AWS… there’s a lot of buzz about it in the tech world. Everyone says it’s a valuable skill, companies want it, salaries go up with it — all that good stuff. But the real question is:
What actually is AWS?
Sure, I could tell you it’s a “comprehensive cloud services platform that offers scalable computing solutions” and blah blah blah… 😴
And yes, I could show you this big list of services inside the AWS console:
…but let’s be honest.
If you’re an absolute beginner, none of this is going to make sense.
You’ll look at all these weird icons and service names… and you might even end up thinking:
“Bro, what is all this? Why so many??” 🤦
And eventually you might feel overwhelmed, bored, or even give up on AWS before you really start.
That would be a terrible way to begin.
So we’re not doing that today.
Instead, we’re going to understand the big picture behind AWS — in the simplest, friendliest way possible — by talking through three main topics:
What kind of problems do we face when we don’t use a cloud provider like AWS?
How AWS solves those problems and saves us from a ton of headaches.
What this whole “cloud” thing really means, and why AWS is called a cloud services provider.
Alright then…
Let’s jump into today’s content 🙂 Shall we?
What kinds of problems do we face without AWS?
Imagine this: you come up with a cool new app idea… something like Uber, but with a few extra features you know Uber should’ve added years ago. So you decide to build it and name it RideMate.
You’re a pretty experienced software engineer — you’ve been planning, designing, and building apps for years. So you know exactly how to bring this idea to life. And of course, a couple of your friends from work jump in to help you out (because they’re cool and supportive people like that 😌).
Together, you build the first version of RideMate. I’m not going to dive into which languages or frameworks you used, because that’s not what this blog is about (and also… those details aren’t important for understanding this example).
But there’s a problem… ⚠️
Right now, the only person who can use RideMate is you — because it’s running on the same device you used to develop it, and there’s no way for real users to access it in this setup.
So now you need to put it on the internet so real users can access it — passengers looking for a ride and drivers wanting to join.
To do that, you decide to make RideMate publicly accessible. You buy a domain name — something cool like ridemate.com. That way, users won’t have to type your computer’s scary-looking IP address 😅.
But again, I won’t go deep into how you make it publicly accessible on the internet, because that’s not the main goal here.
So… problem solved, right?
Everyone can now access RideMate just as you planned. You’re happy. Your customers are happy.
Everything is perfect… right? 😌
Well… sorry to ruin the party, but this is where the real nightmares begin 👀🔥
1. Your computer has to up and run 24/7 😵💫
The first problem is that the computer you’re using to run RideMate has to stay on 24 hours a day, 7 days a week. Why? Because RideMate needs to be available all the time for your users — anytime someone wants a ride.
But here’s the issue:
your poor computer can’t survive that forever 🖥️💀.
When a machine runs nonstop, it produces a lot of heat, and your cooling fans are not going to save the day. Over time, internal components can get damaged due to overheating — and eventually, the entire computer will stop working.
And when that happens… RideMate goes down.
Your users open the app, and all they see is a lovely message like this:
2. Electricity cost becomes a total nightmare ⚡💸
Well, let’s say you somehow manage to keep your computer running non-stop without any hardware failures. Maybe you set up a ventilation system or keep the whole room cool like a mini–data center 😅.
So now overheating isn’t a problem anymore.
But here’s the next issue…
Your computer is running 24/7, and whatever cooling setup you’re using is also running 24/7.
Both of them together are eating up a huge amount of electricity — and at the end of the month, you’ll receive a beautiful electricity bill that will probably make you cry 😢.
3. Hardware failures = more money + more headaches 🔧💸
When a machine runs continuously without breaks, it's internal components like the RAM, motherboard, power supply, Storage drives (HDDs/SSDs) and Network card can wear out over time. A cooling system can protect against overheating, but it can’t stop the long-term damage caused by nonstop usage.
And when something finally fails, you’ll have to replace parts — which means extra cost for you.
But the cost isn’t even the worst part…
If a component dies, you have to troubleshoot and fix the hardware yourself. Now you’re a software engineer suddenly acting like a hardware technician.
And if that’s not something you want to deal with, your only other choice is to hire someone to fix it — which adds even more expense.
Well, as far as we can imagine, those three are just some common — but still very troubling — problems you’ll face when hosting RideMate on your own computer.. But there’s more if you’re interested:
• Scaling compute resources
If RideMate becomes popular and attracts more users, you’ll need to allocate more compute resources — like memory, CPU cores, and network bandwidth — to handle the extra load. This is called scaling compute resources, and it’s something you simply can’t do with your own computer hardware.
• Global latency issues
If RideMate has users from different countries, they may experience very different latencies — meaning the time it takes for a request to travel over the internet and return a response. To fix this, you’d need to host RideMate on multiple computers in different locations around the world, carefully choosing locations to match your global user base. Again, this is not feasible with a single personal computer.
