Photo by on Caleb George Unsplash Introduction A few years ago AWS launched static hosting service S3, which was a paradigm shift for hosting static websites. The tech was crystal clear, all the static assets (HTML, CSS, and JS) would reside in an S3 bucket to host your impressive website. A pretty cool idea I personally liked it, really. Had it not been for that super important contact form hosting on S3 would have been cool but your contact form would be a joke unless you had another server in place to service AJAX requests from that form. The moment you had that service ready, the S3 solution wouldn’t appear so attractive at all. In the age of cutting edge technology, there’s always jaw-dropping innovations around the corner. One of the awesome tech innovation happens to be serverless. Not that there are no servers involved but you can care less about them now. Serverless can be a proper and viable solution to a lot of problems, it is the most perfect solution for your static hosted contact form. Keep reading by the end of this post you will be able to handle your website forms in the most inexpensive and simplest manner possible. The Serverless Framework Source: https://serverless.com/ Serverless is your toolkit for deploying and operating serverless architectures. Focus on your application, not your infrastructure. — Serverless.com The Swiss army knife of Serverless technologies. Serverless Framework is a free and open-source web framework written in Node.js. Serverless was the first framework to be developed for building applications exclusively on AWS Lambda, the serverless computing platform provided by Amazon Web Services. Currently, applications developed with Serverless Framework can be deployed to other FaaS service providers. Here is the list of the Serverless cloud services supported by the Serverless Framework: AWS Lambda Google Cloud Functions Azure Functions IBM OpenWhisk Auth0 Webtask Oracle Fn Project Spotinst Kubeless Getting started with Serverless Framework Obviously, you are pretty excited to get started with the Serverless Framework, let’s cut to the chase and start by installing Serverless. Setting up Serverless is simple. You need to install it through npm and link it to your AWS account. 1. Installing Serverless Globally Time to get hands-on Serverless stuff. $ npm install serverless -g This command installs Serverless globally on your local machine. The Serverless commands are now available to you from your terminal. Running Linux, you may want to run the above command as sudo. Note: 2. Create an IAM user in the AWS Console Go to your , you will find the listed below the “Security, Identity & Compliance” group. Inside the IAM dashboard click on the Users tab and click “Add User” button. AWS Console IAM service AWS IAM Dashboard User Tab Create a new user and allow the user by clicking on the Programmatic access checkbox. Next, in the permissions section, you need to add a set of permissions to the user. From the list of available options under the “Attach existing policies directly” check the . programmatic access AdministratorAccess After the user is created, you will have access to the users and . You will be required to use these keys in the next step. Access Key ID Secret Access Key These are the kind of credentials you don’t want to lose even by mistake, remember you have provided to this user. The user with can do pretty much everything with your AWS account. Word of Caution: AdministratorAccess AdministratorAccess 3. Configuring Serverless to use IAM Credentials Great! With the keys, you can set up Serverless Framework to access your AWS account. Switch to your terminal and use this command to configure Serverless: $ sls config credentials --provider aws --key xxxxxxxxxxxxxx --secret xxxxxxxxxxxxxx --profile <username> Now your Serverless installation knows what account AWS to connect. is an alias for the command. You can use both to the same effect. But is kinda cool. Note: sls serverless sls 4. Creating a service With the Serverless Framework hooked up with your AWS account, you can set up a Serverless project in a jiffy. Fire up the terminal and issue the following command: $ sls create --template aws-python --path <your-folder-path> The flag is used to specify a preset template with the given settings. In the above command the template will set up the project configured to use AWS as the provider and Python as the runtime. The command will auto-generate , and file with preset values. --template aws-python serverless.yml handler.py .gitignore The configuration is defined in the file. This file is the most important file in the Serverless Framework. It’s almost magical, given