Amazon Web Services (AWS) is a cloud platform with services for running applications, storing data, networking systems, and analyzing information. You choose the services and locations that fit a workload and configure them; billing depends on service-specific usage, pricing options, and account terms. This guide introduces the ideas behind AWS, a useful set of core services, and a safe way to begin.

  • Cloud computing provides technology resources on demand instead of requiring you to buy and operate every server yourself.
  • AWS Regions and Availability Zones describe where resources run and how you can design for some infrastructure failures.
  • Core services cover compute, storage, databases, networking, and access management.
  • Security and cost remain part of your design: AWS secures its infrastructure, while you configure your workload and monitor its usage.

What is AWS?

AWS is a cloud services platform. Through the AWS Management Console, APIs, command-line tools, and software development kits, you can create resources such as virtual servers, object storage, managed databases, and networks. Some services give you direct control over operating systems and configuration; others manage more of the underlying work for you.

AWS resources are organized within accounts and Regions. A Region is a separate geographic area. Within a Region, each Availability Zone consists of one or more discrete data centers with separate power, networking, and connectivity. Using more than one Zone can reduce the impact of some local failures when the application is designed to operate across them. Many services and resources are regional, and AWS does not automatically copy every resource or its data to another Region. Choose a Region based on service availability, user location, legal requirements, and operating needs. AWS explains the model in its guide to AWS Regions and Availability Zones.

Cloud services can shorten the time needed to obtain infrastructure and make it easier to adjust capacity. They do not guarantee lower costs or high availability: those outcomes depend on the architecture, configuration, usage, and operating practices. AWS's overview of cloud computing describes the on-demand service model.

Understanding cloud computing

Cloud computing means obtaining technology resources as services over a network. Instead of purchasing a server and running it in your own facility, you can launch a virtual machine in AWS. Instead of operating every part of a database platform, you can choose a managed database service. The provider operates the physical cloud infrastructure, while the amount you configure and maintain depends on the service.

People often describe cloud offerings with three service models:

  • Infrastructure as a Service (IaaS) provides building blocks such as virtual machines, storage, and networks. With Amazon EC2, for example, you manage the guest operating system and the software on your instances.
  • Platform as a Service (PaaS) provides a managed platform for deploying applications, so you manage less of the underlying runtime and infrastructure.
  • Software as a Service (SaaS) delivers a finished application for people to use. SaaS is a cloud service model, not a synonym for an AWS infrastructure service.

These are useful ways to compare how much you manage. They are not a strict list of AWS products: a real application may combine virtual machines, managed services, and software delivered through a browser.

Benefits and tradeoffs of cloud computing

  • Faster provisioning: teams can create resources through a console, API, or infrastructure-as-code tool without first purchasing hardware.
  • Adjustable capacity: many services let you change capacity or configure scaling, but scaling behavior must be designed and tested.
  • Managed operations: managed services can reduce routine infrastructure work. You still need to configure access, protect data, monitor the application, and understand the provider's service limits.
  • Choice of locations: Regions and Availability Zones let you place resources near users or design for some local failures. A service running in one location is not automatically resilient to an outage in another.
  • Usage-based billing: many AWS charges depend on the resources consumed, but idle resources, stored data, networking, requests, and optional features may still incur charges. Cloud use can cost more if resources are poorly sized or left running.

Security is also shared. AWS protects the infrastructure that runs its cloud services; customers remain responsible for parts of security such as identity permissions, data handling, and the configuration of the services they choose. With EC2, customers also manage the guest operating system and application software. The responsibility changes with the service, as explained in the AWS shared responsibility model.

Core AWS services

AWS has many services. Start by understanding a few common categories rather than trying to memorize a catalog.

Compute services

  • Amazon EC2 provides virtual servers. You choose the instance, operating system image, storage, and network settings, then manage the guest operating system and application.
  • AWS Lambda runs code in response to events without requiring you to manage the underlying servers. You still choose permissions, code, event sources, and resource settings.
  • Amazon ECS orchestrates containerized applications. It can run containers on AWS-managed serverless capacity or on EC2 instances that you manage.

If you want to see how a virtual server and object storage fit together, read Amazon EC2 and S3 for beginners.

Storage services

  • Amazon S3 is object storage for files, media, backups, and datasets. Objects are stored in buckets.
  • Amazon EBS provides block storage volumes commonly attached to EC2 instances.
  • Amazon S3 Glacier storage classes are S3 options for archival data. Retrieval time and charges depend on the selected class and retrieval option.