• Disaster Recovery
Disasters can happen anytime, and when a large-scale disaster hits, it can affect a wide geographical area. If your computer happens to be in that area, your entire infrastructure could be destroyed, and RideMate would go offline, leaving users unable to access it.
And the worst part?
You’ll lose everything connected to that machine — all the valuable information RideMate processes, like user data, ride details, and payment information. Once the machine and its storage devices are gone, there’s no way to recover that data.
Sure, you might have backups of your important business data.
But here’s the real question:
Where are those backup devices kept?
Right next to your computer?
In your office room?
Somewhere close by?
Most people store backups in the same place they work. So if a disaster hits that area, your backups will probably be destroyed too.
This is why the old saying exists:
“Don’t keep all your eggs in one basket.”
The real solution is to host RideMate on multiple computers in completely different locations.
If one computer is destroyed by a disaster, the others will still be running, and your users can access RideMate without any problems.
And yes — We talked a little about this in the previous one, as we already discussed this kind of setup is not something you can build on your own.
How AWS has solved these Problems for us?
By now, with all the trouble you’ve seen, it’s pretty clear that hosting RideMate on your own computer is not an ideal solution.
In the end, you’ll just spend a ton of money trying to build a tiny, low-quality “mini data center” in your room… which you have to maintain… and still everything breaks anyway. Not fun.
Now imagine this:
You’re stressed, frustrated, and maybe questioning all your life choices — and suddenly someone walks up to you and says:
“Hey buddy 😎
I’ve been watching your struggle… and I’ve got something that will make your life way easier.I own hundreds of thousands of computers, and I keep them inside huge, secure buildings.
They run 24/7 without interruption — I guarantee high availability.I cool them with powerful cooling systems, so overheating is not a problem.
I pay all their electricity bills.
If a computer part breaks, I replace it immediately.
And I even have trained professionals working full-time just to maintain them.But… I don’t call them ‘computers’.
Sure, they are computers — just like yours 🤭 — but I call them servers.
Why? Because they’re designed to serve data and resources to other computers (called clients) over a network.So from now on, let’s call my machines ‘servers’.
Now here’s the good part:
You don’t have to maintain your own infrastructure anymore.
Just use mine.
You only need to pay a small amount, and I promise—it’s way cheaper than running your little mini data center at home 😁.”
Sounds awesome, right?
But now you might wonder:
“Wait a minute… how is that payment always cheaper than my costs?
Is this some kind of scam?
Am I being conned??”
Surprisingly… no. You’re not.
You see… this person is running a massive enterprise-level business, and he’s doing it extremely well. He earns a lot by renting these servers to individuals and companies all around the world.
Because his business is so large, even a tiny portion of his income is enough to cover things like:
- electricity bills
- cooling systems
- server replacements
- salaries for maintenance teams
So the cost he asks from you is way lower than what you would spend running everything on your own.
And this, my friend, is exactly what cloud service providers do — companies like AWS (Amazon Web Services).
AWS is not the only cloud provider out there.
You also have:
- Microsoft Azure
- Google Cloud Platform (GCP)
- Oracle Cloud Infrastructure (OCI)
… and a few others.
But in this blog, we’re focusing on AWS because it’s the most comprehensive and leading cloud provider in the market right now.
Once you understand cloud computing fundamentals and start learning AWS, you can master it step by step. And when you gain experience, it becomes much easier to learn other cloud platforms too — because they all follow the same fundamental concepts.
(Just a little bonus tip 😉)
Alright!
We’ve seen how AWS solves the common — but very troubling — problems you face when hosting RideMate on your own computer.
Now let’s dive deeper into how AWS handles the bigger challenges too — like scaling, disaster recovery, and much more. 💪🔥
How AWS Solves the Scaling Problem (Auto-Scaling Explained Simply)
Alright, let’s talk about scaling.
Remember earlier, when we said that if RideMate becomes popular, your single computer simply can’t handle thousands of users requesting rides at the same time? That’s the whole reason we even need “scaling” — your system must grow whenever the user load grows.
Now normally, if you’re running RideMate on your own computer, scaling is almost impossible. You can’t magically add more RAM or CPU in the middle of the night when users suddenly spike. And even if you could, you’d eventually hit a physical limit anyway.
But this is where AWS steps in and says:
“Relax. I can automatically give you more power… exactly when you need it.” 😎
This magic is called auto-scaling.
Here’s how auto-scaling solves your problem — in the simplest way possible:
1. AWS watches your app for you (24/7). 👀
You don’t have to constantly check whether RideMate is getting slow or overloaded.