how it can spin up the infrastructure you have defined in it. The contents of the auto-generated file will look something like this: serverless.yml serverless.yml service: <your-service-name> provider:name: awsruntime: python2.7 functions:hello:handler: handler.hello The section defines everything related to the service provider, there are a lot more properties to configure it further you can take a look at them . In the auto-generated file, you need to add two important tags under the section, which are as follows: provider here serverless.yml provider region: <your-aws-region>profile: <aws-username-with-programmatic-access> The property is used to declare the serverless functions, you can declare multiple functions under this property. The above example declares a function called present in the file. Browse over to the file and you will find something like this: functions hello handler.py handler.py import json def hello(event, context):body = {"message": "Go Serverless v1.0! Your function executed      successfully!","input": event}response = {"statusCode": 200,"body": json.dumps(body)}return response The Serverless App Our Serverless solution makes use of AWS infrastructure, it consists of API Gateway, Lambda Functions, DynamoDB and Simple Email Service(SES). To achieve this end result we will use the previously introduced Serverless Framework. Architecture of the Serverless app Amazon S3 provides a robust and simple web server. All of the static HTML, CSS and JS files for your application can be served from S3. The contact form on our static website is submitted using AJAX. Static Website — The API Gateway is the event source for the application, it acts as a bridge between our contact form and serverless lambda function. It routes the request from the contact form to the lambda function. The API Gateway also performs tasks such as access control, monitoring, API version control and traffic management. API Gateway — AWS Lambda is the place where the action takes place. Lambda functions run in stateless compute containers that are event-triggered, managed and ephemeral. In our example, we use a lambda function to send email using SES and store the request contents in DynamoDB NoSQL database. AWS Lambda — The cloud-based email sending service from Amazon. Scalable email service, you can send marketing and transactional emails using SES. In our example, we use SES to send emails using a verified email address. Simple Email Service (SES) — DynamoDB provides a scalable, consistent, fully managed and non-relational database from Amazon. In our example, we use DynamoDB to store and retrieve the messages received from the static contact form. DynamoDB — You can find the source code for the demo application here. Go ahead and clone it! _python-ses-dynamodb-contactform - Serverless Framework SES and DynamoDB Contact Form_github.com faizanbashir/python-ses-dynamodb-contactform Application Walkthrough Let’s have a stroll through the demo application before we actually deploy it on AWS. 1. Demystifying the serverless.yml file The serverless.yml file defines the services the application needs to use and interact with. The resources and the actions the Serverless functions can perform are listed under the property. It lists the actions and resources. **iamRoleStatements** iamRoleStatements: Effect: "Allow"Action: ses:SendEmail ses:SendRawEmailResource: "*" Effect: "Allow"Action: dynamodb:Scan dynamodb:PutItemResource: "arn:aws:dynamodb:${opt:region, self:provider.region}:*:table/${self:provider.environment.DYNAMODB_TABLE}" In the we are allowing the Serverless functions to use and actions among many others defined above. serverless.yml ses:SendEmail dynamoDB:PutItem Since Lambda runs serverless functions in the cloud, we need to define the functions somewhere. Functions are defined using the property. In our example application we have defined events attached to them. **functions** functions:sendMail:handler: handler.sendMaildescription: Send Email using AWS SES Serviceevents:- http:path: sendMailmethod: postintegration: lambdacors: trueresponse:headers:"Access-Control-Allow_Origin": "'*'" list:handler: handler.listdescription: List all the contact form submissionsevents:- http:path: listmethod: getintegration: lambdacors: trueresponse:headers:"Access-Control-Allow_Origin": "'*'" Another great feature of Serverless Framework is that it will create an API in the AWS API Gateway and link it with relevant Lambda function. This is done using the property defined in the property. http events 2. Creating Resources With Serverless Framework you create resources like a DynamoDB table as we have done here. This snippet