Database and analytics services

  • Amazon RDS manages relational database engines such as PostgreSQL and MySQL.
  • Amazon DynamoDB is a managed NoSQL database for key-value and document data.
  • Amazon Redshift is a data warehouse for analytics workloads.

These services have different data models, scaling options, and operating responsibilities. Select one based on the application's access patterns and consistency needs, not simply because a service is described as fast or managed.

Networking and content delivery

  • Amazon VPC provides a logically isolated network where you configure address ranges, subnets, routes, and network access controls.
  • AWS Direct Connect provides a dedicated network connection from your location to AWS. It requires network design and does not automatically make an application faster or more secure.
  • Amazon CloudFront is a content delivery network that can cache and deliver content from edge locations closer to viewers.

For a guided introduction to subnets and routing, see the beginner AWS VPC lab.

Security and identity services

  • AWS Identity and Access Management (IAM) defines permissions for identities and resources.
  • AWS IAM Identity Center helps people use centrally managed access across AWS accounts and applications.
  • AWS WAF lets you define rules to monitor and control HTTP requests to supported applications.
  • AWS Shield provides DDoS protection for supported AWS resources and services.

For a practical guide to S3 permissions, policies, and private access, continue with Amazon S3 access management.

Getting started with AWS

Set up an account and choose a Region

If your employer or school manages AWS access, ask its administrator for the account and permissions you should use. For a new personal account, follow AWS's current sign-up process and review the account plan and Free Tier terms. Offers and eligibility can change, and not every resource or use pattern is covered.

Choose a Region before creating resources. Check that it supports the services you need and meets your latency, data-location, and operational requirements. Some resources and settings are regional, so keep track of which Region you selected in the console.

Use the AWS Management Console

The console is a browser interface for creating and managing AWS resources. Each service has its own pages, settings, and terminology. Most console actions are also available through AWS APIs; the AWS CLI and SDKs let you automate those actions from a terminal or application.

Secure account access

  • Protect the root user: enable multi-factor authentication (MFA), do not create root access keys, and use root credentials only for tasks that require them.
  • Use named, managed access for daily work: IAM Identity Center or your organization's identity provider can grant access without sharing the root login.
  • Prefer temporary credentials: use IAM roles and federated access where possible instead of distributing long-lived access keys.
  • Grant only required permissions: start with the smallest actions and resources the person or workload needs, then review access as the system changes.

These steps follow AWS's current root-user best practices and security-credential guidance. For an initial Lambda project, the walkthrough to deploy your first AWS Lambda function includes access roles, testing, logging, and cleanup.

Track and manage costs

Before creating resources, check their current pricing and any free usage terms. Create an AWS Budget with an alert threshold, review Billing and Cost Management regularly, and remove test resources when finished. An alert warns you about spending; do not assume it will stop resources or prevent charges. AWS's Billing and Cost Management guide describes cost analysis, forecasts, and budgets.

For a guided path through core concepts and a bounded first lab, continue with the step-by-step AWS tutorial for beginners.

Common AWS use cases

AWS services are building blocks. A production design still needs the application code, permissions, monitoring, recovery plan, and capacity choices that fit its requirements.

Web applications

A web application might use CloudFront to deliver cached content, S3 for uploads or static assets, EC2 or containers for application code, and a database service for application records. Load balancing and Auto Scaling can adjust compute capacity when configured and tested; they do not by themselves prevent every outage or application bottleneck.

Data processing and analytics

Applications can land files in S3, transform data with services such as AWS Glue or Amazon EMR, and query or warehouse data with Amazon Athena or Amazon Redshift. The right combination depends on data format, freshness needs, query patterns, and cost.

Hybrid environments

A hybrid design connects systems that remain on premises with resources in AWS. Options such as Site-to-Site VPN, Direct Connect, and Storage Gateway address different connectivity and data-access needs. A VPC is a network in AWS; it does not make a company-wide private cloud automatically.

Event-driven applications

An event-driven application might use API Gateway to accept requests, Lambda to run bounded code, DynamoDB to store application records, and S3 for files. Each service has its own limits and costs, and the application must handle retries and partial failures.

Keep learning

Start with the official AWS documentation for the services in your project. Use tutorials to practice with a small, disposable workload, and read the billing page before leaving resources running. AWS training and certification can provide a structured learning path; a certification is an optional checkpoint and does not replace hands-on practice.

When you meet an error, include the service, Region, resource, action, and relevant error message in your search or support request. Remove account identifiers, credentials, and sensitive data before sharing logs publicly. AWS community forums and project repositories can help with examples, while AWS documentation remains the reference for current service behavior.