AWS has a little “monitoring brain” built into it that keeps an eye on things like:
- how busy your server is,
- how much CPU it’s using,
- how many users are hitting your app at the same time.
Don’t worry — you don’t need to remember what it’s officially called.
Just think of it like AWS saying:
“Hey, I’m watching your app. If it starts struggling, I’ll fix it for you.”
2. When user traffic increases, AWS adds more servers automatically.
Let’s say RideMate suddenly gets a surge of users — maybe it’s a rainy Friday evening and everyone wants a ride home.
On your own computer?
Everything would slow down…
Users would complain…
And eventually, your app might crash.
But on AWS?
AWS instantly adds more servers to help your app handle the extra traffic.
It’s like having one waiter trying to serve an entire restaurant — and as soon as things get busy, AWS sends in five more waiters automatically, without you lifting a finger.
3. When traffic goes down again, AWS removes the extra servers.
This is the best part.
Let’s say the rush is over and fewer people are using RideMate.
In your own setup, those extra machines would sit there doing nothing — wasting electricity and money.
But AWS is smart.
When traffic drops, AWS shuts down the extra servers automatically, so you stop paying for them.
You only pay for what you actually used, nothing more.
4. This keeps RideMate fast… and keeps your cost low.
So with auto-scaling:
- Your app stays smooth during peak hours.
- You don’t get random slowdowns.
- You don’t need to manually add or remove anything.
And you save a huge amount of money because AWS only gives you more servers when you truly need them.
In short:
Auto-scaling is like AWS saying:
“Don’t worry about handling traffic — I’ll grow your infrastructure when things get busy, and shrink it when things become quiet.”
This is something a single personal computer could never do.
But with AWS, scaling becomes automatic, painless, and completely hands-off.
How AWS Handles Disaster Recovery (Regions + Availability Zones Explained Simply)
Alright, now let’s talk about how AWS makes sure RideMate survives even the worst disasters — earthquakes, floods, power failures, massive network outages…
And the cool part?
AWS does this using two simple ideas: Regions and Availability Zones.
Let’s break them down in a super simple way 👇
1. AWS Regions 🌍
A Region is basically a geographical area where AWS has built its infrastructure.
Example:
- Singapore Region
- Tokyo Region
- Mumbai Region
- London Region
- Virginia (USA) Region
… and many more.
Think of AWS Regions like major cities around the world where AWS has huge buildings and data centers that full of servers. Each region works independently.
Because if one entire region is hit by a disaster (like a massive power outage or earthquake), your app can instantly switch to another region and keep running.
It’s like keeping one copy of your RideMate “brain” in Singapore, and another backup copy in Tokyo — thousands of kilometers apart.
If Singapore goes down, Tokyo is still standing.
2. Availability Zones 🏢
Inside every Region, AWS has one or more Availability Zones (often called AZs). You can imagine each AZ as a separate, heavily protected data center building — with its own:
- electricity
- cooling
- networking
- physical security
And the important part:
These AZs are close enough to talk to each other quickly, but far enough apart that one disaster won’t affect all of them.
For example, in the Singapore Region you might have:
- Availability Zone 1
- Availability Zone 2
- Availability Zone 3
So even if AZ-1 gets hit by a a fire, a flood, or a massive power failure… AZ-2 and AZ-3 are keep running smoothly.
Now that you understand AWS Regions and Availability Zones, you can also take a look at how far AWS’s global infrastructure has spread across the world, if you’re curious.
3. How AWS protects RideMate with these two layers 🛡️
AWS simply says:
“Don’t store everything in one place. Use multiple Availability Zones or Regions.”
Here’s how it works for RideMate:
Scenario 1: A single building (Availability Zone) fails
Let’s say you host RideMate in Singapore AZ-1 and suddenly a huge power outage happens there.
Is RideMate gone?
Nope.
Because AWS automatically shifts your traffic to AZ-2 or AZ-3 — and your users won’t even notice a single hiccup 😎
This gives you:
- redundancy
- high availability
- zero downtime during small-scale failures
Scenario 2: An entire Region fails
This is very rare, but AWS still prepares for it.
If the whole Singapore Region somehow goes down,
you can choose to keep a copy of RideMate in another Region — like Tokyo or Mumbai.
So AWS can instantly route your users there.
Your app stays online.
Your data stays safe.
Your business continues to run.
This level of protection is almost impossible to achieve on your own.
A simple example to tie it all together 🧩
Let’s imagine you host RideMate like this:
- Your main servers run in Singapore (AZ-1 + AZ-2)
- A backup copy of your data is stored in Tokyo (Region)
Now picture a giant disaster:
Singapore loses electricity, or a massive outage hits the area.
If you were hosting RideMate on your own machine?
