Learn automating AWS infrastructure by Terraform, CICD, K3S

In this Udemy course, we will guide you through the process of setting up your AWS Free Tier account specifically tailored for our course. We will provide you with step-by-step instructions on how to create your account, navigate the AWS Management Console, and access the services and resources available under the Free Tier.

By setting up your AWS Free Tier account, you will gain hands-on experience in a cost-effective environment, allowing you to follow along with the course content without incurring significant charges. This initial setup will provide you with the necessary foundation to explore and experiment with various AWS services throughout the course.

In this tutorial, we will guide you through the process of setting up your AWS Billing. Properly configuring your AWS Billing is an essential step to effectively manage your AWS usage and costs.

By understanding the process of  AWS Billing, you will gain valuable insights into your AWS spending, enabling you to optimize costs, allocate resources efficiently, and make informed decisions about your AWS infrastructure.

Join us as we demystify the complexities of AWS Billing and empower you to take full control of your AWS usage and costs.

In this tutorial, we will walk you through the process of manually creating an IAM user using the AWS Web Console. The IAM (Identity and Access Management) service in AWS allows you to manage users and their permissions.

We will cover the step-by-step process of creating an IAM user, including selecting appropriate access policies, setting up login credentials, and configuring additional security options like multi-factor authentication (MFA). By manually creating an IAM user through the Web Console, you will have granular control over the user's permissions and can customize their access to various AWS services.

Whether you are new to AWS or an experienced user, understanding how to manually create an IAM user through the Web Console is a fundamental skill in managing user access and security within your AWS environment.

Join us as we guide you through this tutorial, equipping you with the knowledge to confidently create IAM users manually using the AWS Web Console.

In this tutorial, we will guide you through the process of manually creating an IAM user using the AWS Web Console and also show you how to create an inline policy to enforce Multi-Factor Authentication (MFA) at the CLI (Command Line Interface) level.

IAM (Identity and Access Management) in AWS allows you to manage users and their permissions. We will cover the step-by-step process of creating an IAM user through the Web Console, including setting up login credentials and selecting appropriate access policies.

Additionally, we will demonstrate how to create an inline policy that enforces MFA at the CLI level. This policy ensures that users must authenticate with an additional factor, such as a virtual MFA device or a hardware token, before accessing AWS resources via the CLI.

By combining the manual creation of an IAM user and the enforcement of MFA at the CLI level, you can enhance the security of your AWS environment and protect sensitive resources from unauthorized access.

Join us in this tutorial as we provide you with comprehensive instructions on creating an IAM user through the Web Console and implementing a robust MFA policy at the CLI level, empowering you to strengthen the security of your AWS infrastructure.

In this tutorial, we will walk you through the process of configuring an AWS profile in the Command Line Interface (CLI).

Configuring an AWS profile allows you to manage multiple AWS accounts and access keys conveniently, making it easier to switch between different environments or projects. By setting up an AWS profile, you can store your AWS access key, secret access key, and region preferences in a named profile, streamlining your CLI interactions with AWS services.

We will cover the steps required to create and configure an AWS profile, including installing and configuring the AWS CLI, creating a named profile with the necessary credentials, and specifying the default region for the profile.

By properly configuring your AWS profile in the CLI, you can enhance your productivity and efficiently interact with AWS services directly from your command line, enabling seamless integration with your development workflows and automation processes.

Join us in this tutorial as we guide you through the process of setting up and configuring an AWS profile in the CLI, empowering you to harness the full potential of the AWS CLI for managing and interacting with your AWS resources.

In this simple Terraform demonstration, we will showcase how Multi-Factor Authentication (MFA) can be enforced at the Command Line Interface (CLI) level. MFA adds an additional layer of security by requiring users to provide an extra authentication factor, such as a time-based one-time password (TOTP), in addition to their regular credentials.

Using Terraform, we will guide you through the process of creating a basic infrastructure setup. We will set up an IAM user, attach an MFA device to the user's account, and configure a policy that enforces MFA for CLI access.

You will witness how the Terraform configuration creates the IAM user and policy, associates the MFA device with the user, and sets up the policy to require MFA for CLI access. We will demonstrate how this policy restricts CLI access to users who have successfully authenticated with the MFA device, adding an extra layer of protection to your AWS resources.

By the end of this demonstration, you will have a clear understanding of how Terraform can be utilized to enforce MFA at the CLI level, ensuring that only authorized users with valid MFA credentials can access and interact with your AWS infrastructure.

Join us in this simple Terraform demo as we showcase the power and security benefits of enforcing MFA at the CLI level using Terraform, empowering you to enhance the protection of your AWS environment.

