Amazon EC2 Mastery: Instance Types, Pricing, and Best Practices
- Sujeet Prajapati

- Sep 15
- 9 min read
Introduction
Amazon Elastic Compute Cloud (EC2) is the backbone of AWS cloud computing, providing resizable compute capacity in the cloud. As an aspiring AWS Solutions Architect, mastering EC2 is crucial for designing scalable, cost-effective, and secure cloud architectures. This comprehensive guide will walk you through everything you need to know about EC2 instance types, pricing models, and best practices.
Understanding EC2 Instance Families
General Purpose Instances
A1 Family (ARM-based)
Use Cases: Scale-out workloads, web servers, containerized microservices
Key Features: AWS Graviton processors, cost-effective for ARM-compatible workloads
Example: A1.medium, A1.large
M5/M5a/M5n/M6i/M6a Family
Use Cases: Web servers, enterprise applications, backend servers, gaming servers
Key Features: Balanced compute, memory, and networking
Example: M5.large (2 vCPU, 8 GiB RAM), M6i.xlarge (4 vCPU, 16 GiB RAM)
T3/T3a/T4g Family (Burstable Performance)
Use Cases: Websites, web applications, code repositories, development environments
Key Features: Baseline CPU performance with ability to burst, cost-effective
CPU Credits: Earn credits when below baseline, consume when bursting
Example: T3.micro (2 vCPU, 1 GiB RAM, 20% baseline)
Compute Optimized Instances
C5/C5n/C6i/C6a Family
Use Cases: High-performance web servers, scientific computing, batch processing
Key Features: High-performance processors, optimized for compute-intensive applications
Example: C5.large (2 vCPU, 4 GiB RAM), C6i.2xlarge (8 vCPU, 16 GiB RAM)
C6g/C6gn Family (ARM-based)
Use Cases: High-performance computing, web servers, distributed analytics
Key Features: AWS Graviton2 processors, up to 40% better price performance
Memory Optimized Instances
R5/R5a/R5n/R6i/R6a Family
Use Cases: In-memory databases, distributed web scale cache stores, real-time big data analytics
Key Features: High memory-to-vCPU ratio
Example: R5.large (2 vCPU, 16 GiB RAM), R6i.xlarge (4 vCPU, 32 GiB RAM)
X1e/X1 Family
Use Cases: High-performance databases, distributed analytics, in-memory databases
Key Features: Highest memory-to-vCPU ratio in EC2
Example: X1e.xlarge (4 vCPU, 122 GiB RAM)
z1d Family
Use Cases: Electronic Design Automation (EDA), relational databases
Key Features: High frequency processors, NVMe SSD storage
Storage Optimized Instances
I3/I3en Family
Use Cases: NoSQL databases, distributed file systems, data warehousing
Key Features: NVMe SSD-backed instance storage
Example: I3.large (2 vCPU, 15.25 GiB RAM, 475 GB NVMe SSD)
D2/D3/D3en Family
Use Cases: Distributed file systems, data warehousing applications
Key Features: HDD-backed instance storage, high disk throughput
Accelerated Computing Instances
P3/P4 Family (GPU)
Use Cases: Machine learning, high-performance computing, computational fluid dynamics
Key Features: NVIDIA Tesla GPUs
Example: P3.2xlarge (8 vCPU, 61 GiB RAM, 1 NVIDIA V100 GPU)
G4 Family (GPU)
Use Cases: Graphics workstations, video rendering, game streaming
Key Features: NVIDIA T4 GPUs, optimized for graphics-intensive applications
EC2 Pricing Models
On-Demand Instances
Best For: Unpredictable workloads, development/testing, first-time applications
Pricing: Pay per hour/second with no upfront costs
Flexibility: Start/stop anytime without penalties
Use Case Example: Development environments, proof-of-concepts
Reserved Instances (RIs)
Best For: Steady-state workloads with predictable usage
Discount: Up to 75% compared to On-Demand
Terms: 1 or 3 years
Payment Options:
No Upfront: Lower discount, pay monthly
Partial Upfront: Medium discount, some upfront payment
All Upfront: Highest discount, pay everything upfront
RI Types:
Standard RIs: Highest discount, limited flexibility
Convertible RIs: Lower discount, can change instance attributes
Spot Instances
Best For: Fault-tolerant workloads, flexible start/end times
Discount: Up to 90% compared to On-Demand
Risk: Can be interrupted with 2-minute notice
Use Cases: Batch processing, data analysis, CI/CD, web servers with load balancers
Savings Plans
Best For: Consistent usage across EC2, Fargate, and Lambda
Discount: Up to 72% compared to On-Demand
Flexibility: Automatically applies to any usage regardless of instance family, size, or region
Types:
Compute Savings Plans: Most flexible, applies to EC2, Fargate, Lambda
EC2 Instance Savings Plans: EC2-specific, higher discounts
Dedicated Hosts
Best For: Compliance requirements, licensing restrictions
Features: Physical server dedicated to your use
Pricing: Per-host pricing regardless of instance count
Amazon Machine Images (AMIs)
AMI Types
Quick Start AMIs
Pre-configured by AWS
Include Amazon Linux 2, Ubuntu, Windows Server, Red Hat Enterprise Linux
Regularly updated with security patches
AWS Marketplace AMIs
Third-party software solutions
Pre-configured applications (WordPress, databases, development tools)
May include licensing costs
Community AMIs
Created and shared by AWS community
Use with caution, verify security and reliability
Custom AMIs
Created from your configured instances
Include your applications, configurations, and data
Creating Custom AMIs
Best Practices:
Clean the Instance: Remove temporary files, logs, and sensitive data
Update Software: Ensure all packages are up-to-date
Configure Startup Scripts: Use user data for dynamic configuration
Test Thoroughly: Launch test instances from your AMI
Steps to Create:
Configure your instance completely
Stop the instance (for EBS-backed AMIs)
Create Image from AWS Console/CLI
Add appropriate tags and description
Set appropriate permissions
Security: Key Pairs and Security Groups
Key Pairs
Purpose: Secure login to EC2 instances using public-key cryptography
Types:
RSA: Traditional format, widely supported
ED25519: Modern format, better security and performance
Best Practices:
Generate separate key pairs for different environments (dev, staging, prod)
Store private keys securely
Use AWS Systems Manager Session Manager for key-less access
Rotate keys regularly
Never share private keys
Security Groups
Function: Virtual firewall controlling inbound and outbound traffic
Key Concepts:
Stateful: Return traffic automatically allowed
Default Deny: All traffic denied unless explicitly allowed
Multiple Groups: Instance can have multiple security groups
Rule Evaluation: All rules evaluated, most permissive wins
Best Practices:
Principle of Least Privilege: Only allow necessary traffic
Source Specification: Use specific IP ranges, not 0.0.0.0/0 unless necessary
Descriptive Names: Use clear, descriptive security group names
Regular Auditing: Review and update rules regularly
Common Configurations:
Web Server Security Group:
- Inbound: HTTP (80) from 0.0.0.0/0
- Inbound: HTTPS (443) from 0.0.0.0/0
- Inbound: SSH (22) from admin IP range
Database Security Group:
- Inbound: MySQL (3306) from web server security group
- No outbound rules needed (stateful)Instance Metadata and User Data
Instance Metadata
Purpose: Data about your instance available from within the instance
Access Method: HTTP requests to http://169.254.169.254/latest/meta-data/
Common Metadata:
Instance ID: curl http://169.254.169.254/latest/meta-data/instance-id
Instance type: curl http://169.254.169.254/latest/meta-data/instance-type
Local IP: curl http://169.254.169.254/latest/meta-data/local-ipv4
Public IP: curl http://169.254.169.254/latest/meta-data/public-ipv4
IAM role: curl http://169.254.169.254/latest/meta-data/iam/security-credentials/
IMDSv2 (Recommended):
# Get token
TOKEN=`curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600"`
# Use token to get metadata
curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/instance-idUser Data
Purpose: Pass data to instance at launch time for initialization
Execution: Runs once at first boot (can be configured to run on every boot)
Common Uses:
Install software packages
Configure applications
Download application code
Set up monitoring agents
Example User Data Script:
#!/bin/bash
yum update -y
yum install -y httpd
systemctl start httpd
systemctl enable httpd
echo "<h1>Hello from $(curl -s http://169.254.169.254/latest/meta-data/instance-id)</h1>" > /var/www/html/index.htmlHands-On: Launch Your First EC2 Instance
Step-by-Step Guide
Step 1: Access EC2 Console
Log into AWS Management Console
Navigate to EC2 service
Select your preferred region
Step 2: Launch Instance
Click "Launch Instance"
Choose descriptive name (e.g., "my-first-web-server")
Step 3: Select AMI
Choose Amazon Linux 2023 AMI (free tier eligible)
Note the AMI ID for future reference
Step 4: Choose Instance Type
Select t3.micro (free tier eligible)
Review vCPU and memory specifications
Step 5: Configure Key Pair
Create new key pair or use existing
Download .pem file securely
Set appropriate permissions: chmod 400 your-key.pem
Step 6: Network Settings
Create new security group or use existing
Allow SSH (port 22) from your IP
Allow HTTP (port 80) from anywhere (0.0.0.0/0)
Step 7: Configure Storage
Default 8 GiB gp3 EBS volume
Enable encryption if required
Step 8: Advanced Details (Optional)
Add user data script for web server setup
Configure IAM role if needed
Set monitoring and logging options
Step 9: Review and Launch
Review all configurations
Launch instance
Monitor status in EC2 console
Post-Launch Tasks
Connect to Instance:
# For Linux/Mac
ssh -i "your-key.pem" ec2-user@your-instance-public-ip
# For Windows (using PuTTY)
# Convert .pem to .ppk using PuTTYgen
# Use PuTTY with converted keyVerify Installation:
# Check system information
curl http://169.254.169.254/latest/meta-data/instance-type
curl http://169.254.169.254/latest/meta-data/instance-id
# If web server installed, test
curl localhostBest Practices for EC2
Cost Optimization
Right-Sizing:
Monitor CPU, memory, and network utilization
Use CloudWatch metrics to identify over-provisioned instances
Resize instances based on actual usage patterns
Instance Scheduling:
Stop non-production instances during off-hours
Use AWS Instance Scheduler for automated start/stop
Consider Spot Instances for non-critical workloads
Reserved Instance Planning:
Analyze usage patterns over 2-3 months
Purchase RIs for predictable workloads
Use RI recommendations in AWS Cost Explorer
Performance Optimization
Instance Placement:
Use Placement Groups for high-performance computing
Cluster: Low latency, high throughput within single AZ
Spread: Distinct hardware, maximum 7 instances per AZ
Partition: Spreads across logical partitions
Enhanced Networking:
Enable SR-IOV for supported instance types
Use Elastic Network Adapter (ENA) for high bandwidth
Consider Nitro-based instances for better performance
Storage Optimization:
Choose appropriate EBS volume types (gp3, io2, etc.)
