How to Deploy an application using Elastic Beanstalk & AWS CICD tools with full automation

Elastic Beanstalk & AWS CICD

Deploying an application using Elastic Beanstalk & AWS CICD tools can be a complex process, but with the right steps, it can be done efficiently and effectively. Here’s an example of how to do it with full automation code:

  1. Create an Elastic Beanstalk environment (Elastic Beanstalk & AWS CICD )

First, you need to create an Elastic Beanstalk environment to deploy your application. Here are the steps to create an environment:

  • Log in to your AWS Management Console and select Elastic Beanstalk from the services menu.
  • Click on “Create new application” and give your application a name.
  • Choose the platform you want to use (e.g., Node.js, Java, Python, etc.) and configure the environment settings.
  • Choose the deployment option “Upload your code” and upload your application code.
  1. Set up AWS CICD tools

After setting up the Elastic Beanstalk environment, you need to set up AWS CICD tools. Here are the steps:

  • Log in to your AWS Management Console and select CodePipeline from the services menu.
  • Click on “Create pipeline” and give your pipeline a name.
  • Choose the source provider where your code is hosted (e.g., GitHub, AWS CodeCommit, Bitbucket, etc.) and configure the source settings.
  • Choose the build provider where your code will be built (e.g., AWS CodeBuild) and configure the build settings.
  • Choose the deployment provider where your code will be deployed (e.g., Elastic Beanstalk) and configure the deployment settings.
  1. Write automation code

Now, it’s time to write the automation code to automate the deployment process. Here’s an example of what the code might look like:

version: 0.2

phases:
  install:
    runtime-versions:
      nodejs: 12
    commands:
      - npm install

artifacts:
  files:
    - '**/*'
    - '!node_modules/**/*'

deploy:
  provider: elasticbeanstalk
  region: us-west-2
  app: my-app
  env: my-environment
  bucket_name: my-bucket
  on:
    branch: main

In this example, we’re using AWS CodeBuild to build our application and AWS Elastic Beanstalk to deploy it. We’re also using a YAML configuration file to define the deployment settings.

  1. Test the automation code

After writing the automation code, it’s essential to test it to ensure that it works correctly. Here’s how you can test the code:

  • Create a new branch in your source code repository.
  • Make some changes to your code and commit them to the new branch.
  • Push the changes to the repository.
  • AWS CodePipeline should detect the changes and start the deployment process.
  • Monitor the deployment process to ensure that it completes successfully.
  1. Monitor and troubleshoot

After deploying your application, it’s essential to monitor it to ensure that it’s working correctly. Here are some tools you can use to monitor your application:

  • AWS CloudWatch: You can use CloudWatch to monitor your application’s metrics, logs, and events.
  • AWS X-Ray: You can use X-Ray to trace requests through your application and identify performance bottlenecks.
  • AWS Elastic Beanstalk console: You can use the Elastic Beanstalk console to view the health of your environment and troubleshoot issues.

By following these steps, you can deploy an application using Elastic Beanstalk & AWS CICD tools with full automation example code.

Write infrastructure as code example using AWS CloudFormation

Here’s an example of infrastructure as code using AWS CloudFormation. In this example, we’ll create an EC2 instance and a security group to allow inbound traffic on port 22 (SSH).

---
Resources:
  MyInstance:
    Type: "AWS::EC2::Instance"
    Properties:
      ImageId: ami-0c55b159cbfafe1f0 # Amazon Linux 2 AMI
      InstanceType: t2.micro
      SecurityGroupIds:
        - !Ref MySecurityGroup
      KeyName: my-key-pair
  MySecurityGroup:
    Type: "AWS::EC2::SecurityGroup"
    Properties:
      GroupDescription: "Enable SSH access"
      SecurityGroupIngress:
        - IpProtocol: tcp
          FromPort: 22
          ToPort: 22
          CidrIp: 0.0.0.0/0

In this example, we have two resources: an EC2 instance and a security group. The MyInstance resource creates an Amazon EC2 instance with the specified ImageId and InstanceType. It also specifies the SecurityGroupIds parameter to attach the security group we’ll create.

The MySecurityGroup resource creates a security group that allows inbound traffic on port 22 (SSH) from any IP address (0.0.0.0/0).

