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Building Scalable Applications: A Dive into System Design

system design
scalability
architecture
2025-05-04
11 min read
Building Scalable Applications: A Dive into System Design
Author
Ajay Tainwala

Full Stack Developer

Building Scalable Applications: A Dive into System Design

When designing a scalable application, the primary goal is to ensure it can handle an increasing load without a decrease in performance. This is typically achieved by distributing the load across multiple machines, which can be done horizontally or vertically. Horizontal scaling involves adding more machines to the system, while vertical scaling involves increasing the resources of individual machines.

There are many different approaches to scaling an application, and the best approach will depend on the specific requirements of the application. Some common approaches include:

  • Load balancing: distributing the load across multiple machines to ensure no single machine is overwhelmed.
  • Database sharding: breaking up the database into smaller pieces and distributing them across multiple machines.
  • Caching: storing frequently accessed data in memory to reduce the load on the database.
  • Content delivery networks (CDNs): distributing content across multiple machines to reduce the load on the application.
  • Microservices: breaking up the application into smaller services and distributing them across multiple machines.

When designing a scalable application, it is important to consider the following factors:

  • Performance: the application should be able to handle an increasing load without a decrease in performance.
  • Scalability: the application should be able to scale horizontally or vertically as needed.
  • Reliability: the application should be able to handle failures without a decrease in performance.
  • Security: the application should be secure and protect against unauthorized access.

There are many different tools and technologies available for building scalable applications, including cloud platforms such as AWS and Azure, containerization tools such as Docker, and orchestration tools such as Kubernetes. The best approach will depend on the specific requirements of the application.

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