AWS Explained: Services, Costs, Security, and How to Get Started
By Sinova Team, Editorial team
If you searched "aws," you probably saw a sign-in page, a news feed, and a long list of products. None of those tell you what the platform is or where to start. This guide gives you a plain starting point, whether you're a founder scoping a project, a CTO comparing options, or an engineer about to open the console for the first time.
We'll explain what AWS is and show how a few core services can support one application. Then we'll cover how to choose services, which inputs drive cost, and which security work stays with you. Unfamiliar terms like VPC, IAM, region, and Free Tier are defined the first time they come up.
What Is AWS?
AWS stands for Amazon Web Services, Amazon's cloud computing platform. It is a separate business from Amazon.com's retail store: AWS sells computing services to organizations and developers, not consumer products.
Cloud computing means using computing resources such as servers, storage, and databases over the internet instead of buying and maintaining all the underlying hardware yourself. You rent capacity and managed services, and the provider runs the physical data centers.
Organizations use AWS by picking and configuring services for their own workload. Typical choices include compute, storage, databases, networking, and security controls. A "workload" is the application or process you want to run, such as a customer portal, a data pipeline, or an internal tool.
Think of AWS as a catalog you assemble and operate through configuration. It does not build or run a whole application for you automatically. You decide which services to use, how they connect, and how they are secured and maintained. The official AWS site has the current service list, which changes often enough that you should check it there.
How AWS Services Work Together
A simple application can use compute to run its logic, storage to hold files, a database for structured information, and networking and security controls to connect and protect the parts. Each piece is a separate service that you choose and configure.
The table below is an illustrative example for a small web application. It is not a universal recommended setup.
Component | Job in this example | Representative service to investigate | What the customer still configures |
|---|---|---|---|
Users and traffic | Route requests to the application | A load balancer or API endpoint service | Domains, routing rules, TLS certificates |
Networking boundary | Isolate resources in a private network | Amazon VPC | Subnets, routing, firewall rules |
Compute | Run application code | Amazon EC2 or AWS Lambda | Code, runtime, scaling settings, patching where applicable |
Database | Store structured records | A managed database such as Amazon RDS | Schema, access rules, backups, encryption |
File storage | Hold uploads, images, and exports | Amazon S3 | Bucket policies, encryption, lifecycle rules |
Identity and access | Control who can do what | AWS IAM | Users, roles, permissions, least-privilege policies |
In this illustrative flow, a user request passes through the traffic layer into a private network (VPC). Application code on EC2 or Lambda handles it, reads and writes records in the database, and stores files in S3. IAM governs which components and people can touch each resource.
Data flow, integrations, and failure boundaries are design choices your organization makes. AWS does not fill them in by default.
AWS Service Categories at a Glance
AWS services fall into practical categories: compute, storage, databases, networking, security and identity, analytics, developer tools, migration, and AI. Use the table as a map of where to start looking. It is not the full catalog, and most projects need only a few rows.
Category | Problem it addresses | Representative service to investigate | Plain-language use case |
|---|---|---|---|
Compute | Running code | Amazon EC2, AWS Lambda | Run a web app's backend or event-driven functions |
Storage | Keeping files and objects | Amazon S3 | Store user uploads, backups, and static assets |
Databases | Managing structured data | Amazon RDS | Keep customer accounts and orders |
Networking | Connecting and isolating resources | Amazon VPC (Virtual Private Cloud, your own logically isolated network inside AWS) | Keep databases off the public internet |
Security and identity | Controlling access | AWS IAM (Identity and Access Management, the service that defines who can access which resources) | Give developers only the permissions they need |
Analytics | Turning data into reports | Analytics and BI services listed on aws.amazon.com | Build dashboards from operational data |
Developer tools | Building and deploying code | AWS developer tooling | Automate builds and deployments |
Migration | Moving existing systems | AWS migration services | Move an on-premises app to the cloud |
AI | Adding AI features or assistants | Amazon Bedrock, SageMaker, Amazon Q, Amazon Quick, Nova models | Add a generative AI feature to a product |
AI product names change often. As of October 2026, AWS describes Amazon Quick as a product that "turns your questions into actions using agentic teammates for research, business insights, and automation." The Amazon Q page covers AI coding and developer assistance. For Bedrock, SageMaker AI, and Nova, check current names and capabilities on their official pages before you plan around them.
What Do Organizations Use AWS For?
Organizations commonly use AWS to host web applications, store and process data, support analytics, migrate workloads, and build AI-enabled products. Every row below is a general example. None of them is a documented customer result.
