<ol>
	<li>
	This lab walks you through how to build a collection of sample source code input files into a deployable version of source code. You will instruct CodeBuild to use Apache Maven, which is a common build tool, to build a set of Java class files into a Java archive (JAR) file.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through the steps to build RAID 0 and RAID 1 arrays and attach them to an EC2 instance.
	</li>
	<li>
	Duration:&nbsp;45 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Introduction</h1>

<h2>Secrets Manager</h2>

<ul>
	<li>
	AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources.
	</li>
	<li>
	It enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
	</li>
	<li>
	Using Secrets Manager, you can secure, audit, and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises.&nbsp;&nbsp;
	</li>
</ul>

<ul>
	<li>
	You can securely store secrets, such as database credentials too, using built-in integration for Amazon RDS for MySQL, PostgreSQL, and Amazon Aurora.
	</li>
	<li>
	&nbsp;Hard coding secrets or sensitive information is a bad practice as it brings instability and there is a chance of people misusing them whoever gets their hands on them. And AWS Secrets Manager eliminates the need to&nbsp;hardcode sensitive information&nbsp;in plain text.
	</li>
	<li>
	It provides default encryption to your secrets stored in AWS Secrets Manager.
	</li>
	<li>
	Secrets Manager offers pay as you go pricing.
	</li>
</ul>

<h2>AWS DynamoDB</h2>

<ul>
	<li>
	DynamoDB is a fast and flexible NoSQL database designed for applications that need consistent, single-digit millisecond latency at any scale.it is a fully managed database and it supports both document and key value data models.
	</li>
	<li>
	It has a very flexible data model. This means that you don&#39;t need to define your database schema upfront. It also has reliable performance.
	</li>
	<li>
	DynamoDB is a good fit for mobile gaming, ad-tech, IoT and many other applications.
	</li>
</ul>

&nbsp;

<h3>DynamoDB Tables</h3>

DynamoDB tables consist of:

<ul>
	<li>
	Items (Think of a row of data in a table).
	</li>
	<li>
	Attributes ((Think of a column of data in a table).
	</li>
	<li>
	Supports key-value and document data structures.
	</li>
	<li>
	Key= the name of the data.&nbsp; Value= the data itself.
	</li>
	<li>
	Document can be written in JSON, HTML or XML.
	</li>
</ul>

<h2>AWS Lambda</h2>

<ul>
	<li>
	Lambda is a compute service that lets you run code without provisioning or managing servers.&nbsp;
	</li>
	<li>
	With Lambda, you can run code for virtually any type of application or backend service.
	</li>
</ul>

&nbsp;

<h1>Architecture Diagram</h1>

<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_294/image21.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Sign in to AWS Management Console.
	</li>
	<li>
	Create a lambda Function
	</li>
	<li>
	Write a lambda hard-code access keys to create DynamoDB tables and Items.
	</li>
	<li>
	View DynamoDB Table created in console.
	</li>
	<li>
	Write a lambda code to return the table data.
	</li>
	<li>
	Create a Secret Manager to Store Access key and Secret Access keys
	</li>
	<li>
	Write a Lambda code to create DynamoDB Items by retrieving the access keys from Secrets Manager.
	</li>
	<li>
	View DynamoDB Table created in console.
	</li>
	<li>
	Write a lambda code to view the table items using a secret manager.
	</li>
	<li>
	Deleting AWS Resources.
	</li>
</ol>

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_294/image17.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

&nbsp;

<table>
	<tbody>
		<tr>
			<td>
			Note&nbsp;: You can only start one lab at any given time
			</td>
		</tr>
	</tbody>
</table>

&nbsp;

<ol>
	<li>
	This lab walks you through the steps to launch an EC2 instance with an SSM role and install an apache server using a tag-based resource group and AWS Systems manager document.
	</li>
	<li>
	You will practice using an Amazon EC2 with no SSH port and KeyPair.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to deploy sample WordPress applications with AWS CodeDeploy on Amazon EC2 Instance.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to deploy sample containerized&nbsp;applications on ECS using AWS CodeDeploy.
	</li>
	<li>
	Duration:&nbsp;120 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through creating an S3 bucket and trigger lambda function that will send an email notification to the user when we upload or delete an S3 object and testing it in the AWS management console

