How to Create an Instance

This document provides details on how to set up an ec2-sandbox for use as a remote development environment.

Prerequisites

Before creating the ec2-sandbox, first decide on the region to launch in and create resources for the following items.

1. VPC Creation

Please create or verify following these steps:

• Skip this step if you already have a complete set of VPC resources in use
• Create a VPC and Public/Private subnets for launching the ec2-sandbox
• If you launch the ec2-sandbox instance within a private network in a VPC, you need to place a NAT Gateway in a public subnet to enable communication with the internet

For specific configuration details, please refer to Overview and Configuration.

2. Instance Role Creation

Create an instance role to enable the ec2-sandbox to use AWS CLI and various AWS services.

Item	Content	Notes
Role Name	ec2-sandbox-instance-role-{alias}	Specify an alias such as username for {alias}
Trusted Entity Type	AWS Service - EC2	-
Policy	※ Assign the AdministratorAccess policy or a least privilege policy as needed	-

3. Key Pair Creation

Create a key pair for SSH connection to the ec2-sandbox from the EC2 console. After creation, download the private key and save it in the .ssh directory under the home directory regardless of OS. Set the required permissions for SSH access on the saved .pem file by running the following command:chmod 400 your-key.pem

Item	Content	Notes
Name	ec2-sandbox-keypair-{alias}-{aws_region}	Specify an alias such as username for {alias}

4. Security Group Creation

Create security groups to restrict access to the instance. Prepare two types as shown below and create Inbound/Outbound whitelists as needed.

Item	Security Group Name Example	Notes
Internal Developer Access	internal-developer-access	e.g., Allow only company IP addresses to access via SSH (Port 22)
AWS Service Access	aws-service-access	e.g., ip-ranges.json etc., Access by AWS services

Create EC2 Instance

Create an EC2 instance following the steps below.

1. Check Shared AMI

※TBU: Purchage guide from AWS Marketplace

Please check following these steps:

• Open the Amazon EC2 console and select [Images] → [AMIs] from the left sidebar
• Select [Private Images] from the dropdown menu on the left side of the search field
• Confirm that AMI name slsops-ec2-sandbox-x86_64-0.0.1 is displayed
• Check the box and click the [Launch instance from AMI] button

※ Base AMI for ec2-sandbox

Amazon Linux 2023 is used.

2. Specify Instance Type

Below is a list of recommended instance types and sizes for development machine purposes.

Type	Size	Architecture	Monthly Cost Estimate	Notes
t3	large	x86_64	$ 60	✔️ Recommended, standard specifications
t3	xlarge	x86_64	$ 80	For frontend development and heavy use of VSCode extensions
t4g	large	aarch64 (arm)	$ 50	Low cost, optimal for WebAPI development
t4g	xlarge	aarch64 (arm)	$ 70	For frontend development and heavy use of VSCode extensions

※ "Monthly Cost Estimate"

• Based on weekday-only operation, assuming 60% uptime per month

※ "Architecture" Selection

• aarch64 (arm)
  • Low cost and high performance using Graviton processors
  • Optimal for frontend and WebAPI development providing general-purpose functions without AI/image processing
• x86_64
  • When depending on image processing libraries like opencv, sharp, libreoffice
  • AI-related projects

3. Select Key Pair

Select the key pair created in the "Prerequisites" section.

4. Network Settings

Please configure following these steps:

• Press the [Edit] button and specify the VPC, subnet, and security group created and verified in the "Prerequisites" section
• When placing in a Public subnet, set [Auto-assign public IP] to [Enable]

5. Configure Storage

20GB - 30GB is usually sufficient, but 50GB is recommended for multiple projects or Docker usage.

※ Storage capacity can be increased or decreased after instance launch if needed.

6. Specify Instance Role (Advanced Details)

Open the [Advanced Details] section and select the instance role created in the "Prerequisites" section from the [IAM instance profile] item.

7. Launch Instance

Press the [Launch Instance] button on the right side of the screen to complete.