Serverless computing is a cloud computing model in which developers run code and applications without the need to manage servers and infrastructure. Within this model, all tasks related to deploying, scaling, and maintaining server resources are handled automatically by the cloud provider.
Despite the name, servers still exist in a serverless architecture. The difference is that developers and companies do not interact with them directly. Management of the operating system, updates, resource scaling, and load balancing are entirely handled by the cloud platform.
The serverless model is widely used in the development of modern web applications, API services, mobile applications, and microservices architectures. It allows developers to focus on writing code and application logic without spending time configuring infrastructure.
How serverless computing works
In a serverless architecture, code runs as individual functions or services that are executed only when a specific event occurs. This event may be an HTTP request, a file upload, a message in a queue, or a change in a database.
A typical workflow looks as follows:
- a developer uploads a function or application to the cloud platform
- the system waits for an event that should trigger the execution of the code
- when the event occurs, the function automatically runs
- after the execution is completed, the resources are released
This model is called event-driven architecture — an architecture driven by events.
Key advantages of Serverless
Using serverless computing provides companies with several advantages:
- Automatic scaling. The platform automatically increases or decreases computing resources depending on the workload.
- Pay only for usage. Clients pay for the actual execution time of functions rather than for continuously running servers.
- Simplified infrastructure management. There is no need to configure servers, update systems, or monitor hardware.
- Faster development. Developers can launch new services and features more quickly.
Thanks to these advantages, the serverless model is widely used in startups, SaaS projects, and systems with variable workloads.
Where serverless computing is used
The serverless approach is used in many areas of IT system development and operation.
The most common scenarios include:
- processing API requests
- image and file processing
- automation of tasks and background processes
- event processing in microservice systems
- integration of different services
For example, when an image is uploaded to a website, a function may automatically run that resizes the image, stores it in storage, and sends a notification to the user. All computations are performed only when needed, without continuously running servers.
Serverless and traditional server infrastructure
In the traditional model, companies rent virtual servers or place their own equipment in data centers. In this case, specialists must independently manage the operating system, install updates, monitor security, and scale the infrastructure.
Serverless architecture transfers all these tasks to the cloud provider. This reduces the administrative burden on development teams and allows companies to launch digital services more quickly.
However, serverless does not always completely replace traditional infrastructure. Many projects use a hybrid model in which part of the systems runs on virtual servers or within colocation infrastructure, while specific tasks are executed through serverless functions.
Popular serverless computing platforms
There are several major cloud platforms on the market that offer serverless solutions.
The most well-known are:
- AWS Lambda
- Google Cloud Functions
- Microsoft Azure Functions
These services allow developers to run code in various programming languages, automatically scale computing resources, and integrate with other cloud services.
Thanks to these platforms, companies can build flexible and scalable systems without the need to deploy their own server infrastructure.