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AWS Lambda

Updated

This guide currently covers NodeJS on Lambda. Until the Python Blueprint is completed, please refer to our simplified guide to Webhooks using Python on Lambda.

AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information.

Algorithmia + Lambda

Algorithmia provides a built-in AWS Lambda Node.js blueprint, making it easy to call the Algorithmia API in response to events from Amazon Kinesis, Amazon DynamoDB, Amazon S3, and other Amazon web services.

For example, you could combine several algorithms from Algorithmia to:

  • Automatically generate smart thumbnails (using face detection to ensure every thumbnail is perfectly cropped)
  • Take advantage of Algorithmia’s speech-to-text algorithm to transcribe videos uploaded to S3 on the fly
  • You could even leverage a predictive model every time DynamoDB updates.

Algorithmia and Lambda make it easy to rapidly build and deploy serverless solutions in minutes.

Setup your Lambda function

Getting started

  • Navigate to the AWS Lambda console
  • Select Create function
  • Pick “Blueprints”
  • Type Algorithmia into the filter
  • set an Application Name and Topic, and click “Deploy”
  • wait for AWS to deploy, then click “algorithmia” under the Resources section
  • click “Add Trigger” and configure as needed for your workflow
  • click on the Lambda icon next to “serverless-algorithmia-YourFunctionName” at the top
  • edit the code, setting const algorithm under processEvent, modifying const inputData to handle the triggering event’s datastructure (the template assumes an S3 event), and modifying the output (in client.algo(algorithm).pipe(inputData).then((output) => as needed for your workflow.
  • for higher security, configure your KMS Encrypted Key as shown below, and set const kmsEncryptedApiKey in your code
  • for a simpler but less secure config, you can embed your API Key directly into your code by assigning a value to let apiKey
  • save and test your code

Authentication

Basic authentication

Set apiKey to your Algorithmia API key. Also set kmsEncryptedApiKey to null.

Basic authentication:

apiKey = "YOUR_API_KEY";
kmsEncryptedApiKey =  null;

Advanced authentication (more secure)

Follow these steps to encrypt your Algorithmia API Key for use in your function.

1. Create a KMS key

Follow this AWS guide to create your KMS key.

2. Give your lAWS Lambda function execution role permission for the kms:Decrypt action

Example Role:

{
    "Version": "2012-10-17",
    "Statement": [
    {
        "Sid": "Stmt1443036478000",
        "Effect": "Allow",
        "Action": [
            "kms:Decrypt"
        ],
        "Resource": [
            "<your KMS key ARN>"
        ]
    }
    ]
}
3. Encrypt the event collector token using the AWS CLI
aws kms encrypt --key-id alias/<KMS key name> --plaintext "YOUR_API_KEY"
4. Copy the base-64 encoded, encrypted key (CiphertextBlob) to the kmsEncryptedApiKey variable
kmsEncryptedApiKey = "<kmsEncryptedApiKey>";

Additional information

See the NodeJS guide for an introduction to using the Algorithmia NodeJS client to call algorithms and manage data.

Your account can make up to 80 Algorithmia requests at the same time (this limit can be raised if needed).

See also the AWS Lambda walk through on our blog.