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One of the most common misconceptions in cloud computing is this:
“If it runs in the cloud, it must be serverless.”
That assumption is incorrect.
While cloud computing and serverless computing are related concepts, they are not the same thing. A perfect example of this confusion is Amazon EC2. Many beginners assume EC2 is serverless simply because it runs on AWS infrastructure.
In reality, EC2 is not serverless and understanding why will help you design better, more cost-efficient architectures in AWS.
In this article, we’ll break down:
- What cloud computing really means
- What serverless computing actually is
- Why Amazon EC2 is not serverless
- Key differences between EC2 and AWS Lambda
- When to use EC2 vs serverless
Let’s clear up the confusion once and for all.
What Is Cloud Computing?
Cloud computing means you rent computing resources (servers, storage, networking) from a provider like AWS instead of owning physical hardware.
With Amazon EC2, you can:
- Launch virtual machines (instances)
- Choose your operating system
- Configure networking
- Attach storage
- Control security groups
You don’t manage physical hardware AWS does that.
But here’s the key point:
You still manage the server.
That’s why EC2 falls under:
Infrastructure as a Service (IaaS)
IaaS provides virtualized computing infrastructure. You get flexibility and control but also responsibility.
What Is Serverless Computing?
Serverless computing does not mean there are no servers.
It means:
- You don’t provision servers
- You don’t manage servers
- You don’t scale servers
- You don’t patch operating systems
The cloud provider handles all infrastructure management.
A popular example is AWS Lambda.
With Lambda:
- You upload your code.
- It runs on demand.
- It automatically scales.
- You pay only when your code executes.
This model is known as:
Function as a Service (FaaS)
Serverless is about abstraction. The server exists but it’s invisible to you.
Why Amazon EC2 Is Not Serverless
Now let’s clearly break down why EC2 does not qualify as serverless.
1. You Must Provision Instances
With EC2, you:
- Choose instance type (t2.micro, m5.large, etc.)
- Select an AMI
- Configure networking
- Decide storage size
That means you are provisioning infrastructure manually.
In serverless computing, you never choose a server size.
2. You Manage the Operating System
When using EC2, you are responsible for:
- OS updates
- Security patches
- Installing dependencies
- Managing runtime environments
With AWS Lambda, you don’t patch an OS.
This operational responsibility alone makes EC2 non-serverless.
3. Scaling Is Not Fully Automatic
EC2 can scale but you must configure:
- Auto Scaling Groups
- Load Balancers
- Scaling policies
In contrast, Lambda scales automatically based on incoming requests.
No configuration required.
4. You Pay for Uptime, Not Execution
EC2 pricing model:
- Pay per second (or hour)
- Charged while instance is running
- Even if no traffic
Lambda pricing model:
- Pay per request
- Pay per execution time (milliseconds)
This is a major difference in cost structure between EC2 vs Lambda.
5. You Are Responsible for Availability
With EC2:
- You design high availability
- Configure multiple AZ deployments
- Manage failover strategies
Serverless services handle most of this automatically.
EC2 vs Lambda: Side-by-Side Comparison
| Feature | Amazon EC2 | AWS Lambda |
|---|---|---|
| Server Provisioning | Manual | None |
| OS Management | Required | Not required |
| Scaling | Configured by user | Automatic |
| Billing | Pay while running | Pay per execution |
| Infrastructure Control | Full control | Limited control |
| Category | IaaS | FaaS (Serverless) |
This table clearly shows why EC2 is not serverless.
The Core Difference: Responsibility
The real difference between cloud computing vs serverless computing comes down to:
Who manages the server?
With EC2 → You manage it.
With Lambda → AWS manages it.
Serverless reduces operational overhead. EC2 gives flexibility and control.
Common Misconception: “Cloud Means Serverless”
Let’s fix this myth.
Cloud computing has multiple service models:
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Function as a Service (FaaS)
Amazon EC2 belongs to IaaS.
AWS Lambda belongs to FaaS.
Not all cloud services are serverless.
When Should You Use Amazon EC2?
Even though EC2 is not serverless, it is extremely powerful.
Choose EC2 when you need:
- Full control over the OS
- Custom software installations
- Long-running applications
- Stateful applications
- Specific hardware configurations (GPU, high memory)
- Legacy system migration
EC2 is ideal for traditional server-based workloads.
When Should You Use Serverless?
Choose AWS Lambda when you need:
- Event-driven applications
- Microservices
- APIs
- Background jobs
- Unpredictable traffic
- Reduced operational management
Serverless is excellent for agility and cost efficiency at scale.
Advanced Discussion: The “Shared Responsibility” Model
AWS operates under a shared responsibility model.
With EC2:
- AWS manages hardware.
- You manage OS, patches, applications.
With Lambda:
- AWS manages hardware + OS.
- You manage only your code.
This reduction in responsibility is what makes serverless different.
Is EC2 Becoming More “Serverless”?
AWS continues to release higher-level managed services. However, EC2 remains fundamentally infrastructure-based.
Even if you automate EC2 with:
- Auto Scaling
- Managed images
- Infrastructure as Code
You are still managing servers.
Automation does not equal serverless.
Final Verdict: Why Amazon EC2 Is Not Serverless
Let’s summarize clearly:
Amazon EC2 is not serverless because:
- You provision instances
- You manage operating systems
- You configure scaling
- You design availability
- You pay while instances run
Serverless computing removes infrastructure management.
EC2 still requires infrastructure management.
Cloud ≠ Serverless.
And understanding this difference is essential for modern cloud architecture design.
Conclusion
Amazon EC2 is a foundational AWS service that provides flexible, scalable compute power. But it is not serverless.
Serverless computing like AWS Lambda abstracts server management entirely. EC2 does not.
Both have their place.
The real skill in cloud architecture is knowing when to use EC2 and when to use serverless.
If you understand that difference, you’re already ahead of many cloud beginners.
- If you want to explore AWS, start your training here.