Everything = gone 💀
But with AWS?
AZ-1 goes down → AZ-2 still works
→ RideMate continues running.Worst case: entire Singapore Region goes down
→ AWS automatically switches to your backup servers in Tokyo.
Your users won’t see errors.
Your app won’t crash.
And you won’t lose your data.
This setup is called multi-AZ or multi-region deployment — but don’t worry about the fancy terms.
Just remember:
AWS keeps copies of your app in multiple safe places so one disaster can’t destroy everything.
Side Effect Benefit: AWS Also reduces latency for global users 🌎⚡
Now… here’s a nice bonus that comes from this system.
Because AWS has regions all around the world, you can keep RideMate close to your users, no matter where they live. RideMate users get served from the Region closest to them.
Let’s say RideMate becomes popular in:
- Singapore
- India
- Europe
Instead of everyone connecting to one far-away server, you can put your app in multiple regions:
- Singapore users connect to Singapore servers (super fast ⚡)
- Indian users can connect to Mumbai servers
- European users connect to London or Frankfurt servers
So their requests don’t have to travel across the world like a long-distance phone call.
This reduces latency — meaning your app feels much faster for everyone.
Not because you did anything special…
but because AWS already built a global infrastructure for you.
So even though the whole disaster recovery feature is designed for safety,
it also makes your app feel faster worldwide.
It’s like having multiple pizza shops in different cities 🍕😄
People get their pizza quicker because it’s coming from the closest shop.
We’ve Only Scratched the Surface…
Alright — by now, you’ve seen how AWS solves some huge headaches for us:
scaling, disaster recovery, global performance, hardware failures, electricity costs, and more.
But here’s the fun part…
These are just the major problems.
AWS actually solves many more challenges behind the scenes — things you might not even think about at first, but still matter a lot when building something like RideMate.
Here are a few more examples (in case you're curious 😉):
- Monitoring & Alerts — AWS can notify you instantly when something goes wrong.
- Security & Access Control — You can control exactly who can access what.
- DDoS Protection — AWS shields your app from massive malicious traffic attacks.
- Automatic Backups & Snapshots — No need to manually back up systems anymore.
- Managed Databases — You don’t have to install, patch, or maintain databases yourself.
- Load Balancing — AWS automatically spreads traffic across servers.
- Auto Deployments (CI/CD) — Makes updating your app safe and easy.
- Centralized Logging — All logs from all systems in one place.
- Infrastructure as Code — You can create entire environments using reusable templates.
- Serverless Computing — Run code without managing any servers at all.
- Content Delivery (CDN) — Your app loads fast for users around the world.
And honestly… the list goes on 😄.
But don’t worry — we’re not going to dive into all of that right now.
We already covered the most important parts for understanding why AWS is such a powerful solution for hosting your app.
with the basic knowledge you’ve gathered so far — Regions, AZs, auto scaling, and the general idea of cloud-based problem-solving — you already have everything you need to explore deeper on your own. 🚀
So if any of these points sparked your curiosity, go check them out. Even a small bit of extra reading will make the whole AWS world feel easier and more familiar. Keep following your curiosity — it’s your best learning tool.
So… what does this “cloud” really mean? And why AWS is known as a Cloud Services Provider?
You know, people throw this word around everywhere — cloud storage, cloud servers, cloud apps, whatever. But most folks don’t really know why it’s called “the cloud” in the first place. And honestly, it’s much simpler than you might think.
Back in the old days (not that old), network engineers used to draw these little diagrams to show how computers were connected. Instead of drawing the entire internet — because who has time for that — they just drew a small ☁️ shape and wrote something like “the internet” inside it. That cloud symbol basically meant:
“This is a big network out there… we don’t control it… and you don’t need to worry about how it works.”
That’s all.
So later, when companies like AWS came along and said,
“Hey, instead of running everything on your own computer, you can run it in our massive, global network…”
People already had this symbol in their heads.
A big, outside network.
Somewhere “out there.”
Someone else handles it.
So the name “cloud” just stuck.
And honestly, it kinda fits. When you use AWS, your app isn’t running on a specific laptop or a PC under your table anymore. It’s running somewhere inside this giant global network, floating above all the hardware details you don’t need to see. You just build your app, and the cloud handles the rest.
Now here’s the fun part —
just like we never climb into the clouds in the sky to check what’s happening inside…
we also don’t walk into AWS data centers to see exactly which server we’re using.
We don’t need to.
We just use the service, and the cloud handles everything behind the scenes.
And that’s really all the “cloud” means.
Top comments (2)
Thanks for this post! Your explanations of AWS services were very clear and easy to read. I especially liked how you used everyday examples to make the concepts simple. Keep up the good work!
Thank you ❤️