AWS Getting Started: Account Setup to First Deployment

Amazon Web Services (AWS) is the largest and most mature public cloud platform, offering over 200 services across compute, storage, networking, databases, machine learning, and analytics. As of 2025, AWS commands approximately 31% of the global cloud infrastructure market, more than its next two competitors combined, according to Synergy Research Group. This guide walks through creating a properly secured AWS account, understanding the core services, and deploying your first production-grade application using infrastructure as code principles.

Setting Up an AWS Account Securely

Visit aws.amazon.com and click “Create an AWS Account.” Provide a valid email address, a strong password, and billing information. AWS offers a 12-month Free Tier that includes 750 hours of EC2 t2.micro instance usage per month, 5 GB of S3 standard storage, and 1 million Lambda requests — sufficient for learning and small production workloads.

The most important action you will take: enable Multi-Factor Authentication (MFA) on your root account immediately. The root account has unrestricted access to all resources and billing. After enabling MFA, create an IAM administrative user and never use the root account for daily operations. The AWS Identity and Access Management (IAM) Best Practices guide recommends deleting root access keys if they exist and instead relying on IAM roles with temporary credentials.

The AWS Free Tier includes services like Amazon CloudWatch (10 custom metrics), Amazon DynamoDB (25 GB of storage), and AWS Lambda (1 million requests per month). Review the Free Tier usage limits carefully — exceeding them results in standard charges.

IAM: Identity and Access Management

IAM is the service that controls authentication and authorization for every AWS action. Every API call, whether from the console, CLI, or SDK, passes through IAM for validation.

Core IAM concepts:

• Users — individual people or service accounts with long-term credentials
• Groups — collections of users with shared permissions (e.g., Developers, Admins, ReadOnly)
• Roles — identities assumed by AWS services or federated users, providing temporary credentials via AWS Security Token Service (STS)
• Policies — JSON documents defining permissions, written in the IAM policy language

The principle of least privilege should govern every policy you write. Start with AWS managed policies (e.g., AmazonS3ReadOnlyAccess) and refine to custom policies as you identify specific requirements. AWS Access Analyzer helps identify policies that grant excessive permissions by analyzing access patterns over time (IAM Access Analyzer, AWS Documentation).

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "s3:GetObject",
      "Resource": "arn:aws:s3:::my-application-bucket/*",
      "Condition": {
        "IpAddress": {
          "aws:SourceIp": "203.0.113.0/24"
        }
      }
    }
  ]
---

EC2: Elastic Compute Cloud

Amazon EC2 provides resizable virtual machines in the cloud. Instance types range from the burstable t3.micro (2 vCPUs, 1 GB RAM, ~$0.0104/hour) suitable for low-traffic web servers, to the compute-optimized c7g instances and memory-optimized x2iedn instances with up to 4 TB of RAM.

Launching your first instance:

# Create a security group
aws ec2 create-security-group \
  --group-name web-sg \
  --description "Web server security group"

# Authorize HTTP access
aws ec2 authorize-security-group-ingress \
  --group-name web-sg \
  --protocol tcp \
  --port 80 \
  --cidr 0.0.0.0/0

# Launch an instance
aws ec2 run-instances \
  --image-id resolve:ssm:/aws/service/ami-amazon-linux-latest/al2023-ami-kernel-default-x86_64 \
  --instance-type t3.micro \
  --key-name my-key-pair \
  --security-groups web-sg

Amazon Linux 2023 is the recommended distribution for AWS, optimized for the Nitro hypervisor with built-in kernel live patching and a 10-year support lifecycle. For Windows workloads, AWS provides Windows Server 2022 and 2025 AMIs with per-second billing.

S3: Simple Storage Service

Amazon S3 is object storage designed for 99.999999999% (11 nines) durability. Objects are stored in buckets — globally unique namespaces — and accessed via HTTP/HTTPS. S3 powers data lakes, static website hosting, backup repositories, and content distribution.

Key S3 features:

• Storage classes — S3 Standard for frequently accessed data, S3 Intelligent-Tiering for unknown patterns, S3 Glacier for archival
• Versioning — protects against accidental deletion by preserving all object versions
• Lifecycle policies — automatically transition objects to colder tiers or expire them
• Encryption — SSE-S3 (AES-256), SSE-KMS (AWS KMS managed keys), or SSE-C (customer-provided keys)
• Event notifications — trigger Lambda functions or SQS messages on object creation

aws s3 mb s3://my-example-blog-site
aws s3 cp index.html s3://my-example-blog-site/
aws s3 website s3://my-example-blog-site/ --index-document index.html

Lambda: Serverless Functions

AWS Lambda runs code in response to events without provisioning or managing servers. Supported runtimes include Python 3.12, Node.js 20, Java 21, .NET 8, Go 1.x, and custom runtimes via the Runtime API.