Use instance store for temporary, high-performance storage
Implement EBS optimization for consistent performance
Security Best Practices
Access Management:
Use IAM roles instead of hardcoded credentials
Implement least privilege access
Regular security group audits
Enable VPC Flow Logs for network monitoring
Data Protection:
Encrypt EBS volumes and snapshots
Use AWS KMS for key management
Enable CloudTrail for API logging
Regular security patching and updates
Network Security:
Place instances in private subnets when possible
Use NAT Gateways for outbound internet access
Implement Network ACLs for additional layer security
Use AWS WAF for web application protection
Monitoring and Maintenance
CloudWatch Integration:
Enable detailed monitoring for production instances
Set up custom metrics for application-specific monitoring
Create CloudWatch alarms for proactive alerting
Use CloudWatch Logs for centralized log management
Backup and Recovery:
Automate EBS snapshot creation using AWS Backup
Test restore procedures regularly
Implement cross-region replication for disaster recovery
Document recovery time objectives (RTO) and recovery point objectives (RPO)
Advanced EC2 Features
Auto Scaling
Automatically adjust capacity based on demand
Integration with Elastic Load Balancer
Health checks and automatic replacement
Cost optimization through dynamic scaling
Elastic Load Balancing
Distribute traffic across multiple instances
Application Load Balancer (Layer 7) vs Network Load Balancer (Layer 4)
Health checks and automatic failover
SSL/TLS termination
Instance Lifecycle Management
Hibernation: Save instance state to EBS
Stop vs Terminate: Understand the difference
Instance Retirement: AWS-initiated for hardware issues
Reboot: Soft restart without losing instance store data
Common Pitfalls and How to Avoid Them
Instance Selection Mistakes
Over-provisioning: Choosing instances larger than needed
Wrong family: Using compute-optimized for memory-intensive workloads
Ignoring network performance: Not considering bandwidth requirements
Security Oversights
Open security groups: Allowing 0.0.0.0/0 for SSH access
Unencrypted storage: Not encrypting sensitive data
Shared key pairs: Using same key pair across environments
Cost Management Errors
Forgotten instances: Leaving test instances running
Wrong pricing model: Using On-Demand for predictable workloads
Unattached resources: Paying for unused EBS volumes and Elastic IPs
Exam Tips for AWS Solutions Architect Associate
Key Points to Remember
Instance Types:
Memorize major families: M (general), C (compute), R (memory), I (storage)
Understand burstable performance and CPU credits
Know when to use each family type
Pricing Models:
On-Demand: Pay as you go, no commitment
Reserved: 1-3 year commitment, significant savings
Spot: Cheapest option, can be interrupted
Dedicated: Compliance and licensing requirements
Security:
Security groups are stateful, NACLs are stateless
Key pairs for initial access, IAM roles for ongoing access
Default security group denies all inbound, allows all outbound
Monitoring:
Basic monitoring (5-minute intervals) vs detailed (1-minute intervals)
CloudWatch metrics available by default
Custom metrics for application-specific monitoring
Common Exam Scenarios
Scenario 1: "A company needs to run a web application with variable traffic patterns. What pricing model should they use?"
Answer: Combination of On-Demand for baseline capacity and Spot Instances for additional capacity during peak times
Scenario 2: "An application requires high IOPS for database operations. Which instance family is most appropriate?"
Answer: Storage Optimized (I3 family) with NVMe SSD-backed instance storage
Scenario 3: "A company wants to migrate from on-premises servers with specific licensing requirements. What EC2 option should they consider?"
Answer: Dedicated Hosts to maintain license compliance
Conclusion
Mastering Amazon EC2 is fundamental to becoming an effective AWS Solutions Architect. Understanding instance families, pricing models, and best practices enables you to design cost-effective, performant, and secure cloud architectures. Practice launching different instance types, experiment with pricing models, and always prioritize security in your implementations.
The key to success is hands-on experience combined with theoretical knowledge. Use the AWS Free Tier to experiment with different configurations and pricing models. Remember that as a Solutions Architect, your role is to balance performance, cost, and security requirements while meeting business objectives.
Next Steps
Practice launching instances in different configurations
Experiment with Auto Scaling and Load Balancing
Study VPC networking in detail
Explore advanced features like placement groups and enhanced networking
Take practice exams to test your knowledge
Quick Reference Commands
# AWS CLI commands for EC2 management
aws ec2 describe-instances
aws ec2 start-instances --instance-ids i-1234567890abcdef0
aws ec2 stop-instances --instance-ids i-1234567890abcdef0
aws ec2 describe-images --owners self amazon
aws ec2 create-security-group --group-name MySecurityGroup --description "My security group"
aws ec2 authorize-security-group-ingress --group-id sg-903004f8 --protocol tcp --port 22 --cidr 203.0.113.0/24Ready to launch your AWS Solutions Architect journey? Start with hands-on practice and gradually build complexity as you become more comfortable with EC2 fundamentals.

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