A practical cloud project: Build a URL shortener on AWS

Breaking into backend or cloud engineering can feel like learning an entire ecosystem at once. The best way to cut through the noise? Build something real.

But not just anything—build something small enough to finish, yet meaningful enough to teach real architectural thinking.

That’s why in today’s newsletter, we’re building a URL shortening service on AWS. It’s approachable, practical, and touches on key backend concepts like scalability, availability, caching, observability, and rate limiting—all essential to modern cloud applications.

Here’s what we’ll cover:

• How a URL shortening service works

• Core functional and nonfunctional requirements

• Step-by-step deployment on AWS

• Best practices for scaling and securing your service

By the end, you won’t just understand the theory—you’ll have a working, scalable service deployed using core AWS tools.

Let’s get to it.

Why use a URL shortener?#

Long URLs can be messy, hard to share, and even harder to track. On platforms with character limits or visual constraints—like Twitter, messaging apps, or emails—clean, concise links improve both usability and aesthetics.

But it's definitely not just about looks.

Most traditional URLs offer little to no insight into user behavior. In a data-driven world, knowing who clicked a link, when, and from where is critical for optimizing user experience, measuring engagement and ROI, and driving smarter decisions.

URL shorteners solve these problems:

• They generate compact, shareable links.

• They enable detailed tracking and analytics.

• They allow branded/custom domains to reinforce trust and identity.

• They help prevent link breakage in email clients or text messages.

Popular services like Bit.ly, TinyURL, Rebrandly, and T2M are widely used, though some companies prefer to build their own to gain full control over branding, analytics, and infrastructure.

What you'll learn while building this#

Beyond writing code, this project walks you through the real challenges of designing, deploying, and scaling backend systems.

Along the way, you’ll gain experience with:

• Practical cloud implementation: Working with different AWS services, you understand cloud-based architecture and how various services integrate seamlessly.

• Scalability and high availability: Learning to design and deploy a system that handles large traffic efficiently teaches you how to handle varying demands.

• Serverless and cost optimization: AWS Lambda and DynamoDB expose developers to cost-effective, serverless architectures.

• API development and caching: Building RESTful APIs and integrating caching solutions like Redis helps improve performance and reduce database load.

• Observability and monitoring: Utilizing AWS CloudWatch and X-Ray enables developers to track application health and optimize response times.

• CI/CD and automation: Setting up CodeDeploy and Auto Scaling enhances DevOps and automation skills.

Understanding the core workflow#

The workflow of the URL shortening service is quite simple and consists of three main steps:

1. User submits a long URL: The system accepts the input URL.

2. The system generates a unique short link: The service uses an algorithm to create a short alias.

3. User accesses the short link: When clicked, the system retrieves and redirects the user to the original URL.

Functional requirements of a URL shortening service#

• Short URL generation: The service should be able to generate a unique shorter alias of the given URL.

• Redirection: Given a short link, the system should be able to redirect the user to the original URL.

• Deletion: Given the rights, users should be able to delete a short link generated by our system.

• Expiry time: The short links must have a default expiration time, but users should be able to set the expiration time based on their requirements.

Nonfunctional requirements of a URL shortening service#

• Availability: The system should be highly available because even a fraction of a second of downtime would result in URL redirection failures. As the system’s domain is in URLs, we don’t have the leverage of downtime, and our design must have fault-tolerance conditions instilled in it.

• Scalability: The system should be horizontally scalable with increasing demand.

• Readability: The short links generated by our system should be easily readable, distinguishable, and typeable.

• Latency: The system should perform at low latency to provide the user with a smooth experience.

• Unpredictability: From a security standpoint, the short links generated by our system should be highly unpredictable. This ensures that the next-in-line short URL is not serially produced, eliminating the possibility of someone guessing all the short URLs that our system has ever produced or will produce.

Planning the architecture#

Now that we've covered the functional and nonfunctional requirements of this project, let's get ready to deploy our URL shortening service!