<ol>
	<li>
	This lab walks you through on how to create an SQS queue and send a message that will trigger a lambda function to store the message in S3 bucket.
	</li>
	<li>
	Duration: 45 minutes
	</li>
	<li>
	AWS Region: US East (N. Virginia)
	</li>
</ol>

This lab walks you through the steps to create AWS S3 bucket and access the bucket using AWS CLI commands from EC2 instance with the help of AWS IAM Role

This Lab walks you through&nbsp; the steps on how to export the DynamoDB table items to a S3 Bucket&nbsp;&nbsp;as JSON file

This Lab walks you through&nbsp; the steps on how to export the DynamoDB table items to a S3 Bucket in csv format

<ol>
	<li>
	This lab walks you through the steps to create an&nbsp;ECS Cluster with t2.micro instance type as container instance.
	</li>
	<li>
	You will practice using Amazon Elastic Container Registry&#39;s repository to push a custom docker image created using Dockerfile. You will also learn how to push the image to the ECR repository.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

This lab walks you through launching of EC2 instance using of AWS Lambda. In this lab, we will create a sample lambda function. This lambda function when triggered will provision an EC2 Instance.

<ol>
	<li>
	This lab walks you through the steps to launch an Amazon DynamoDB table, Configuring DynamoDB Streams and triggering Lambda function to dump the items in the table as a text file and then move the text file to the&nbsp;S3 bucket
	</li>
	<li>
	You will practice it using Amazon DynamoDB, Amazon Lambda function
	</li>
</ol>

This lab walks you through the creation of lambda function and creating versions and alias for your lambda function in CLI from EC2 instance.

<ol>
	<li>
	This lab walks you through the steps to install external libraries to your Lambda function using Cloud9 Environment if your code has additional dependencies on libraries other than the AWS SDK and include them in your deployment package (.zip file).
	</li>
	<li>
	You will practice using AWS Cloud9 and Amazon Lambda.
	</li>
	<li>
	Duration: 45 minutes
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch and configure an HTTPD container&nbsp;on ECS Cluster.
	</li>
	<li>
	You will practice using Amazon Elastic Container Service Cluster by creating Task definitions and&nbsp;Service.&nbsp;
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an Elastic File System.
	</li>
	<li>
	You will launch and configure two Amazon EC2 Instances.
	</li>
	<li>
	You will practice to mount the EFS to both instances by logging into your instance using SSH authentication.
	</li>
	<li>
	You will practice the file share happening between two instances.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to Automate EBS Snapshot Creation using CloudWatch and SNS.
	</li>
	<li>
	You will practice using CloudWatch and SNS.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to launch an EC2 instance and&nbsp; resize the Amazon EBS Volume instance
	</li>
	<li>
	You will practice it using Amazon EBS Volume.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to deploy Blue/Green environment with AWS Elastic Beanstalk
	</li>
	<li>
	You will practice it using AWS Elastic Beanstalk
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create, build and deploy the sample node.js Hello World application using AWS Serverless Application Model (SAM).
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create a Nested stack using cloud formation.
	</li>
	<li>
	In this lab, you will create two separate stacks for Auto Scaling and Load Balancer and attach the Autoscaling group with a Load balancer using Nested stack.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to understand a sample CloudFormation template and update the CloudFormation stack as per the requirements.
	</li>
	<li>
	You will practice using Amazon Machine Images to launch Amazon EC2 Instances and change the instance type as part of the update, replace port 22 with port 80 and finally display the private IP of the EC2 instance as output.&nbsp;All these updates will be created as Change set.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ul>
	<li>
	This lab walks you through the steps to set up a recording configuration setting for AWS Config and Detect the unprotected Security groups present in the account.
	</li>
	<li>
	You will practice using Amazon Config rules to check whether security groups are having a target for SSH as open to the world or not, It&#39;s open then AWS&nbsp;Config will flag them as a non-compliant resource.&nbsp;
	</li>
</ul>

