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AWS

Introduction

Most people meet AWS the wrong way. They open the console, see two hundred services, panic, and conclude that "the cloud" is impossibly complicated. It isn't. Almost everything you'll build for years rests on a small handful of services: a server to run code (EC2), a place to store files (S3), a network to put them in (VPC), a way to control who can touch what (IAM), and a managed database (RDS). Learn those five well and the other 195 services start to look like variations on ideas you already understand.

This series takes that route deliberately. We start from "what is a cloud, really" and end with a containerized Java app running on AWS, deployed the way teams actually deploy.

What is AWS

AWS - Amazon Web Services - is a collection of on-demand computing services you rent over the internet, billed by usage. Instead of buying a server, racking it in a building, cooling it, and replacing its disks at 2 a.m., you ask Amazon for a server and one exists a minute later. When you stop needing it, you turn it off and stop paying.

That single shift - from owning infrastructure to renting it on demand - is the whole idea. Everything else is detail.

   Old way (on-premises)              AWS way (cloud)
   ─────────────────────             ────────────────
   buy hardware up front       →     rent capacity by the hour
   guess capacity for 3 yrs    →     scale up/down in minutes
   you fix the broken disk     →     Amazon fixes the hardware
   weeks to get a server       →     a server in ~60 seconds
   big cheque, then it's yours →     pay only for what you use

Why AWS specifically

It was first. AWS launched in 2006, years ahead of competitors, and that head start compounded into the largest service catalogue, the most regions, and the deepest documentation pool on the internet. For a learner that last point matters more than it sounds: when you hit an error at 11 p.m., someone has already hit it, asked about it, and answered it.

Azure and Google Cloud are excellent and the concepts transfer almost perfectly - a virtual machine is a virtual machine everywhere. We use AWS because it's the most common in job listings and has the gentlest free-tier on-ramp, not because the others are wrong.

How this series is organized

The path is roughly the order you'd build a real system in:

StageWhat you learnThe "aha"
FundamentalsCloud models, regions, accounts, the consoleWhere your stuff physically lives
IAMUsers, roles, policiesWho is allowed to do what
EC2Virtual servers, storage, networking basicsRunning your own machine in the cloud
Load balancing & scalingALB, target groups, Auto ScalingSurviving traffic without manual work
S3 & static hostingObject storage, website hosting, AmplifyStoring and serving files cheaply
RDSManaged databasesLetting Amazon babysit your MySQL
VPC & Route 53Private networks, DNSDesigning the network your app lives in
Monitoring, CLI, IaCCloudWatch, AWS CLI, CloudFormationOperating and automating it all
ProjectsBeanstalk, ECS + ECRShipping real apps end to end

A word on cost before you touch anything

The cloud bills you for what you leave running, not what you intended to use. The single most common beginner mistake is launching resources to experiment, forgetting them, and getting a surprise invoice. We'll set up a billing alarm early, lean on the free tier, and the habit throughout this series will be the same: if you started it for a demo, tear it down when the demo's over.

Treat your AWS root account email and password like your bank login. A leaked AWS key can be used by attackers to spin up expensive resources on your dime within minutes. The IAM section is not optional reading.

Start with What is Cloud Computing? and work down the sidebar in order. Each page assumes the one before it.

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