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.
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:
npm install
In addition you need to create an S3 bucket you want to store the files in. After you created the bucket change the bucket name in serverless.yml
custom settings to your buckets.
custom: bucket: <your-bucket-name>
Deploy
In order to deploy the you endpoint simply run
serverless deploy
The expected result should be similar to:
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 Informationservice: aws-node-fetch-file-and-store-in-s3stage: devregion: us-west-1api keys: Noneendpoints: Nonefunctions: 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
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:
"Saved"--------------------------------------------------------------------START RequestId: c658859d-bd11e6-ac1f-c7a7ee5bd7f3 Version: $LATESTEND RequestId: c658859d-bd11e6-ac1f-c7a7ee5bd7f3REPORT RequestId: c658859d-bd11e6-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.