<ol>
	<li>
	This lab walks you through the steps to Enable GuardDuty and create Sample findings.
	</li>
	<li>
	You will practice using Amazon GuardDuty.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create ELB and store ELB access logs in S3 Bucket.
	</li>
	<li>
	In this lab, you will create two EC2 instances and attach them to the Elastic load balancer.
	</li>
	<li>
	Enabling Access logs in ELB to store in S3 Bucket
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to Creating a Schedule on Lambda.
	</li>
	<li>
	You will Practice Scheduling a Lambda Function
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create a step function and integrate it to Lambda function.
	</li>
	<li>
	You will practice using AWS Step Functions.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create a step function and work with different states.
	</li>
	<li>
	You will practice using AWS Step Functions.
	</li>
</ol>

<ol>
	<li>This lab walks you through the steps to create a step function, perform get and put requests to DynamoDB and send the status of the operation using SNS notification.</li>
	<li>You will practice using AWS Step Functions.</li>
	<li>Duration: 45 minutes.</li>
	<li>AWS Region: US East (N. Virginia).</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through creating a private REST API with Amazon API Gateway and AWS lambda
	</li>
	<li>
	You will practice this lab using the services AWS Lambda, Amazon Dyanamo DB, Amazon API Gateway,
	</li>
	<li>
	Duration:&nbsp;1hour
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Introduction</h1>

<h2>Amazon API Gateway</h2>

<ul>
	<li>
	Amazon API Gateway is a&nbsp;fully managed service&nbsp;that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.&nbsp;
	</li>
	<li>
	APIs act as the&nbsp;front door&nbsp;for applications to access data, business logic, or functionality from your backend services.&nbsp;
	</li>
	<li>
	API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control, throttling, monitoring, and API version management.&nbsp;
	</li>
	<li>
	Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications.&nbsp;&nbsp;
	</li>
</ul>

Architecture Diagram

<img alt="" src="https://play.whizlabs.com/frontend/web/media/2021/11/01/api..png" />

<h1>Task Details</h1>

&nbsp;

<ol>
	<li>Sign in to AWS Management Console.</li>
	<li>Create a security group.</li>
	<li>Create a VPC Endpoint.</li>
	<li>Create an Amazon DynamoDB table</li>
	<li>Create a List Lambda Function</li>
	<li>Create a Get Lambda Function</li>
	<li>Create a Update Lambda Function</li>
	<li>Create a Delete Lambda Function</li>
	<li>Create a REST API Gateway</li>
	<li>Create 4 Resources</li>
	<li>Retrieve all items from DynamoDB table</li>
	<li>Retrieve specific item from the DynamoDB table</li>
	<li>Update item from DynamoDB table</li>
	<li>Delete item from DynamoDB table</li>
</ol>

&nbsp;

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_15/screenshot_2022-05-24_at_10.49.31_pm.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

Note&nbsp;: You can only start one lab at any given time

This lab walks you through the steps to launch the Amazon Aurora RDS DB instance with multi-AZ enabled and simulate failover.

<ol>
	<li>
	This lab walks you through the steps to Creating RDS Backup Database Snapshots.&nbsp;
	</li>
	<li>
	You will practice using the Databases..
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps of connecting Amazon EC2 with Amazon RDS Instance.&nbsp;
	</li>
	<li>
	We will create a EC2 instance under public subnet and an Amazon RDS in new Subnet Group.
	</li>
</ol>

This lab walks you through Amazon CloudFront creation and working. In this lab, you will create an Amazon CloudFront distribution. It will distribute a publicly accessible image file stored in an Amazon S3 bucket.