To create this infrastructure using AWS CloudFormation, you can save the code as a file (e.g., my-infra.yml) and use the AWS CLI or AWS Management Console to deploy it. Here’s an example of how to deploy it using the AWS CLI:

  1. Save the code as my-infra.yml.
  2. Create a CloudFormation stack using the AWS CLI:
aws cloudformation create-stack --stack-name my-stack --template-body file://my-infra.yml

3. Wait for the stack to finish creating:

aws cloudformation wait stack-create-complete --stack-name my-stack

4. Verify that the EC2 instance was created:

aws ec2 describe-instances --filters "Name=tag:aws:cloudformation:stack-name,Values=my-stack" --query "Reservations[].Instances[].InstanceId"

This is just a simple example, but AWS CloudFormation can be used to define and manage much more complex infrastructure, including load balancers, databases, and more.

Implement messaging and integration patterns using AWS SQS

Here’s an example of using AWS SQS (Simple Queue Service) to implement a messaging pattern known as the “fan-out” pattern. In this pattern, messages are sent to a single topic or queue, and then the messages are distributed to multiple subscribers.

We’ll use AWS SNS (Simple Notification Service) to publish messages to the SQS queue, and then use AWS Lambda to process the messages.

  1. Create an SQS Queue
---
Resources:
  MyQueue:
    Type: "AWS::SQS::Queue"
    Properties:
      QueueName: my-queue

In this example, we define an SQS queue named my-queue. This queue will store the messages that are published by SNS.

  1. Create an SNS Topic
---
Resources:
  MyTopic:
    Type: "AWS::SNS::Topic"
    Properties:
      DisplayName: my-topic-display-name
      TopicName: my-topic-name

In this example, we define an SNS topic named my-topic-name. This topic will be used to publish messages to the SQS queue.

  1. Create a Subscription
---
Resources:
  MySubscription:
    Type: "AWS::SNS::Subscription"
    Properties:
      Protocol: "sqs"
      TopicArn: !Ref MyTopic
      Endpoint: !GetAtt MyQueue.Arn

In this example, we create a subscription that links the SNS topic to the SQS queue. This subscription will forward any messages published to the topic to the SQS queue.

  1. Create a Lambda Function
---
Resources:
  MyLambda:
    Type: "AWS::Lambda::Function"
    Properties:
      FunctionName: my-lambda
      Handler: index.handler
      Role: !GetAtt LambdaExecutionRole.Arn
      Code:
        ZipFile: |
          const AWS = require('aws-sdk');
          exports.handler = async function(event, context) {
            const records = event.Records;
            console.log(`Received ${records.length} records`);
            records.forEach((record) => {
              console.log(`Record body: ${record.body}`);
            });
          };

In this example, we define a Lambda function that will process the messages in the SQS queue. This function logs the message body to the console.

  1. Create an IAM Role for the Lambda Function
---
Resources:
  LambdaExecutionRole:
    Type: "AWS::IAM::Role"
    Properties:
      RoleName: lambda-execution-role
      AssumeRolePolicyDocument:
        Version: "2012-10-17"
        Statement:
        - Effect: "Allow"
          Principal:
            Service: "lambda.amazonaws.com"
          Action: "sts:AssumeRole"
      Policies:
      - PolicyName: "AllowLambdaToAccessSQS"
        PolicyDocument:
          Version: "2012-10-17"
          Statement:
          - Effect: "Allow"
            Action:
              - "sqs:ReceiveMessage"
              - "sqs:DeleteMessage"
            Resource: !GetAtt MyQueue.Arn

In this example, we create an IAM role that will be used by the Lambda function to access the SQS queue. This role allows the Lambda function to receive and delete messages from the queue.

  1. Configure the SNS Topic to Publish to the Queue
---
Resources:
  MyTopicPolicy:
    Type: "AWS::SNS::TopicPolicy"
    Properties:
      PolicyDocument:
        Version: "2012-10-17"
        Statement:
        - Effect: "Allow"
          Principal:
            Service: "sns.amazonaws.com"

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What you’ll learn

  • Pass the AWS Certified Developer Associate Certification (DVA-C02)
  • Full Practice Exam with Explanations included!
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  • Apply the right AWS services for your future real-world AWS projects
  • Deploy an application using Elastic Beanstalk & AWS CICD tools with full automation
  • Understand Serverless API using AWS Lambda, API Gateway, DynamoDB & Cognito
  • Write infrastructure as code using AWS CloudFormation
  • Implement messaging and integration patterns using AWS SQS, SNS & Kinesis
  • Master the CLI, SDK and IAM security best practices in EC2
  • Monitor, Trace and Audit your microservices using CloudWatch, X-Ray and CloudTrail
  • Secure your entire AWS Cloud using KMS, Encryption SDK, IAM Policies & SSM

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