What is AWS and how to get started
Master what is AWS to unlock real-world system design skills, improve your interview performance, and build scalable applications with confidence. Start learning AWS today and take a major step toward becoming a cloud-ready developer.
If you are stepping into cloud computing or preparing for technical interviews, understanding what is AWS becomes one of the most important milestones in your journey. AWS, or Amazon Web Services, is not just a tool or platform but a massive ecosystem that powers some of the most scalable applications in the world. From startups building their first product to enterprises running global infrastructure, AWS plays a central role in modern software engineering.
In my experience working with distributed systems and mentoring engineers preparing for cloud-related interviews, I have noticed that most people underestimate how deep AWS goes beyond just hosting servers. Once you truly understand what is AWS, you begin to see how it influences system design decisions, cost optimization strategies, and even how companies scale globally without owning physical hardware.
Learn the A to Z of Amazon Web Services (AWS)
Learn about the core AWS's services like compute, storage, networking services and how they work with other services like Identity, Mobile, Routing, and Security. This course provides you with a good grasp an all you need to know of AWS services. This course has been designed by three AWS Solution Certified Architects who have a combined industry experience of 17 years. We aim to provide you with just the right depth of knowledge you need to have.
Understanding What Is AWS#
At its core, AWS is a cloud computing platform provided by Amazon that offers on-demand access to computing resources over the internet. Instead of buying physical servers, managing data centers, and worrying about maintenance, developers can rent infrastructure and services as needed. This shift fundamentally changes how software is built, deployed, and scaled.
The real power behind what is AWS lies in its flexibility and scalability, allowing teams to launch applications quickly without heavy upfront investment. You pay only for what you use, which makes it both cost-efficient and highly adaptable for projects of any size.
The Good Parts of AWS: Cutting Through the Clutter
This is not your typical AWS reference course. You won’t find most of the knowledge that's shared here in the AWS docs. The goal here is to help you realize which AWS features you’d be foolish not to use — features that have passed the test of time by being at the backbone of most things on the Internet. In this course, you'll learn a technique used to help make reliable technical choices without getting paralyzed in the face of so many options. You’ll start by going through the most fundamental services AWS offers such as DynamoDB, S3, EC2. Each section breaks down how it’s used, the pros and cons, why you should (or shouldn't) be using it, and more. This course was written by a former Amazon engineer with 15 years of experience working on AWS.
The Evolution Of AWS And Cloud Computing#
Before AWS became mainstream, companies had to invest heavily in physical infrastructure, often over-provisioning resources to handle peak traffic. This led to wasted costs and operational complexity that slowed down innovation and product development.
AWS introduced a paradigm where infrastructure became programmable and elastic, meaning you could scale up or down instantly based on demand. This transformation is why understanding what is AWS is not just a theoretical concept but a practical skill that directly impacts how modern systems are designed.
Core AWS Service Categories#
AWS provides hundreds of services, but for learning and interview preparation, it helps to group them into key categories. Each category represents a fundamental building block in cloud-based architectures.
Overview Of AWS Service Categories#
Category | Description | Example Services |
Compute | Run applications and workloads on virtual servers | EC2, Lambda |
Storage | Store data reliably and securely | S3, EBS |
Databases | Managed database solutions | RDS, DynamoDB |
Networking | Connect and secure cloud resources | VPC, Route 53 |
Security | Manage access and protect resources | IAM, Shield |
When preparing for interviews, understanding these categories helps you map real-world problems to AWS solutions rather than memorizing individual services.
Compute Services In AWS#
Compute services form the backbone of AWS, enabling you to run applications without worrying about physical servers. The most commonly used service is EC2, which provides virtual machines that you can configure and scale based on your needs.
Another critical service is AWS Lambda, which allows you to run code without managing servers at all. This serverless approach is increasingly popular in modern architectures, especially when building event-driven systems or microservices.
Storage Services And Data Management#
Storage is a fundamental requirement for any application, and AWS provides multiple options depending on the use case. S3 is one of the most widely used storage services, offering highly durable and scalable object storage for files, backups, and static content.
For applications requiring block storage, EBS provides persistent storage volumes that can be attached to EC2 instances. Understanding what is AWS storage helps you design systems that are both reliable and cost-efficient.