<ol>
<li>
This lab walks you through the steps to add origin EC2 Public IPv4 DNS and S3 bucket endpoint as the origin in CloudFront distribution. And club both of these together in Origin Groups.
</li>
<li>
Duration:&nbsp;90 minutes
</li>
<li>
AWS Region:&nbsp;US East (N. Virginia) us-east-1
</li>
</ol>

This lab walks you through the steps to create and configure a network load balancer.

<ol>
	<li>
	This lab walks you through the steps to Create an Application Load Balancer from AWS CLI
	</li>
	<li>
	You will practice it using AWS EC2 and AWS Load Balancing
	</li>
</ol>

This lab walks you through the steps to Create Resources and Methods in API Gateway

<ol>
	<li>
	This lab walks you through the steps to create an API Gateway with two different stages and integrate it to two different lambda functions.
	</li>
	<li>
	You will practice using Amazon API Gateway.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create an API Gateway with path and query string parameter and integrate it to Lambda function.
	</li>
	<li>
	You will practice using Amazon API Gateway.
	</li>
</ol>

This lab walks you through the steps to create Cloudtrail and cloudwatch log group and create a metric filter to receive the alarm from Cloudwatch via SNS topic

This lab walks you through&nbsp;installing the CloudWatch Logs Agent on an EC2 instance and using it to view metrics. This can be very helpful when testing your application.

<ol>
	<li>
	This lab walks you through the steps to launch an EC2 instance with SSM role and then connect to the EC2 via AWS Session manager and view the logs in Cloudwatch.
	</li>
	<li>
	You will practice using an Amazon EC2 with no SSH port and KeyPair.
	</li>
</ol>

This lab walks you through the steps to Create a Network Monitoring System Using AWS VPC Flow Logs and CloudWatch.

This lab walks you through the steps to deploy the sample web application using CloudFormation and monitor it using AWS X-Ray.

<ol>
	<li>
	This lab walks you through creating a real time data streaming system using Amazon Kinesis Data Streams (KDS).
	</li>
	<li>
	You will practice this lab using the services Amazon Kinesis, AWS Lambda, Amazon S3 and IAM.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to query the data present in S3 Bucket with Amazon Athena.&nbsp;
	</li>
	<li>
	You will practice using Amazon Athena to create a table with a CSV file present in the S3 bucket and query using SQL statements.
	</li>
	<li>
	Duration:&nbsp;1 hour
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the&nbsp;Deployment of sample Node.js application&nbsp;stored in S3 Bucket via CodePipeline. You will first create a sample Node.js application with Elastic Beanstalk, then overrides using CodePipeline.
	</li>
	<li>
	You will also create an SNS topic with email as a subscription and CloudWatch event for the same.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through creating and monitoring &nbsp;Resilient System Architecture Using EC2, RDS Multi-AZ, CloudWatch and SNS.
	</li>
	<li>
	You will practice this lab using the services Amazon EC2, Amazon RDS, Amazon VPC, CloudWatch&nbsp;and SNS.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to create and configure an Amazon EC2 Auto Scaling with&nbsp;Launch templates using the AWS Management Console.&nbsp;
	</li>
	<li>
	You will practice using Amazon Machine Image (AMI) to launch Amazon EC2&nbsp;Instances&nbsp;using Launch templates and will use key pairs for SSH authentication to log into your instance.
	</li>
	<li>
	You will create a web page and publish it.
	</li>
	<li>
	Duration:&nbsp;55 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia)
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through the AWS CodeCommit, AWS CodeDeploy and AWS CodePipeline. You will create a continuous delivery pipeline where any changes in CodeCommit will trigger the CodePipeline and push the change in the EC2 Instance.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Introduction</h1>

