Create Linux EC2 Instance(virtual server with AWS
Step 1: Sign in to the AWS Management Console To kickstart the process, navigate to the AWS Management Console and sign in with your AWS account credentials. If you don't have an account yet, you can create one easily.
Step 2: Navigate to the EC2 Dashboard Once logged in, locate and click on the "Services" dropdown menu at the top-left corner of the console. From the list of services, select "EC2" under the "Compute" category. This will take you to the EC2 Dashboard.
Step 3: Launch Instance On the EC2 Dashboard, locate the "Instances" section and click on the "Launch Instance" button. This initiates the process of creating a new EC2 instance.
Step 4: Choose an Amazon Machine Image (AMI) An Amazon Machine Image (AMI) is a pre-configured template used to create an EC2 instance. In this step, you'll need to select a Linux-based AMI. Popular choices include Amazon Linux, Ubuntu Server, and CentOS. Choose the AMI that best suits your requirements and click "Select".
Step 5: Choose an Instance Type Next, you'll need to choose an instance type based on your computing needs. For beginners and small-scale applications, a t2.micro instance type is often sufficient. This instance type is eligible for the AWS Free Tier, allowing you to explore AWS services at no cost initially. Select your desired instance type and click "Next: Configure Instance Details".
Step 6: Configure Instance Details In this step, you can configure additional settings such as the number of instances, network settings, and IAM role. For most basic setups, you can leave these settings as default. Click "Next: Add Storage" when you're ready to proceed.
Step 7: Add Storage Configure the storage settings for your instance. By default, EC2 instances come with a root volume that provides the operating system's storage. You can adjust the size of the root volume or add additional volumes as needed. Once configured, click "Next: Add Tags".
Step 8: Add Tags (Optional) Tags are key-value pairs that help you organize and manage your AWS resources. While adding tags is optional, it's a good practice to assign meaningful tags to your resources for easier identification and management. Click "Next: Configure Security Group" when done.
Step 9: Configure Security Group. A security group acts as a virtual firewall that controls the traffic to your EC2 instances. You need to define rules that allow inbound and outbound traffic to and from your instance. At a minimum, ensure that port 22 (SSH) is open to your IP address to allow SSH access for managing the instance. Optionally, you can open ports 80 (HTTP) and 443 (HTTPS) for web traffic if your instance will be hosting a web server. Review your security group settings and click "Review and Launch".
Step 10: Review and Launch Review the configuration details of your instance to ensure everything is set up as desired. If everything looks good, click "Launch" to proceed.
Step 11: Create a Key Pair Before launching the instance, you'll be prompted to select an existing key pair or create a new one. A key pair consists of a public key and a private key. The private key is used to securely connect to your instance via SSH, while the public key is automatically deployed on the instance to authenticate the SSH connection. Choose an existing key pair or create a new one, then click "Launch Instances".
Step 12: Access Your Instance Once your instance is launched successfully, you'll be redirected to the Instances dashboard, where you can view details about your instance. To access your instance via SSH, you'll need the private key associated with the key pair you selected or created. Use a terminal application and the SSH command to connect to your instance using the public IP address or public DNS provided in the console.
Congratulations! You've successfully created a Linux EC2 instance on AWS. You can now start exploring and utilizing the vast array of AWS services to host websites, run applications, store data, and much more. Remember to monitor your resources and manage them efficiently to optimize costs and performance. Happy cloud computing!