AWS Database Services#
Databases are at the heart of most applications, and AWS offers both relational and non-relational solutions. RDS simplifies database management by handling backups, scaling, and maintenance for relational databases like MySQL and PostgreSQL.
DynamoDB, on the other hand, is a NoSQL database designed for high performance and scalability. Choosing between these services often comes up in interviews, making it essential to understand their trade-offs.
Comparison Of AWS Database Services#
Feature | RDS | DynamoDB |
Type | Relational | NoSQL |
Scalability | Vertical and limited horizontal | Fully horizontal scaling |
Use Case | Structured data, transactions | High-speed, key-value workloads |
Management | Managed but requires configuration | Fully managed |
Networking And Security In AWS#
Networking in AWS revolves around Virtual Private Cloud (VPC), which allows you to create isolated environments within the cloud. This enables you to control IP ranges, subnets, and routing, making your architecture more secure and organized.
Security is handled through IAM, which defines who can access what resources and under what conditions. In real-world systems, proper configuration of networking and security is often the difference between a robust architecture and a vulnerable one.
AWS Architecture And Regions#
One of the most important concepts when learning what is AWS is understanding its global infrastructure. AWS is divided into regions, each containing multiple availability zones, which are essentially isolated data centers.
This design ensures high availability and fault tolerance, allowing applications to remain operational even if one zone fails. When designing systems for interviews, mentioning regions and availability zones demonstrates a strong understanding of reliability.
AWS Infrastructure Components#
Component | Description |
Region | Geographic location with multiple data centers |
Availability Zone | Isolated data center within a region |
Edge Location | Used for content delivery and caching |
Benefits Of Using AWS#
Understanding what is AWS also involves recognizing why it is widely adopted across industries. The platform offers scalability, reliability, and flexibility that traditional infrastructure simply cannot match.
From a career perspective, AWS knowledge significantly boosts your profile, especially in roles involving backend development, DevOps, and system design. In interviews, demonstrating how AWS services solve real-world problems often sets candidates apart.
AWS For Interview Preparation#
When preparing for technical interviews, AWS is often discussed in system design rounds rather than coding interviews. Interviewers expect you to use AWS concepts to design scalable systems, such as load-balanced architectures or distributed storage solutions.
For example, you might be asked how to design a file upload system, and mentioning services like S3, CloudFront, and Lambda shows practical understanding. The key is not to memorize services but to understand how they fit into a broader architecture.
Real-World Use Cases Of AWS#
AWS is used across various industries, from streaming platforms to e-commerce systems. Companies rely on AWS to handle millions of users, process data in real time, and deliver content globally with minimal latency.
One common use case is building scalable web applications where EC2 handles compute, RDS manages data, and S3 stores static assets. These patterns frequently appear in interviews, making them essential to understand.
Common AWS Design Patterns#
When learning what is AWS for interviews, certain design patterns repeatedly appear. These include auto-scaling architectures, serverless pipelines, and distributed caching systems.
Understanding these patterns allows you to approach system design questions with confidence, as you can map requirements directly to AWS services. Over time, this becomes second nature and significantly improves your problem-solving ability.
Challenges And Limitations Of AWS#
While AWS offers numerous advantages, it is not without challenges. The vast number of services can be overwhelming for beginners, and misconfigurations can lead to unexpected costs or security risks.
In my experience, one of the biggest mistakes candidates make is focusing too much on service names rather than understanding the underlying concepts. A strong foundation in distributed systems is far more valuable than memorizing AWS terminology.
How To Start Learning AWS#
If you are new to AWS, the best approach is to start with core services like EC2, S3, and RDS before exploring advanced topics. Hands-on practice is essential, as theoretical knowledge alone is not enough to build confidence.
Over time, you should focus on understanding how different services interact and how they are used in real-world architectures. This approach not only helps in interviews but also prepares you for practical development work.
Final Thoughts #
Understanding what is AWS is not just about learning a cloud platform but about embracing a new way of building and scaling applications. It fundamentally changes how developers think about infrastructure, cost, and performance.
As you continue your learning journey, focus on connecting concepts rather than memorizing details. This mindset will not only help you succeed in interviews but also make you a more effective engineer in real-world scenarios.