<h2>AWS CodeCommit</h2>

<ol>
	<li>
	AWS CodeCommit is a version control infrastructure service provided by AWS which is used to store your data such as documents, files and source code securely and privately in the cloud i.e in-house repository.
	</li>
	<li>
	It is a managed service with the standard functionality of GIT which also works seamlessly with existing GIT repositories.
	</li>
	<li>
	It can store any type of code with any type of extension securely with fewer restrictions.
	</li>
	<li>
	The data which is stored in the AWS CodeCommit is encrypted so that it is highly secure and less vulnerable to external attacks.
	</li>
	<li>
	It allows access control in order to work in a collaborative environment.
	</li>
	<li>
	It can be easily scaled.
	</li>
	<li>
	It allows us to integrate the data with other third-party tools.
	</li>
</ol>

<h2>AWS CodeDeploy</h2>

<ol>
	<li>
	AWS CodeDeploy helps you automate your application deployment of a variety of computing services such as Amazon EC2, AWS Lambda, AWS Fargate, and on-premise servers.
	</li>
	<li>
	Using CodeDeploy, we can deploy the following types of content:

	<ul>
		<li>
		Code
		</li>
		<li>
		Serverless AWS Lambda functions
		</li>
		<li>
		Web and Configuration files
		</li>
		<li>
		Executables Packages
		</li>
		<li>
		Scripts
		</li>
		<li>
		Multimedia files
		</li>
	</ul>
	</li>
	<li>
	The source code of the application can be stored in S3 Bucket, CodeCommit or any git-based repository such as GitHub or BitBucket.
	</li>
	<li>
	CodeDeploy helps us in rapidly releasing new features, updating AWS Lambda functions version, to avoid downtime during application deployments and handle the complexity of applications deployments where manual deployments are error-prone.
	</li>
	<li>
	To work with various systems for configuration management, source control, Continuous Integration (CI) and Continuous Delivery (CD), you can use CodeDeploy.
	</li>
	<li>
	CodeDeploy can be used for the following types of deployment:

	<ul>
		<li>
		Applications that require servers like Amazon EC2 and On-premise servers.
		</li>
		<li>
		Applications that are serverless, using AWS Lambda.
		</li>
		<li>
		Containerized applications deployed on Amazon ECS.
		</li>
	</ul>
	</li>
	<li>
	AWS CodeDeploy supports two types of deployment:

	<ul>
		<li>
		In-place deployment:&nbsp;For this method, you stop the deployment of applications present on every instance and install a revised application. Once the newer version of the application is deployed the application starts and gets validated.&nbsp;

		<ul>
			<li>
			Note: AWS Lambda and Amazon ECS deployments, do not support in-place deployments.
			</li>
		</ul>
		</li>
		<li>
		Blue-green deployment:&nbsp;For this deployment type, the characteristics of deployment depend on the type of computing platform used for deployment.

		<ul>
			<li>
			EC2 or On-premise platform
			</li>
			<li>
			AWS Lambda
			</li>
			<li>
			Amazon ECS
			</li>
		</ul>
		</li>
	</ul>
	</li>
</ol>

<h2>AWS CodePipeline</h2>

<ol>
	<li>
	AWS CodePipeline helps you in modeling, visualizing, and automating the steps required to continue delivering the release of your software.
	</li>
	<li>
	Using AWS CodePipeline, you can create and configure various stages of a software release process. It helps you automate the delivery of software having a frequent release.
	</li>
	<li>
	AWS CodePipeline can help you do various tasks, such as:

	<ul>
		<li>
		Automating release process of software delivery
		</li>
		<li>
		View pipeline history details
		</li>
		<li>
		Customize the stages and action
		</li>
		<li>
		Choose the source, build and deploy stage.
		</li>
		<li>
		Add the manual approval for the release process.
		</li>
		<li>
		Integration with various AWS Services.
		</li>
	</ul>
	</li>
	<li>
	AWS CodePipeline at a glance.
	</li>
</ol>

