What is Serverless? Concept, Advantages and Functionality

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Illustration of a digital network: On the left is a stylised server with multiple levels, on the right a computer screen. Above hovers a cloud with an upload and download symbol, representing cloud services. A folder symbol, an image symbol, and a source code symbol show the diversity of data. In the background, stylised purple leaves are visible, enriching the design.

What does Serverless mean?
Serverless computing is a cloud computing model where developers can run their applications and functions without having to manage servers. Unlike traditional methods where servers need to be set up, maintained, and scaled, cloud providers like AWS, Google Cloud, and Azure take care of these tasks completely.

In this model, processing occurs only on demand, and users pay only for the actual computing power used instead of for a fixed server. When a request is sent, the system automatically allocates the necessary resources and releases them after processing is complete.

One of the most common implementations of serverless is the concept of Function as a Service (FaaS), which allows developers to run independent functions without having to maintain dedicated servers.

Although the term 'Serverless' literally means 'without servers', there are actually still servers in the background. The difference is that developers do not have to manage them. 

Differences between Serverless and traditional architecture

In a traditional architecture, companies must manage physical or virtual servers, ensure security, and adjust resources according to website or application traffic. In the Serverless model, however, all of this happens automatically, and applications are only executed as needed.

Advantages of Serverless Computing

1. Cost efficiency

In a traditional architecture, companies must manage physical or virtual servers, ensure security, and adjust resources according to website or application traffic. In the Serverless model, however, all of this happens automatically, and applications are only executed as needed.

2. Automatic scaling

In classic architectures, scaling often requires manual intervention and high costs. Serverless solves this problem by automatically adjusting resources to meet demand. This is particularly useful during peak times such as Black Friday or marketing campaigns.

3. Less administrative effort

Since cloud providers manage the infrastructure, developers no longer need to worry about hardware, security configurations, or software updates.

4. Faster development times

As developers can focus on code implementation without dealing with servers or infrastructure, this significantly accelerates the development process.

5. High flexibility

Serverless architectures support microservices, allowing different components of an application to be developed, tested, and executed separately.

6. Improved security

Cloud providers like AWS, Google Cloud, and Azure use state-of-the-art security protocols and threat detection systems to minimise cyber attacks and data leaks.
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7. Environmental friendliness and resource optimisation

As computing power is only used when needed, energy and operating costs are reduced, which decreases environmental impact.

8. Faster response times

Due to the geographical distribution of cloud servers, user requests are processed by the nearest data centres, minimising latency.

9. Simple updates

Since serverless functions are executed in isolation, individual parts of the application can be updated without redeploying the entire system.

10. Compatibility with modern development models

Serverless is well-suited for DevOps, Continuous Integration/Continuous Deployment (CI/CD), and modern software development approaches.

Disadvantages of serverless computing

1. Cold start issues

When a function is executed for the first time, there may be a delay (Cold Start) as the resources need to be provisioned.

2. Dependency on cloud providers

Companies that use serverless are heavily tied to providers like AWS or Google Cloud, making it difficult to switch to other platforms (Vendor Lock-in).

3. Limited computing power

Cloud providers often impose restrictions on compute time, storage, and CPU usage, which can be problematic for complex applications.

4. Complicated troubleshooting and monitoring

As developers do not have direct access to the servers, debugging and monitoring are more difficult and often depend on the cloud provider's logs.

5. Less control over the infrastructure

Companies cannot make detailed network configurations or specific hardware adjustments.
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Summary

Serverless computing offers a flexible and cost-effective solution for modern software development. With the ability to pay only for the computing resources actually used and to fully delegate infrastructure management to cloud providers, developers can work faster and more efficiently. Although there are some challenges such as cold start issues and vendor dependency, the advantages outweigh the drawbacks, especially regarding scalability, security, and development time. Serverless is an ideal choice for many applications, but it is important to consider the specific requirements of your project before making a decision.
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Frequently Asked Questions

Yes, in many cases. However, applications with consistently high computing demands may incur higher costs.

No, particularly applications with strict infrastructure requirements may face challenges.

Mobin
CTO
I am a developer with expertise in the programming languages PHP and JavaScript, specialising in WordPress development. I am always eager to learn and look forward to discovering new skills. Additionally, I have experience with the Laravel framework and Flutter.

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