson <joe.robinson@masabi.com>
Date: Thu, 18 Jan 2018 15:06:40 +0000
Subject: Test repo

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+<!--
+title: AWS Fetch image from URL and upload to S3 example in NodeJS
+description: This example display how to fetch an image from remote source (URL) and then upload this image to a S3 bucket.
+layout: Doc
+-->
+# Fetch image from URL then upload to s3 Example
+
+This example display how to fetch an image from remote source (URL) and then upload this image to a S3 bucket.
+
+## Use-cases
+
+- Store a user's profile picture from another service.
+
+## How it works
+
+We first fetch the data from given url and then call the S3 API `putObject` to upload it to the bucket.
+
+```js
+fetch('image URL')
+  .then(res => {
+    return s3.putObject({Bucket, Key, Body: res.body}).promise();
+  }).then(res => {
+    callback(null, res);
+  }).catch(err => {
+    callback(err, null);
+  });
+```
+
+## Setup
+
+Since this plugin uses the Serverless plugin `serverless-secrets-plugin` you need to setup the `node_modules` by running:
+
+```bash
+npm install
+```
+
+In addition you need to create an S3 bucket you want to store the files in. After you created the bucket add change the bucket name in `serverless.yml` custom settings to your buckets.
+
+```yml
+custom:
+  bucket: <your-bucket-name>
+```
+
+## Deploy
+
+In order to deploy the you endpoint simply run
+
+```bash
+serverless deploy
+```
+
+The expected result should be similar to:
+
+```bash
+Serverless: Creating Stack...
+Serverless: Checking Stack create progress...
+.....
+Serverless: Stack create finished...
+Serverless: Packaging service...
+Serverless: Uploading CloudFormation file to S3...
+Serverless: Uploading service .zip file to S3 (1.8 KB)...
+Serverless: Updating Stack...
+Serverless: Checking Stack update progress...
+................
+Serverless: Stack update finished...
+
+Service Information
+service: aws-node-fetch-file-and-store-in-s3
+stage: dev
+region: us-west-1
+api keys:
+  None
+endpoints:
+  None
+functions:
+  aws-node-fetch-file-and-store-in-s3-dev-save: arn:aws:lambda:us-west-1:377024778620:function:aws-node-fetch-file-and-store-in-s3-dev-save
+```
+
+## Usage
+
+You can now send an HTTP request directly to the endpoint using a tool like curl
+
+```bash
+serverless invoke --function save --log --data='{ "image_url": "https://assets-cdn.github.com/images/modules/open_graph/github-mark.png", "key": "github.png"}'
+```
+
+The expected result should be similar to:
+
+```bash
+"Saved"
+--------------------------------------------------------------------
+START RequestId: c658859d-bd42-11e6-ac1f-c7a7ee5bd7f3 Version: $LATEST
+END RequestId: c658859d-bd42-11e6-ac1f-c7a7ee5bd7f3
+REPORT RequestId: c658859d-bd42-11e6-ac1f-c7a7ee5bd7f3	Duration: 436.94 ms	Billed Duration: 500 ms 	Memory Size: 1024 MB	Max Memory Used: 29 MB
+```
+
+## Scaling
+
+By default, AWS Lambda limits the total concurrent executions across all functions within a given region to 100. The default limit is a safety limit that protects you from costs due to potential runaway or recursive functions during initial development and testing. To increase this limit above the default, follow the steps in [To request a limit increase for concurrent executions](http://docs.aws.amazon.com/lambda/latest/dg/concurrent-executions.html#increase-concurrent-executions-limit).
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