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 useWarmUP
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 himAdministratorAccess
. Once confirmed, store theAccess key ID and theSecret access key.
Finally install the AWS CLI, and setup the access keyAccess key ID and theSecret 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
andget 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 dependenciesnpm install
(AWS Lambda will install the dependencies as well).
# api/serverless.ymlservice:apiprovider:name:awsruntime:nodejs8.10environment:DYNAMODB_TABLE:${self:service}-${opt:stage, self:provider.stage}iamRoleStatements:-Effect:AllowAction:-dynamodb:GetItem-dynamodb:PutItemResource:"arn:aws:dynamodb:${opt:region,self:provider.region}:*:table/${self:provider.environment.DYNAMODB_TABLE}"functions:create:handler:todos/create.createevents:-http:path:todosmethod:postcors:trueget:handler:todos/get.getevents:-http:path:todos/{id}method:getcors:trueresources:Resources:TodosDynamoDbTable:Type:'AWS::DynamoDB::Table'DeletionPolicy:RetainProperties:AttributeDefinitions:-AttributeName:idAttributeType:SKeySchema:-AttributeName:idKeyType:HashProvisionedThroughput:ReadCapacityUnits:1WriteCapacityUnits:1TableName:${self:provider.environment.DYNAMODB_TABLE}
Next create each function file.
// api/todos/create.js'use strict';constAWS=require("aws-sdk");constuuid=require("uuid/v4");constclient=newAWS.DynamoDB.documentClient();module.exports.create=async(event)=>{constdata=JSON.parse(event.body);constparams={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';constAWS=require("aws-sdk");constdynamoDb=newAWS.DynamoDB.DocumentClient();module.exports.get=async(event)=>{constparams={TableName:"todos",Key:{id:event.pathParameters.id}};constresult=awaitdynamoDb.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 inTo 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 tothe 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
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)

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

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