Lambda integrates natively with over 15 AWS event sources — S3 uploads, DynamoDB streams, SQS messages, API Gateway HTTP requests, and EventBridge scheduled events. The pricing model charges per request ($0.20 per 1 million requests) and per GB-second of compute duration ($0.0000166667 for each GB-second).

import json
import boto3

s3 = boto3.client('s3')

def lambda_handler(event, context):
    """Process a file upload and generate a thumbnail."""
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']
    
    response = s3.get_object(Bucket=bucket, Key=key)
    content = response['Body'].read()
    
    return {
        'statusCode': 200,
        'body': json.dumps({
            'bucket': bucket,
            'key': key,
            'size_bytes': len(content)
        })
    }

Lambda cold starts add 200-800ms latency depending on the runtime and deployment package size. Provisioned Concurrency eliminates cold starts for latency-sensitive workloads but adds cost.

RDS: Relational Database Service

Amazon RDS manages MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and the AWS-native Amazon Aurora database engines. Automated backups, software patching, Multi-AZ failover, and read replicas are built in. Aurora provides MySQL and PostgreSQL compatibility with 5x throughput and six-way replication across three Availability Zones.

aws rds create-db-instance \
  --db-instance-identifier blog-db \
  --db-instance-class db.t3.micro \
  --engine postgres \
  --engine-version 16.3 \
  --master-username dbadmin \
  --master-user-password $(aws secretsmanager get-random-password --exclude-punctuation --require-each-included-type --password-length 20 --query RandomPassword --output text) \
  --allocated-storage 20 \
  --backup-retention-period 7 \
  --multi-az \
  --storage-encrypted

VPC: Virtual Private Cloud

A VPC is your logically isolated network within AWS. Every AWS resource — EC2 instances, RDS databases, Lambda functions — runs inside a VPC. VPC design is the foundation of security and connectivity:

• Subnets — public subnets have routes to an Internet Gateway for load balancers and bastion hosts; private subnets lack direct internet access for application and database servers
• Route tables — control traffic flow between subnets and gateways
• NAT Gateway — enables private subnet instances to access the internet (for updates) without accepting inbound connections
• Security Groups — stateful firewalls at the instance level, supporting allow rules only
• Network ACLs — stateless firewalls at the subnet level, supporting both allow and deny rules

Deploying a Full Application

A production-ready architecture combines these services:

1. S3 stores static assets (images, CSS, JavaScript) with CloudFront as a content delivery network
2. Lambda + API Gateway powers the serverless API layer with automatic scaling
3. RDS Aurora provides the relational database with Multi-AZ failover
4. Route 53 manages DNS with latency-based routing and health checks
5. AWS WAF protects the API against SQL injection and cross-site scripting attacks

The AWS Well-Architected Framework provides design principles and best practices across six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability (AWS Well-Architected, 2025).

FAQ

How much does the AWS Free Tier actually cover? It includes 750 hours of EC2 t2.micro or t3.micro per month, 5 GB of S3 standard storage, 1 million Lambda requests, 25 GB of DynamoDB storage, and 30 GB of EBS magnetic storage for 12 months. Always set billing alerts and use AWS Budgets to monitor Free Tier usage thresholds to avoid surprise charges.

What is the difference between a Security Group and a Network ACL? Security Groups are stateful instance-level firewalls that only support allow rules. Network ACLs are stateless subnet-level firewalls that support both allow and deny rules. Security Groups are evaluated first, then Network ACLs.

Should I use EC2 or Lambda for my application? EC2 provides full control over the operating system and runtime environment — ideal for legacy applications, custom runtimes, and workloads requiring persistent connections. Lambda excels for event-driven, variable-traffic, and API workloads where operational simplicity matters more than runtime control.

How do I manage secrets and credentials securely? Use AWS Secrets Manager (automated rotation, fine-grained access) or AWS Systems Manager Parameter Store for configuration data. Never hardcode credentials in application code or configuration files. IAM roles with temporary credentials via STS eliminate the need for long-lived access keys.

What is the fastest way to deploy an application on AWS? AWS Elastic Beanstalk automates environment provisioning, load balancing, auto-scaling, and health monitoring. For serverless applications, the AWS Serverless Application Model (SAM) provides a simplified YAML syntax for defining Lambda functions, APIs, and databases in a single template. For containerized applications, AWS App Runner provides the fastest path from source code to HTTPS endpoint with automatic CI/CD, scaling, and TLS certificate management.

Cloud Computing Overview — Serverless Computing Guide — Cloud Security Guide

Related Concepts and Further Reading

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The relationship between aws getting started and adjacent fields is worth particular attention. Many of the most important insights emerge at the boundaries between disciplines, where ideas from different areas combine to create new approaches and solutions that neither field could produce alone. Exploring these connections pays dividends in both breadth and depth of understanding, revealing patterns and principles that might otherwise remain hidden from view. Cross-disciplinary knowledge is increasingly valued as problems become more complex and interconnected.

For those looking to go beyond introductory material, several excellent resources provide deeper treatment of specific aspects of aws getting started. Academic journals, industry publications, authoritative reference works, and online courses each offer different perspectives and levels of detail. The key is to match your reading to your current learning goals and build knowledge progressively, focusing on quality over quantity in your study materials. A well-chosen resource that matches your current level is worth more than dozens of resources that are too basic or too advanced.