<ul>
	<li>
	Source:&nbsp;A place where source code with its revisions is stored. It can be Amazon S3 Bucket, CodeCommit repository, or Git-based repositories such as GitHub and Bitbucket.
	</li>
	<li>
	Build:&nbsp;In this phase, the buildspec.yml file plays a very important role. This is the phase where software is tested and build.&nbsp;
	</li>
	<li>
	Staging:&nbsp;A place where code is deployed into a testing environment or also called a pre-production environment. You use this phase to test the software before making it live for public users. This is an optional stage if the application is well tested before uploading to the source.
	</li>
	<li>
	Manual approval:&nbsp;This phase helps software engineers to get the approval for the code, deployed and well tested into the testing environment. It uses SNS to get the approvals on the email. This is the optional stage.
	</li>
	<li>
	Deploy:&nbsp;The last phase for the delivery of software. Using AWS CodePipeline, applications can be deployed on Amazon EC2 Instances using CodeDeploy, Elastic Beanstalk, or AWS OpsWorks Stacks.&nbsp;
	</li>
</ul>

<h1>Architecture Diagram</h1>

<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_285/aws-archi-diagram.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Sign into AWS management console.
	</li>
	<li>
	Create AWS CodeCommit Repository.
	</li>
	<li>
	Add sample code to AWS CodeCommit.
	</li>
	<li>
	Launching an EC2 Instance and install CodeDeploy Agent.
	</li>
	<li>
	Create AWS CodeDeploy Application.
	</li>
	<li>
	Create appspec.yml file for CodeDeploy.
	</li>
	<li>
	Create AWS CodePipeline.
	</li>
	<li>
	Verify application deployment.
	</li>
	<li>
	Deleting AWS Resources.
	</li>
</ol>

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_15/screenshot_2022-05-24_at_10.49.31_pm.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

Note&nbsp;: You can only start one lab at any given time

<ol>
	<li>
	This lab walks you through the&nbsp;Deployment of sample python&nbsp;application&nbsp;stored in S3 Bucket via CodePipeline. You will first create a sample PHP application with Elastic Beanstalk, then override using CodePipeline.
	</li>
	<li>
	Duration:&nbsp;60 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through how to create a&nbsp;two-stage pipeline that uses an Amazon S3 bucket having versioning enabled and uses&nbsp;AWS CodePipeline to deploy a sample application.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>This lab will walk you through the steps to create a SQS Queue, set visibility and delivery delay time. Send a message from the queue and receive the message in lambda function.</li>
</ol>

<ol>
	<li>This lab walks you through the creation of an RDS MySQL Database, creating a table and inserting some values using MySQL Workbench. Now we will create a Cloudwatch event that will trigger Lambda function every 1 minute and copy the RDS Table data to DynamoDB Table.</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to Creating SQS with Lambda Function and Check CloudWatch Logs.
	</li>
	<li>
	You will Practice using SQS with Lambda and CloudWatch.
	</li>
</ol>

This lab walks you through the provisioning of an EC2 instance using an AWS CloudFormation template.

<ol>
<li>Region&nbsp;: Make sure to use&nbsp;<kbd>us-east-1</kbd>&nbsp;region to create all the resources.</li>
<li>You will be provided with the requirements of the challenge. If you are new to AWS Cloud, we recommend you go through our hands-on Labs before taking this challenge.</li>
<li>Challenge Duration:&nbsp;<kbd>60&nbsp;minutes</kbd></li>
</ol>

This lab walks you through the steps to block web traffic with WAF (web application firewall) in AWS.

This Lab walks you through the steps on how to create a VPC and launch an instance in it and test the EC2 instance then, we will create a custom NACL and attach it to the Subnet. We will not be able to test the lab and once we add the required routes to the NACL&nbsp;we will be able to test the EC2 with the new NACL in AWS Management Console.

