Victor Hazbun

Posted on Jun 22, 2019 • Edited on Jul 2, 2019

Serverless Node apps on AWS Lambda

#node #serverless #aws

What is Serverless?

Functions as services (FaaS). These consist of ephemeral containers that auto-scale and have a pay-per-execution pricing.

Still confused?

It runs your functions in the cloud without the need of a server PERIOD.

Pros

Low-Price, the cost of this functions being executed are way lower than having your own custom host.
Auto-scale, you don't need to worry about scaling the server since you don't really have a server. AWS Lambda will do it automatically for you as the function receives more and more requests.
Zero maintainability, you don't need to maintain the server hosting your functions.

Cons

Hot-cold fashioned, the functions are turned off and then on after a request has been made, this will result in a delay on the response.
Environment blocked, you can't install additional packages or software, so if your function depends on a third party package, you can forget about using AWS Lambda.
Different environments, the changes you have made in one instance will not be guaranteed to be persisted in the next instance. All will be wiped out (randomly).

How to battle against Cons

Hot-cold fashioned

You can use WarmUP

Environment blocked

You could tell your function to consume an API that host the software you depend on.

Different environments

You could store the files you need to persist using AWS S3

Setup

Visit AWS AIM console, create a new User, next give him access to Programmatic access and finally give him AdministratorAccess. Once confirmed, store the Access key ID and the Secret access key.

Finally install the AWS CLI, and setup the access key Access key ID and the Secret access key.

brew install awscli

aws configure

Serverless Framework

Install the serverless framework.

npm install -g serverless

Manual setup

Let's setup the serverless framework in our app manually. And expose two API endpoints, create user and get one user.

serverless create --template aws-nodejs --path api

cd api

mkdir todos

// api/package.json
{
  "name": "api-todos",
  "version": "1.0.0",
  "description": "Create and Get one Todo",
  "author": "",
  "license": "MIT",
  "dependencies": {
    "uuid": "^2.0.3"
  }
}

Install our dependencies npm install (AWS Lambda will install the dependencies as well).

# api/serverless.yml
service: api

provider:
  name: aws
  runtime: nodejs8.10
  environment:
    DYNAMODB_TABLE: ${self:service}-${opt:stage, self:provider.stage}
  iamRoleStatements:
    - Effect: Allow
      Action:
        - dynamodb:GetItem
        - dynamodb:PutItem
      Resource: "arn:aws:dynamodb:${opt:region, self:provider.region}:*:table/${self:provider.environment.DYNAMODB_TABLE}"

functions:
  create:
    handler: todos/create.create
    events:
      - http:
          path: todos
          method: post
          cors: true
  get:
    handler: todos/get.get
    events:
      - http:
          path: todos/{id}
          method: get
          cors: true

resources:
  Resources:
    TodosDynamoDbTable:
      Type: 'AWS::DynamoDB::Table'
      DeletionPolicy: Retain
      Properties:
        AttributeDefinitions:
          -
            AttributeName: id
            AttributeType: S
        KeySchema:
          -
            AttributeName: id
            KeyType: Hash
        ProvisionedThroughput: 
          ReadCapacityUnits: 1
          WriteCapacityUnits: 1
        TableName: ${self:provider.environment.DYNAMODB_TABLE}

Next create each function file.

// api/todos/create.js
'use strict';

const AWS = require("aws-sdk");
const uuid = require ("uuid/v4");
const client = new AWS.DynamoDB.documentClient();

module.exports.create = async (event) => {
  const data =JSON.parse(event.body);
  const params = {
    TableName: "todos"'
    Item: {
      id: uuid(),
      text: data.text,
      checked: false
    }
  };

  await client.put(params).promise();
  return{
    statusCode: 200,
    body: JSON.stringify(data)
  };
};

// api/todos/get.js

'use strict';
const AWS = require("aws-sdk");

const dynamoDb = new AWS.DynamoDB.DocumentClient();

module.exports.get = async (event) => {
  const params = {
    TableName: "todos",
    Key: {
      id: event.pathParameters.id
    }
  };

  const result = await dynamoDb.get(params).promise();
  if (result.Item) {
    return {
      statusCode:200,
      body: JSON.stringify(result.Item)
    };
  } else {
    return {
      statusCode: 404,
      body: JSON.stringify({ message: "Couldn't find the todo item." })
    };
  }
}

event is an object containing the request data.
context is an object containing the AWS info.
callback is a function that will be invoked with an error response as first argument or a valid response as second argument.

Deploy

Deploying is one of the coolest part.

sls deploy

Once deployed you can test the function.

Create a Todo

curl -X POST https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos --data '{ "text": "Learn Serverless" }'
Output:

{"text":"Learn Serverless","id":"ee6490d0-aa11e6-9ede-afdfa051af86","createdAt":1479138570824,"checked":false,"updatedAt":1479138570824}%

Get one Todo

# Replace the <id> part with a real id from your todos table curl https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos/<id>

Output:

{"text":"Learn Serverless","id":"ee6490d0-aa11e6-9ede-afdfa051af86","createdAt":1479138570824,"checked":false,"updatedAt":1479138570824}%

More about deployment

You can also deploy JUST the function (This is pretty fast).

serverless deploy function -f create

DynamoDB

When you create a table, you specify how much provisioned throughput capacity you want to reserve for reads and writes. DynamoDB will reserve the necessary resources to meet your throughput needs while ensuring consistent, low-latency performance. You can change the provisioned throughput and increasing or decreasing capacity as needed.

Concurrent executions

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.

Handling lots of traffic

If you expect to have a lot of traffic it's recommended to switch to the auto scaling option for DynamoDB.

Real world use cases

AWS Lambda or any other Lambda could be used for multiple purposes, like:

Data processing
Backends
IoT
Bots

Learn more about use cases

Final thoughts

No more servers? Well, certainly no. This will not replacement for serves (at least not now). However, it's a great tool to develop micro-services and many other things.

Top comments (2)

Nadav Goldstein • Jun 24 '19

Hi! Awesome read :)
I too use AWS to deploy microservices, and in the past used serverless cli.
unfortunately I found it to be very limiting cli, while AWS cli was too broad.

I came up with an alternative which takes the best from both worlds, called Rocketsam!

github.com/nadav96/rocketsam

If you find this tool useful, please let me know! :P

Victor Hazbun • Jun 24 '19

Here are some other options:

AWS Amplify
Netlify
Azure functions

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