AWS EC2
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud.
Advanced patterns (Auto Scaling, Spot Fleets, Session Manager, Instance Connect, IMDS, Placement Groups, scheduled scaling): see instance-management.md.
Table of Contents
Core Concepts
Instance Types
| Category | Example | Use Case |
|---|---|---|
| General Purpose | t3, m6i, t4g (Graviton) | Web servers, dev environments |
| Compute Optimized | c6i, c7g (Graviton) | Batch processing, gaming |
| Memory Optimized | r6i, r7g (Graviton) | Databases, caching |
| Storage Optimized | i3, d3 | Data warehousing |
| Accelerated | p4d, g5 | ML, graphics |
Graviton (ARM) instances (t4g, m7g, c7g, r7g) are ~20% cheaper than x86 equivalents for the same performance — worth considering for new workloads.
Purchasing Options
| Option | Description |
|---|---|
| On-Demand | Pay by the hour/second |
| Reserved | 1-3 year commitment, up to 72% discount |
| Spot | Unused capacity, up to 90% discount — can be interrupted with 2-minute notice |
| Savings Plans | Flexible commitment-based discount |
AMI (Amazon Machine Image)
Template containing OS, software, and configuration for launching instances. Use SSM Parameter Store to look up the latest official AMIs rather than hardcoding IDs:
# Latest Amazon Linux 2 AMI
aws ssm get-parameter \
--name /aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2 \
--query 'Parameter.Value' --output text
# Latest Amazon Linux 2023
aws ssm get-parameter \
--name /aws/service/ami-amazon-linux-latest/al2023-ami-kernel-default-x86_64 \
--query 'Parameter.Value' --output text
# Latest Ubuntu 22.04
aws ssm get-parameter \
--name /aws/service/canonical/ubuntu/server/22.04/stable/current/amd64/hvm/ebs-gp2/ami-id \
--query 'Parameter.Value' --output text
Security Groups
Virtual firewalls controlling inbound and outbound traffic. Changes take effect immediately — no restart required.
Common Patterns
Launch an Instance
# Create key pair
aws ec2 create-key-pair \
--key-name my-key \
--query 'KeyMaterial' \
--output text > my-key.pem
chmod 400 my-key.pem
# Create security group
aws ec2 create-security-group \
--group-name web-server-sg \
--description "Web server security group" \
--vpc-id vpc-12345678
# Allow SSH and HTTP
aws ec2 authorize-security-group-ingress \
--group-id sg-12345678 \
--protocol tcp \
--port 22 \
--cidr 10.0.0.0/8
aws ec2 authorize-security-group-ingress \
--group-id sg-12345678 \
--protocol tcp \
--port 80 \
--cidr 0.0.0.0/0
# Launch instance
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--associate-public-ip-address \
--tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=web-server}]'
# Wait until running, then get IP
aws ec2 wait instance-running --instance-ids i-1234567890abcdef0
aws ec2 describe-instances \
--instance-ids i-1234567890abcdef0 \
--query 'Reservations[].Instances[].PublicIpAddress' --output text
boto3:
import boto3
ec2 = boto3.resource('ec2')
instances = ec2.create_instances(
ImageId='ami-0123456789abcdef0',
InstanceType='t3.micro',
KeyName='my-key',
SecurityGroupIds=['sg-12345678'],
SubnetId='subnet-12345678',
MinCount=1,
MaxCount=1,
TagSpecifications=[{
'ResourceType': 'instance',
'Tags': [{'Key': 'Name', 'Value': 'web-server'}]
}]
)
instance = instances[0]
instance.wait_until_running()
instance.reload()
print(f"Instance ID: {instance.id}")
print(f"Public IP: {instance.public_ip_address}")
User Data Script
OS package manager note:
- Amazon Linux 2: use
amazon-linux-extras install nginx1 -y—yum install nginxfails because nginx is not in the default AL2 repos- Amazon Linux 2023: use
dnf install -y nginx- Ubuntu: use
apt-get install -y nginx- Amazon Linux 2 / RHEL:
httpd(Apache) is always available viayum install -y httpd
# Amazon Linux 2 — nginx via amazon-linux-extras
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--user-data '#!/bin/bash
amazon-linux-extras install nginx1 -y
systemctl start nginx
systemctl enable nginx
'
# Amazon Linux 2 — httpd (Apache, simpler alternative)
# --user-data '#!/bin/bash
# yum install -y httpd
# systemctl start httpd
# systemctl enable httpd
# echo "<h1>Hello from $(hostname -f)</h1>" > /var/www/html/index.html
# '
Attach IAM Role
# Create instance profile
aws iam create-instance-profile \
--instance-profile-name web-server-profile
aws iam add-role-to-instance-profile \
--instance-profile-name web-server-profile \
--role-name web-server-role
# Launch with profile
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--iam-instance-profile Name=web-server-profile \
...
Create AMI from Instance
aws ec2 create-image \
--instance-id i-1234567890abcdef0 \
--name "my-custom-ami-$(date +%Y%m%d)" \
--description "Custom AMI with web server" \
--no-reboot
Auto Scaling Group with Spot (Modern Approach)
The recommended way to use Spot Instances at scale is via Auto Scaling Groups with a mixed-instances policy — not the legacy request-spot-instances API. This supports instance diversification to minimize interruptions.
See instance-management.md for the full setup. Quick example:
# 1. Create launch template with IMDSv2
aws ec2 create-launch-template \
--launch-template-name my-lt \
--launch-template-data '{
"ImageId": "ami-0123456789abcdef0",
"SecurityGroupIds": ["sg-12345678"],
"IamInstanceProfile": {"Name": "my-profile"},
"MetadataOptions": {"HttpTokens": "required", "HttpEndpoint": "enabled"}
}'
# 2. Create ASG with mixed-instances (Spot + On-Demand diversification)
aws autoscaling create-auto-scaling-group \
--auto-scaling-group-name my-asg \
--min-size 0 --max-size 20 --desired-capacity 2 \
--vpc-zone-identifier "subnet-111,subnet-222" \
--mixed-instances-policy '{
"LaunchTemplate": {
"LaunchTemplateSpecification": {"LaunchTemplateName": "my-lt", "Version": "$Latest"},
"Overrides": [
{"InstanceType": "c5.xlarge"},
{"InstanceType": "c5.2xlarge"},
{"InstanceType": "c5a.xlarge"}
]
},
"InstancesDistribution": {
"OnDemandBaseCapacity": 0,
"OnDemandPercentageAboveBaseCapacity": 0,
"SpotAllocationStrategy": "capacity-optimized"
}
}'
EBS Volume Management
# Create volume
aws ec2 create-volume \
--availability-zone us-east-1a \
--size 100 \
--volume-type gp3 \
--iops 3000 \
--throughput 125 \
--encrypted
# Attach to instance
aws ec2 attach-volume \
--volume-id vol-12345678 \
--instance-id i-1234567890abcdef0 \
--device /dev/sdf
# Create snapshot
aws ec2 create-snapshot \
--volume-id vol-12345678 \
--description "Daily backup"
CLI Reference
Instance Management
| Command | Description |
|---|---|
aws ec2 run-instances | Launch instances |
aws ec2 describe-instances | List instances |
aws ec2 start-instances | Start stopped instances |
aws ec2 stop-instances | Stop running instances |
aws ec2 reboot-instances | Reboot instances |
aws ec2 terminate-instances | Terminate instances |
aws ec2 modify-instance-attribute | Modify instance settings |