<ol>
	<li>
	This lab walks you through the steps to Creating VPC and VPC Flow Logs.
	</li>
	<li>
	You will Practice VPC Flow Logs with VPC
	</li>
</ol>

<ol>
	<li>
	This lab walks you through to upload a csv file containing server details (Name, CPU utilization, Memory usage and location ) to a S3 bucket and trigger a Lambda function to upload the data in the csv file to DynamoDB table. Then send an email notification to a user if server cpu or memory utilization is critical. You will also be provided with a simple dashboard to view the DynamoDB table data by using AWS Cognito Identity Pool.
	</li>
	<li>
	You will practice the project using Lambda, SNS, DynamoDB, S3 and Cognito ID.</li>
</ol>

<ul>
<li>Enroll in our AWS Certified DevOps Engineer Professional (DOP-C02) course to master the essentials of DevOps for AWS and become a professional cloud DevOps engineer.</li>
<li>This course helps you to demonstrate DevOps skills such as operating, provisioning, managing distributed systems and applications, automating the testing and deployment of AWS infrastructure and applications.</li>
<li dir="ltr" aria-level="1">
You will get immense knowledge from the video lectures, dop-c02 practice exam and dop-c02 hands on labs to help you prepare for all the exam objectives in this aws devops certification course.
</li>
</ul>
Latest Updates: 
The AWS Certified DevOps Engineer Professional (DOP-C01) certification exam is undergoing changes and will be updated on March 7, 2023.
The final opportunity to take the current version of the exam is on March 6, 2023. AWS DevOps Pro Exam Code will change from DOP-C01 to DOP-C02.

<ol>
	<li>
	This lab walks you through the steps to create an Amazon ECS Sample App using first-run wizard..
	</li>
	<li>
	You will practice using Fargate to create and configure Task Definition, Service and Cluster.
	</li>
</ol>

This lab walks you through the steps to monitor the Unrestricted Security group and public S3 Bucket with the help of AWS Trusted Advisor.

This lab walks you through the various CloudWatch features available which are used for resource monitoring.

<h2>Cloud Sandbox</h2>

Ready to try Cloud Sandbox for yourself?

&nbsp;

<ul>
	<li>Using this feature you will be able to spin up an Isolated AWS Cloud Environment, in which you can perform various activities.</li>
	<li>You can use Cloud Sandbox to follow instructions for&nbsp;Sandbox Enabled&nbsp;Video Course.</li>
</ul>

AWS Certified DevOps Engineer Professional

A cloud sandbox is a virtual environment that simulates environment for testing, development, and experimentation purposes. The cloud sandbox can be used to test new applications, try out different configurations, or practice cloud skills.
Access the benefits of Cloud Sandbox along with the Video Course of AWS Certified DevOps Engineer Professional course and explore real-time.

These practice tests are designed by our experts to simulate the real exam format. Here, you will get unlimited access to 5 practice tests with 80 unique questions in each and 1 free test with 15 questions. Also, you will get 7 domain-specific practice tests with 10 to 20 questions.&nbsp;

Practice Tests

Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs AWS DevOps Engineer Professional practice tests.

AWS DevOps Engineer Professional Practice Tests - Whizlabs

We suggest that you go through all the training videos and take up the practice tests to get fully prepared for the AWS DevOps Engineer Professional certification exam. In this video course, you will get a total of 93 lectures with 14+ hours of video content that cover the entire AWS Certified DevOps Engineer Professional certification exam objectives.&nbsp;

Online Course

Have helped over 1.5 million AWS experts in their certification exam preparation. Enrol now for AWS DevOps Engineer Professional online course.

AWS DevOps Engineer Professional Online Course - Whizlabs

Free Test

Preparing for AWS DevOps Engineer Professional certification exam? Check your current preparation level with AWS DevOps Engineer Professional free test. Try now!

AWS DevOps Engineer Professional Free Test - Whizlabs

AWS DevOps Engineer - Professional Certification (DOP-C02)

Prepare for the AWS DevOps Engineer - Professional (DOP-C02) exam with hands-on labs, expert videos & practice tests. Achieve your certification now!

Practice Exams, Video Lectures and Hands-on Labs

5 Full-length Mock Exams (400+ Unique dop-c02 practice exam questions)

13+ hours of Training Videos for all the certification exam objectives You will be amazed by the way of explaining the concepts that are very easy to understand

labs to test your knowledge on AWS environment. Covering all the important topics like EC2, IAM, Aurora, Cloudwatch, Alarms etc.

