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serverless-sam

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Serverless framework plugin to export AWS SAM templates for a service

github.com/SAPessi/serverless-sam

SAPessi/serverless-sam

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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).