In this tutorial, we will guide you through the process of creating an AWS IAM user with a restrictive inline policy. This policy will only grant access to specific resources, such as EC2 instances of the t3a.medium instance type, one parameter in AWS Systems Manager (SSM), and selected security groups.

By creating a restrictive inline policy, you can finely control the permissions granted to the IAM user, ensuring they have access only to the necessary resources and actions required for their tasks.

We will cover the step-by-step process of creating the IAM user, attaching the inline policy, and configuring the policy to allow access to EC2 instances of the t3a.medium instance type, a specific parameter in SSM, and selected security groups. You will learn how to define the appropriate permissions and resource restrictions in the policy to achieve the desired level of access control.

By the end of this tutorial, you will have a clear understanding of how to create an IAM user with a restrictive inline policy, allowing them access to specific EC2 instances, one SSM parameter, and chosen security groups. This level of granularity in access control ensures better security and minimizes the risk of unauthorized access to your AWS resources.

Join us in this tutorial as we walk you through the process of creating a restrictive IAM user with an inline policy, empowering you to establish precise access controls for your AWS environment.

In this tutorial, we will guide you through the process of creating an Amazon S3 bucket specifically designed for storing Terraform remote state. The remote state feature in Terraform allows you to store and share your infrastructure state files in a secure and centralized location.

We will cover the step-by-step process of creating the S3 bucket in the AWS Management Console. You will learn how to configure the bucket settings, such as its name, region, and access permissions, to ensure it is optimized for storing Terraform remote state files.

By creating an S3 bucket dedicated to Terraform remote state, you can securely store and retrieve your infrastructure state files, enabling collaboration and easier management of your Terraform deployments.

In this tutorial, we will guide you through the process of setting up an Amazon S3 bucket to serve as the backend for Terraform remote state. Terraform's remote state feature allows you to store and share the state file in a centralized and secure location.

We will cover the step-by-step process of creating an S3 bucket in the AWS Management Console specifically tailored for Terraform remote state. You will learn how to configure the bucket settings, such as its name, region, and access permissions, to ensure it is optimized for storing and managing your Terraform state files.

Additionally, we will explore the necessary Terraform configuration to establish the S3 bucket as the backend for your Terraform state. You will understand how to specify the bucket details in your Terraform code and initialize the backend configuration.

By setting up an S3 bucket for Terraform remote state, you can enjoy the benefits of centralized state management, secure version control, and easy collaboration in your infrastructure provisioning workflows.

Join us in this tutorial as we walk you through the process of setting up an S3 bucket for Terraform remote state, empowering you to streamline your Terraform deployments and enhance the efficiency and reliability of your infrastructure management.

Note: The purpose of this tutorial is to demonstrate the process of creating two IAM users using Terraform. It is important to note that in a real-world scenario, IAM user creation and management should follow organizational security best practices. These practices may include adhering to naming conventions, implementing proper access controls, regularly rotating credentials, and enforcing strong security policies. It is crucial to customize and adapt the Terraform code provided in this tutorial to align with your organization's specific requirements and security guidelines.

IAM (Identity and Access Management) plays a crucial role in managing user access and permissions within AWS. By using Terraform, you will learn how to define the desired configuration for IAM users, their associated policies, and access controls in a declarative manner.

Throughout this course, we will guide you through the process of setting up your Terraform environment, defining the necessary IAM user resources, and deploying them to AWS. You will witness firsthand how Terraform simplifies and streamlines the creation of IAM users, saving you time and effort compared to manual user provisioning.

IAM (Identity and Access Management) plays a crucial role in managing user access and permissions within AWS. By using Terraform, you will learn how to define the desired configuration for IAM users, their associated policies, and access controls in a declarative manner.

Throughout this course, we will guide you through the process of setting up your Terraform environment, defining the necessary IAM user resources, and deploying them to AWS. You will witness firsthand how Terraform simplifies and streamlines the creation of IAM users, saving you time and effort compared to manual user provisioning.

The final AWS Terraform infrastructure represents the culmination of our course's objectives. Throughout the course, we have meticulously designed and provisioned a comprehensive infrastructure using Terraform, an infrastructure as code tool.

Our final infrastructure is a robust and scalable environment that encompasses various AWS services and resources. We have leveraged Terraform to define and manage virtual private clouds (VPCs), subnets, security groups, EC2 instances, and more. Each component is meticulously configured to meet specific requirements and ensure optimal performance, security, and scalability.

By employing Terraform's declarative syntax and automation capabilities, we have eliminated manual intervention and streamlined the infrastructure provisioning process. This approach enables efficient deployment, version control, and collaborative development, making it easier to manage and scale the infrastructure as needs evolve.