Use case (general example) | Categories involved | What to define before choosing services |
|---|---|---|
Hosting web applications | Compute, networking, databases, storage, identity | Expected users, traffic patterns, uptime needs |
Storing and processing data | Storage, compute, databases | Data volume, retention period, processing frequency |
Supporting analytics | Analytics, storage, databases | Questions to answer, data sources, who views results |
Migrating workloads | Migration, compute, networking | Current dependencies, cutover risk, rollback plan |
Building AI-enabled products | AI, compute, storage, security | Model needs, data sensitivity, evaluation method |
AWS publishes its own customer stories. If you read one, keep in mind that the outcome belongs to that customer's workload and team. It won't automatically carry over to yours.
Not every organization needs every service. Moving to AWS does not by itself improve performance or lower costs. Results depend on architecture, configuration, and how well the system is run.
How to Choose AWS Services for a Project
Choose AWS services by working from requirements to services in this order:
- Define the workload and its users.
- Set functional, performance, availability, data-location, and security requirements.
- Identify integrations and how much your team can realistically operate.
- Compare managed and self-managed approaches.
- Test a small architecture before committing.
Requirement | Questions to ask | Service category to investigate |
|---|---|---|
Users and traffic | How many users, from where, and at what peaks? | Compute, networking |
Performance | What response time is acceptable? | Compute, databases |
Availability | How much downtime can the business tolerate? | Compute, databases, networking |
Data location | Which regions (geographic AWS locations) are allowed for this data? | Storage, databases |
Security and access | Who needs access, and to what? | Security and identity |
Integrations | Which existing systems must connect? | Networking, developer tools |
Operating capacity | Who will patch, monitor, and respond to incidents? | Managed services, developer tools |
Managed versus self-managed | Do you need low-level control or less operational work? | Compute, databases |
Two trade-offs shape most decisions. More control usually means more operational work: running your own database on a virtual server gives you full configuration access, and it also makes patching and backups your job. More flexibility usually means more configuration to understand and maintain over time.
Drop any service that doesn't map to a written requirement. A small test you can measure beats picking a full stack up front, and we don't recommend one default architecture for every start-up or enterprise.
How Much Does AWS Cost?
AWS has no single platform price. Your spend depends on which services you choose and how you use them, so the useful question is what one specific workload will cost.
According to the official AWS pricing page, AWS offers a pay-as-you-go approach for pricing for the vast majority of its cloud services, and you pay only for the individual services you need, for as long as you use them, without requiring long-term contracts or complex licensing. Savings Plans, reservations, and other commitments are options to look into on the official pages. None of them saves money automatically.
Check these cost items for each workload:
- Resource usage - Compute time, requests, or provisioned capacity.
- Storage - Volume stored and how long you keep it.
- Data transfer - Especially data leaving AWS to the internet.
- Support or licensing - Any support plan or third-party software charges.
Follow this estimation checklist:
- Name the workload.
- List every service it uses.
- Define usage units and estimated quantities.
- Look up current rates on the official pricing pages for your chosen region.
- Add data transfer, support, and licensing lines.
- Note Free Tier eligibility separately, using the Free Tier section of the AWS pricing page.
- Set budgets and alerts where available.
- Review actual usage on a fixed schedule.
Service | Usage unit | Estimated quantity | Current rate from official pricing | Estimated monthly amount | Notes |
|---|---|---|---|---|---|
Compute | (fill from official page) | ||||
Database | (fill from official page) | ||||
File storage | (fill from official page) | ||||
Data transfer | (fill from official page) | ||||
Support or licensing | (fill from official page) |
The AWS Pricing Calculator can help, but AWS itself notes that it "provides only an estimate of your AWS fees and doesn't include any taxes that might apply." AWS's calculator assumptions page adds that your actual cost will be based on your actual use of the services, not the Calculator. Treat any estimate as a planning number. It is not an invoice or a guarantee.
AWS Security and Compliance: What the Customer Must Plan For
Choosing AWS does not automatically secure your application or make it compliant. Responsibilities vary by service and configuration, so check the AWS guidance for each service you choose.
This split is called the shared responsibility model. In the AWS shared responsibility overview, AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud. You plan identity, data, network configuration, and much of the application layer. On services like EC2, the customer assumes responsibility and management of the guest operating system (including updates and security patches). More managed services shift part of that work to AWS, and the official guidance for each service tells you where the line falls.
Planning topic | Question the customer should answer | Where to confirm it |
|---|---|---|
Identity and access | Who can access which resources, with what permissions? | IAM documentation, AWS security |
Data protection | Which data is sensitive, and how is it encrypted? | Service documentation, AWS security |
Network configuration | What is exposed to the internet, and why? | VPC documentation |
Logging and monitoring | What events are recorded and reviewed? | AWS security resources |
Patching | Who patches operating systems and dependencies? | Shared responsibility guidance per service |
Backups | What is backed up, how often, and is restore tested? | Service documentation |
Governance | Who approves changes and new resources? | |
Compliance requirements | Which regulations apply, such as GDPR, and what must you do? | AWS compliance, your legal counsel |
GDPR is a good example of a duty you have to assess yourself. AWS does not complete it on your behalf. Review DDoS resilience and patch management in the official security and Well-Architected resources, and don't assume either one is handled automatically.