First, to ensure scalability, availability, and performance, our system should consist of the following key components:

1. Database#

A database is required to store mappings between long and short URLs while ensuring uniqueness. It also retrieves the original URL when a short URL is accessed. Additionally, it can store metadata such as click counts, geolocation, and timestamps for analytics. A NoSQL database (e.g., Amazon DynamoDB) is preferred due to its high scalability, low-latency reads, and flexible schema, which fits well with the key-value nature of URL mappings.

2. Short URL generator#

The short URL generator is responsible for creating unique, readable short URLs. This can be achieved using:

• A custom algorithm that generates unique strings.

• A combination of sequencer and Base-58 encoder approach:

  • A sequencer generates unique 64-bit numeric IDs.

  • A Base-58 encoder converts numeric IDs into alphanumeric short URLs, ensuring readability and avoiding ambiguous characters (e.g., '0' vs. 'O', 'l' vs. '1').

We can host the URL shortener on an EC2 instance, a scalable computing resource that provides the flexibility to handle varying traffic loads efficiently.

3. Load balancer#

A load balancer (AWS Elastic Load Balancing (ELB)) distributes traffic across multiple servers to maintain high availability and low latency. This ensures:

• Efficient request routing to the least busy or geographically nearest server.

• Scalability to handle high traffic loads.

4. Caching#

A caching layer (e.g., Amazon ElastiCache with Redis or Memcached or a DAX cluster) is introduced to reduce database lookup times and improve performance. Frequently accessed short URLs are stored in cache to serve requests faster and reduce database load.

5. Rate limiter#

A rate limiter (e.g., AWS API Gateway throttling, AWS WAF, or a custom Redis-based rate limiter) is implemented to protect the system from abuse and excessive load. It limits the number of requests per user within a given time window, ensuring security and fair usage.

The table below summarizes how each component contributes to the system’s overall functionality:

Deploying a URL shortening service on AWS#

With these components in place, we're ready to deploy!

We can design and deploy a highly efficient and scalable URL shortening service on AWS. Below is a sample architecture diagram of a URL shortening service deployed over AWS:

In this architecture, we have:

• DynamoDB: Stores the key-value pairs of short URLs and their corresponding long URLs. It also stores metadata such as click counts, timestamps, and geolocation for analytics.

• DAX cluster: Caches frequently accessed URL mappings to reduce latency and offload read requests from DynamoDB. It seamlessly integrates with DynamoDB, reduces DynamoDB read costs, and improves performance for frequently accessed URLs.

• EC2 instances: Host the backend application responsible for generating short URLs, redirecting users to the original URLs, and handling API requests for URL creation and analytics. EC2 provides full control over the application environment and can be scaled horizontally using Auto Scaling.

• Application Load Balancer (ALB): Distributes incoming traffic across multiple EC2 instances to ensure high availability and low latency.

• AWS WAF (Web Application Firewall): Protects the service from malicious traffic, abuse, and bot attacks by implementing rate limiting and IP blocking. It provides a robust security layer to prevent abuse and ensure service availability, and it is easily customizable to meet specific security needs.

You’re not restricted to these services; you can replace EC2 with AWS Lambda and use API Gateway to connect the frontend to the service. Additionally, you can configure rate limiting in API Gateway to manage incoming request traffic effectively.

What's next?#

Building a URL shortening service might seem simple, but deploying it on AWS will give you real, job-ready experience in modern backend engineering.

Throughout this project, you’ve touched on real-world architecture challenges: designing for scale, managing latency, implementing caching, and securing your infrastructure. You’ve worked with key AWS services like DynamoDB, EC2, Lambda, and CloudWatch, and you've seen how they come together to power a reliable, scalable application.

To get even more from this experience, we recommend diving into our Cloud Lab: Building a URL Shortening Service on AWS. It’s a guided, step-by-step walkthrough that helps you deploy the full stack, apply best practices, and deepen the understanding of AWS infrastructure you've learned today.

Even better? You can do it all right in your browser—no setup, no AWS account, no cleanup required.

Cloud Labs give you instant, hands-on access to real AWS services—without the hassle of billing, provisioning, or tearing anything down afterward. Whether you're learning about serverless architecture, API gateways, or distributed databases, you can experiment confidently in a sandboxed environment that’s built for learning.