of code is responsible for creating a DynamoDB table with the given configuration. resources:Resources:ContactFormDynamoDbTable:Type: 'AWS::DynamoDB::Table'DeletionPolicy: RetainProperties:AttributeDefinitions:-AttributeName: idAttributeType: SKeySchema:-AttributeName: idKeyType: HASHProvisionedThroughput:ReadCapacityUnits: 1WriteCapacityUnits: 1TableName: ${self:provider.environment.DYNAMODB_TABLE} 3. Peek into the Serverless functions The demo application is written in , it uses AWS SDK to send emails using SES and for performing read/write operations on DynamoDB. python boto3 The function is triggered when a request is received from the contact form on the path. The function is triggered by a request to path defined in the file. sendMail POST /sendMail list GET /list serverless.yml Building the Application Now that you have set up and configured the Serverless Framework in your machine, it’s time to get things rolling. 1. Clone the application Let’s start by cloning the application from Github. $ git clone $ cd python-ses-dynamodb-contactform https://github.com/faizanbashir/python-ses-dynamodb-contactform 2. Verify e-mail address with SES Fast-forward to verifying the email you intend to send email from SES. All you need to do is add an email address, AWS will send you a verification with a link to verify the email address. After verifying the email address, the “Verification Status” for the email will show up as “verified”. 3. Configuring the application You need to configure the with your account specific details to make it work. Replace the , and properties in as seen here: serverless.yml region profile SENDER_EMAIL serverless.yml provider:name: awsruntime: python2.7region: <aws-region>profile: <aws-user>...environment:SENDER_EMAIL: <verified-email-address> Awesome! with the configuration done you can turn your attention to deploying the application. 4. Deploying to AWS Everything in place now you can deploy application with a single command, ain’t that super cool. $ sls deploy -v It will take a minute or two to execute if you religiously followed this tutorial, at the end it will provide you a list of endpoints to use for calling our functions. It will look something like this: endpoints:POST - GET - https://xxx.execute-api.xx.amazonaws.com/development/sendMail https://xxxx.execute-api.xx.amazonaws.com/development/ list 5. Testing the endpoints Now that we have the endpoints let’s test application to see if it’s working or not. The endpoint expects input in JSON format. /sendMail $ curl --header "Content-Type: application/json" \--request POST \--data '{"firstname": "John", "lastname": "Doe", "email": ", "message": "Hi there"}'\ "john@doe.com https://xxx.execute-api.xx.amazonaws.com/development/sendMail If the email is sent and the entry written to DynamoDB the request will exit with a response like this. > "Email Sent!" Now, let’s test the endpoint in the same manner with the endpoint you got after deploying the application. /list GET $ curl https://xxxx.execute-api.xx.amazonaws.com/development/ list The endpoint response will look something like this: /list > {"body": [{"firstname": "John", "lastname": "Doe", "email": " ", "updatedAt": 1529425349731, "message": "Hi there", "id": "f651c404-73dc-11e8-bf3e-be54be0b5d22", "createdAt": 1529425349731}], "statusCode": 200} john@doe.com 6. The Contact Form With the Serverless functions working properly we can go ahead and integrate it into our static contact form. The static form code is in the folder. public Open the file in your favourite IDE and update the variable with the endpoint and you are good to go. index.html URL /sendMail //Insert your lambda function URL here var URL = " "; https://xxx.execute-api.xx.amazonaws.com/development/sendMail Navigate to the page using the in the browser or upload it to S3 bucket and enable static hosting. file:///<path>/<to>/<folder>/index.html $ aws s3 sync public s3://your-bucket-name Serverless Contact Form Treat yourself with a Cappuccino, Latte or <insert-your-favorite-drink>. You just implemented a cool way to keep your website on static hosting with handling your forms, thanks to Serverless. Afterthoughts Serverless is definitely the way forward, not just for the worlds static contact forms. Serverless has opened a universe of opportunities for you, the contact form was just to get started with. How about using Serverless for your website analytics, a visitor counter or maybe click tracking? Endless opportunities are waiting for you. Get started for your next project in Serverless, it’ll be an awesome journey. Originally published at www.serverlessops.io .

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