Back to blog
  • AWS
  • Cloud
  • Automation

Building a Scalable Application with AWS Serverless: Lambda, API Gateway, DynamoDB and S3

How to design a scalable application on AWS serverless: Lambda, API Gateway, DynamoDB and S3 let you ship faster without managing servers or planning capacity.

AVAdam VigašDevOps Engineer
3 min read
Building a Scalable Application with AWS Serverless: Lambda, API Gateway, DynamoDB and S3

In a digital era where development speed and the ability to react to changing user needs are decisive, the flexibility and scalability of an application matter enormously. The traditional approach to building and managing servers can be slow and expensive. That is why more and more organizations are turning to serverless architecture: an approach in which developers do not have to manage servers at all and can concentrate purely on application functionality and logic. AWS (Amazon Web Services) is one of the leaders in this area and offers a whole range of services that let you design modern applications without building and maintaining infrastructure. In this article we show how to design a scalable application using AWS services such as Lambda, API Gateway, DynamoDB and S3.

What serverless means and why it pays off

The term "serverless" does not mean the application runs without servers. It means that looking after the servers, their provisioning, management, monitoring and scaling, is taken over by the cloud provider. The developer does not have to deal with any of it and can focus fully on building the application's own functions. This approach significantly speeds up the release of new features, reduces operating costs and makes it easy to scale on demand. When nobody is using the application, you pay nothing for compute. When user numbers grow, the system adapts automatically and handles the higher load.

What a typical serverless application on AWS is made of

A typical serverless application on AWS combines several services that together form a complete and efficient solution. The foundation is AWS Lambda, which runs code in response to a specific event, for example an HTTP request, a file upload to storage or a record written to a database. API Gateway acts as the gateway between the user and the Lambda function: it accepts HTTP requests and takes care of routing them. Data is stored in Amazon DynamoDB, a high-performance NoSQL database that can serve a large number of requests at once. Amazon S3 provides storage for files, images or static websites. Together these services form a base on which you can build a simple API, a mobile application, an internal tool or a full-blown web service.

What it looks like in practice

Imagine an application that lets users upload photos. The static front end is stored in Amazon S3 and accessed through a browser. The user submits a photo through a form, and the request travels through API Gateway to a Lambda function. That function processes the image metadata and stores it in DynamoDB. The photo itself is then saved to S3. Once the upload finishes, another Lambda function can be triggered automatically to generate a thumbnail or start a content moderation process. The whole system is designed to cope with small and large request volumes alike, without any need to change the infrastructure.

Why serverless architecture makes sense

The biggest advantage of serverless architecture is its ability to scale to exactly what you need. If you have few users, your costs are minimal. If you hit a peak, AWS makes sure the system copes with the load. There is no capacity planning and no investment in reserved servers. That gives the development team more room to build, test and release new functionality.

On top of that, you only pay for what you actually use. Lambda bills only for function execution time and the number of requests. DynamoDB offers both an on-demand model and a provisioned mode, depending on what you need. API Gateway and S3 have transparent pricing models that work well for small and large applications alike.

Conclusion: simpler development, lower costs, greater flexibility

The serverless approach on AWS opens the door to faster development and operation of modern applications. It suits teams that want to grow without unnecessary obstacles and to focus on what matters, which is the product itself. Services such as AWS Lambda, API Gateway, DynamoDB and S3 form a platform that can be used in hundreds of different ways. So if you are planning a new project, or you want to optimize an existing solution, serverless is a model worth considering.

Share this article

Bring us the hard part.

Contact us