Getting Started with AWS
Beginners make the most progress with a small, deliberate sequence:
- Learn basic cloud concepts.
- Review introductory AWS learning material.
- Create a deliberately small test project.
- Document its architecture.
- Estimate costs with the worksheet above.
- Apply security controls, starting with IAM.
- Review the result against a success measure you defined in advance.
- Only then consider expanding.
Write a cleanup plan for resources you no longer need, and set budgets and alerts where available. These are operating controls. They don't guarantee a small bill.
Keep the first project to one workload, one region you can justify, and a short service list. For basic framing, AWS's Cloud Computing Explained video introduces compute, storage, databases, cost reduction, and scaling. Treat those as reasons organizations evaluate the cloud, not promised results. The AWS Whitepapers & Guides directory and the AWS Blogs are good next steps.
Learning and account operations are separate jobs. Console sign-in, the AWS service status page, and account closure are official account tasks, and you'll find them through the AWS site.
Building and Operating an AWS-Backed Application
Picking cloud services does not replace product engineering. Requirements, architecture, application development, integrations, testing, deployment, monitoring, and ongoing maintenance all still need to be done. Your team may need cloud architecture skills and application-development skills, beyond knowing the service names.
Sinova is a custom software development company that builds web applications, browser extensions, Electron.js desktop apps, and n8n automations for start-ups and well-established companies. Our published process runs from business analysis and prototyping through development, QA, deployment, and support. This is application-development work. It is not an AWS service, and we are not a source of AWS prices.
Two of our published case descriptions show where AWS fits into product delivery:
- Zoyo - Sinova's case description identifies AWS Lambda in the technology behind an AI-assisted real-estate marketing platform.
- Insightful - Sinova's case description lists AWS among the technologies used in a web-and-desktop analytics and visualization product.
Sinova published these descriptions, and they are not independent evidence of outcomes. They don't report AWS cost, performance, or business results, so we make no such claims here. On Sinova's site, the company reports 100+ AI automations created, 57+ web projects completed, 10+ Electron.js apps created, and 23+ web extensions created. These are company-reported portfolio counts, not AWS-specific totals.
Have a project in mind? Explore our case studies on sinova.dev and book a call or request a project estimate. Our team will review your requirements and contact you to discuss scope.
AWS Updates and Learning Resources
Once you have the fundamentals, follow AWS's own channels for updates: service announcements, the AWS News Blog, the broader AWS Blogs, whitepapers and guides, Well-Architected guidance, workshops, and technical videos.
Announcements and AI capabilities change, so confirm current availability, limits, names, and guidance on official pages before you act on any news item. For example, AWS announced in October 2026 that AWS Continuum for code vulnerabilities is generally available. AWS describes it as a service "that uses AI to automatically find, validate, and prioritize code vulnerabilities in your environment". A tool like this adds to the security planning described above but doesn't replace it.
The whitepapers and guides page is a directory organized by need, with material for start-ups and enterprises, pricing models, support levels, and analytics. Use it to see what's currently available, and don't read any of it as proof of a particular outcome.
Before you adopt a newly announced service, run it through the selection questions and the cost worksheet in this article.
FAQ
What does AWS stand for?
AWS stands for Amazon Web Services. It is Amazon's cloud computing platform and is separate from the Amazon.com retail business.
What is AWS used for?
AWS is used for hosting applications, storing and processing data, analytics, migrating workloads, and building AI-enabled products. Each customer selects and configures services for its own workload.
Is AWS the same as cloud computing?
No. AWS is one cloud computing platform, and cloud computing is the broader model of using remote computing resources over the internet.
Is AWS free to use?
AWS is not generally free, though a Free Tier can cover limited hands-on use. Check current limits and eligibility on the official AWS pricing page before relying on them.
How much does it cost to run an application on AWS?
It depends on the services you choose and how you use them, so estimate that specific application. Use the blank worksheet above along with the official pricing pages and the AWS Pricing Calculator.
Is AWS secure, and who is responsible for security?
AWS secures the underlying cloud infrastructure, and you still plan identity, data, network, and application controls. The split varies by service, and using AWS does not automatically make you compliant with any regulation.
What should a beginner learn first in AWS?
Start with basic cloud concepts, then build one small test architecture that covers compute, storage, a database, networking, and identity. Follow the getting-started sequence above and the official AWS whitepapers and guides.