In this course, "Deploy AWS Infrastructure Via Terraform," we will guide you through the process of deploying your AWS infrastructure using Terraform, an infrastructure as code tool. With Terraform, you can define and manage your infrastructure as code, allowing for consistent and reproducible deployments.

In this lecture, "Understanding Bash AWS User Data Scripts to Start Kubernetes (K3S) Cluster," we will delve into the world of AWS user data scripts and how they can be used to automate the setup of a Kubernetes (K3S) cluster.

AWS user data scripts provide a powerful way to configure instances at launch time. We will explore how to leverage bash scripting to write user data scripts that automate the installation and initialization of a K3S cluster on AWS EC2 instances.

Throughout the course, we will cover the fundamentals of user data scripts, including syntax, variable substitution, and executing commands. You will learn how to configure EC2 instances to automatically download and execute the user data script, resulting in a fully functional K3S cluster.

By understanding the intricacies of AWS user data scripts and their application to start a K3S cluster, you will gain valuable insights into automating the setup of Kubernetes infrastructure, making it easier and more efficient to deploy and manage containerized applications.

In this tutorial, we will explore different methods to access and manage EC2 instances in AWS. We will cover SSH (Secure Shell) and SSM (Systems Manager) as two key methods for connecting to and interacting with EC2 instances. Additionally, we will demonstrate how IAM roles can be used to provide secure and granular access to EC2 instances.

Furthermore, we will showcase how to locate and manage EC2 instances within the AWS Management Console. These instances will be deployed using Terraform, an infrastructure as code tool that allows for consistent and automated provisioning of AWS resources.

By delving into these topics, you will gain a comprehensive understanding of accessing and managing EC2 instances through SSH, SSM, IAM roles, and the AWS Console. This knowledge will empower you to effectively work with EC2 instances, ensuring secure access and efficient management within your AWS environment.

In this demonstration, we will walk you through the process of testing a simple Kubernetes deployment. We will utilize two powerful tools, namely kubectl and Helm, to showcase the flexibility and efficiency of managing Kubernetes resources.

Using kubectl, the command-line interface for Kubernetes, we will interact with the Kubernetes cluster, executing various commands to check the status of pods, services, and deployments. We will also showcase how to apply changes to the deployment configuration and observe the effects in real-time.

To further enhance our deployment capabilities, we will integrate a bit of Helm, the package manager for Kubernetes, into the process. Helm simplifies the management and deployment of applications by packaging them as reusable charts. We will demonstrate how to leverage Helm to install and upgrade a sample application, taking advantage of its templating and versioning features.

By combining the power of kubectl and Helm, you will gain practical insights into testing Kubernetes deployments efficiently and ensuring the smooth operation of your applications. Join us in this demonstration as we navigate the Kubernetes ecosystem, providing you with valuable knowledge and hands-on experience for successful deployment testing using kubectl and Helm.

In this lecture, we will explore the integration of GitHub Actions and create a CI/CD (Continuous Integration/Continuous Deployment) pipeline to automate the execution of Terraform. GitHub Actions is a powerful workflow automation platform that allows you to build, test, and deploy your code directly from your GitHub repository. By setting up a GitHub Action CI/CD pipeline, you can automatically trigger Terraform workflows whenever changes are made to your infrastructure code, ensuring consistent and efficient deployments. Join us in this tutorial as we demonstrate the seamless integration of GitHub Actions and Terraform, empowering you to automate your infrastructure deployments and streamline your development workflows.

Deactivating AWS access keys is an important security measure to protect your AWS resources. When access keys are deactivated, they are no longer valid for authentication, preventing unauthorized access to your AWS account. By deactivating access keys that are no longer in use or compromised, you reduce the risk of potential security breaches. To deactivate access keys, you can use the AWS Management Console, AWS CLI, or AWS SDKs, ensuring that only valid and secure access keys are associated with your AWS account.

As we near the end of our AWS journey, it is essential to perform a final clean-up of our AWS resources to optimize costs and maintain a tidy environment. Through proper clean-up procedures, we can identify and terminate any unnecessary or unused resources, reducing unnecessary expenses. Additionally, we will explore AWS billing and delve into cost exploration tools to gain insights into our usage patterns, identify cost drivers, and optimize our AWS spending. By conducting a thorough clean-up and exploring AWS billing, we can ensure cost efficiency and responsible resource management within our AWS infrastructure.

It is highly recommended to delete the AWS access keys associated with the root user for enhanced security. The root user has full administrative privileges, and having active access keys increases the risk of unauthorized access or potential security breaches. By deleting the root user's access keys, you mitigate these risks and reinforce the security of your AWS account. It's important to note that access keys for the root user should only be used in exceptional cases, and it is generally advisable to use IAM users with appropriate permissions for day-to-day operations.