8 section quizzes (75+ questions for dop-co2 exam)

Our support team consists of AWS Experts, ready to clarify all your questions.

AWS Certified DevOps Engineer Professional Exam Feedback</a> from Our Customers

<ol>
	<li>
	This lab walks you through the steps to launch&nbsp;the EC2 instance and configure an Inspector with an Assessment target and template.
	</li>
	<li>
	You will practice using Amazon&nbsp;Inspector target as EC2 Instance having AWS Agent installed. Once the Assessment target and template are created, you will run the template to find the vulnerabilities on the configured instance.&nbsp;
	</li>
</ol>

<ol>
<li>
This lab walks you through launching EC2 Instances with SSM Role and installing the SSM agent using User data script.
</li>
<li>
We will be installing the Amazon Inspector agent on EC2 Instances using AWS Systems manager Run command.
</li>
<li>
The agent will enable EC2 instances to communicate with the Amazon Inspector service.
</li>
<li>
We will run the security assessments using Amazon Inspector and create a patch baseline using AWS Systems manager Automation feature.
</li>
<li>
You will practice in the lab using AWS CLI.
</li>
</ol>

<ol>
	<li>
	This lab walks you through the steps to store the sample data in AWS Systems Manager&#39;s Parameter Store&nbsp;and View the data from CloudShell CLI.
	</li>
	<li>
	You will also practice storing encrypted data (Secure string) in SSM Parameter Store and data will be encrypted&nbsp;by AWS KMS.
	</li>
	<li>
	Duration:&nbsp;45&nbsp;minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

AWS Certification Training Courses

AWS Cloud Practitioner certification demonstrates and validates your knowledge on the overall understanding of AWS Cloud Platfoliyo

Google Cloud Certifications

DevOps Certifications

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Azfar Hossain

Overal I would say it was a satisfactory experience when considering WhizLab as my certification preparation source. However, the contents did not seem to be up to date. This needs to be updated pretty frequently

Couse and Practice Test Content

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Priyesh Soni

With the help of Whuzlabs I have passed three certifications of Aws Cloud. which there are professional level exams The hands on labs and their description explorations are great. I would suggest any IT professional to try out whizlabs once.

It proved very helpful.

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HEERA SHARMA

Great content and great breadth and depth.

ashish dubey

Awesome Training

Claison Amorim

Using the WhizLabs platform was one of the best decisions I made during my Cloud certification journey. The content is extremely well-structured, consistently updated with the latest exam trends and requirements, and the practice tests are a true standout — they genuinely simulate the exam environment with great accuracy. Moreover, the way the platform combines theory and hands-on practice significantly accelerates learning and helps reinforce concepts deeply. Without a doubt, WhizLabs played a key role in my certification success, and I highly recommend it to anyone preparing for Cloud certification exams.

Great experience

Mason Cahill

Great practice tests

Karthikeyan  Shanmugam

I could see the training material and Hands on Lab are really useful. The mock exams and Azure/AWS sandbox training is providing the real time environment and experiences.

Excellent online learning platform

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Anusapriya Shanmugam

venkatesan Shanmugasundaram

I have been using Whizlabs past 7 years experience and this platform has good practice test and course martials .

Good practice test and courses

Prabakaran N

I have been used whizlabs for couple of AWS exam and Terraform exam preparation. The Question and explanation was easy to understand. Q&A section for each question provide more interactions and get clarity.

My Preferred Choice for AWS Exam preparation

Dear User,
Greetings from Whizlabs!
Thank you for sharing your feedback with us. We greatly value your input as it helps us improve our platform and services.
If you need any assistance, please don't hesitate to reach out. We're here to support you in your learning journey.
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sachin k

Aws Certified DevOps Engineer has very useful video content along with the labs. These helped me get a good grasp on how the AWS services work and how to properly utilize in a more efficient way.