Top Scroll

Top Software Architecture Patterns

Top Software Architecture Patterns

Even before the first line of code is written, establishing an aligned software pattern is crucial for developing large-scale corporate software. The features, functions, and quality of the software being built will be determined by your decision.

When it comes to selecting the best software architecture pattern to integrate into an enterprise’s legacy framework, it might be difficult. The pattern must strike a delicate balance between stiffness and flexibility. If the development endeavor is based on the agile technique, a design that is overly inflexible will result in disagreements. This would result in an overabundance of upfront design, detracting from the inclusion of features and functionality. A design that is excessively flexible will result in constant implementation, causing the development team to become confused.

Let’s say you want to create web-based applications for your organization. The development team starts building the software architecture when your company decides to operate on agile principles. How do you pick a software architectural pattern, though? Which one is the most appropriate for your development project? Don’t worry; we’re here to help you out. Here’s a rundown of the top architecture patterns to pick from.

1. N-tiered (layered) architecture

The most common architectural pattern in today’s world is layered (n-tier) architecture. To aid in data storage, this parent is built by integrating corporate databases and other tech assets.

Data entry from the uppermost layer, the presentation layer, is facilitated by the coding technique of layered architecture. Data then flows into the database, which is the bottom layer. From rewriting mismatched values to inspecting data for faults, each layer in this architecture is designed to serve a unique purpose. Developers follow this architectural style in phases, constructing each layer one by one.

Each layer of a layered architectural pattern is dedicated to a distinct purpose or activity, which is one of the key advantages.

This results in high degrees of coherence, maintainability, testability, and the ease with which certain layers can be updated or upgraded. It’s also simple to assign expert resources to each tier, ensuring that the developers assigned to that layer are well-versed in the task at hand.

  • Application development on a tight timeline requires a layered architecture.
  • Applications that must coexist with legacy systems
  • Applications that must adhere to testability and maintainability guidelines

2. Event-Driven Architecture (EDA)

The event-driven architecture pattern is the next software architecture pattern. By taking data and then delegating it to multiple modules, each of which caters to a certain data type, this pattern aids in the management of development efforts.

This ‘Handoff’ generates an ‘event’ in the data type, which is then attached to the code assigned to it.

While every bit of data flows through every tier of the architecture in a layered architecture pattern, the event-driven architecture varies from its predecessor. Modules only interact with the events that have been tagged to them in this system. Event-driven architecture appeals to businesses with complex environments because of this. It’s also quite scalable and adaptable. This means that new data kinds can be simply introduced and managed.

  • UI development 
  • Applications with pre-assigned modules that interact with certain data types
  • Systems with a data flow that is asynchronous

3. Microkernel Architecture

Microkernel architecture is the next pattern on our list of architecture patterns. This pattern is concerned with an application’s basic activities. When the application runs, these operations are used in a pattern that is repetitive but not predictable. Basic actions such as displaying a file and subsequent editing, for example, are outside the scope of the integrated microkernel in Eclipse (DevTool). A JavaScript compiler is an optional component that handles fundamental features.

Plugins are extra functionality (in this case, a JavaScript compiler). Because of this, Microkernel architecture is also known as plugin architecture.

The software architecture of the microkernel is ideal for

  • Apps with obvious distinctions between basic and higher-order operations 
  • Apps with stable core routines but the extensibility of dynamic rules 
  • Tools that can be utilized at all levels of an organization

4. Space-Based Architecture

Databases are the foundation of websites. The website works flawlessly as long as the database can handle high traffic rates. However, in high-traffic situations, the website is likely to crash since the database can no longer register new transactions.

This is the challenge that space-based architecture attempts to solve. By spreading the load of logging, processing, and storage over numerous servers, this architecture approach reduces crashes. Your website will be able to withstand even the highest traffic spikes thanks to space-based architecture, which eliminates the need for a centralized database. All transactional data is saved in RAM, making activities faster and easier.

  • High-volume/ Low-value data 
  • Social networking sites 

5. Microservices Architecture

The Microservices architecture pattern was created with the goal of assisting developers in making their software less monolithic and more flexible. The Microservices design provides a slew of small applications that cater to certain features within the main program.

Netflix, the streaming colossus, is the best example of Microservices architecture. Every component of the website is its own small software. Given that both Microkernel and Microservices design feature autonomous components, there are some parallels that can be drawn. The sole distinction is that plugins live outside the microkernel in microkernel architecture, whereas component programs exist within the master program in microservices design.

Used for:

  • Sites with a lot of functional components should use the microservices architectural paradigm.

6. Client-Server Architecture Pattern

This is a distributed application structure. A client requests certain resources from the server, which could include data, content, services, files, and so on. The server recognizes the requests and replies accordingly by sending the requested resources to the client.

Within an application, the functional qualities of a client and a server are an example of programs that communicate with one another. Regardless of how they function, servers can be categorized based on the services or resources they deliver.

Email is a well-known example of a model designed with the client-server paradigm. When a user or client requests an email, the server searches the pool of resources and returns the requested email resource to the user or client. This also aids in the enhancement of the user experience.


  • Distributed application structures are used in applications that focus on real-time services, such as telephony apps.
  • Applications that require restricted access and provide a variety of services to a large number of distributed users.
  • A centralized resource and service application that must be spread across several servers.

7. Master-Slave Architecture Pattern

Consider a single database that receives a large number of comparable requests at the same time. Naturally, processing each request at the same time can make the application process more complicated and time-consuming. A master-slave architectural pattern, which works with the master database deploying several slave components to process those requests efficiently, is one solution to this challenge.

The master-slave architectural pattern can be visualized as a master delegating responsibilities to its slaves, as the name implies. The distributed tasks are compiled by the master and displayed as the result once the slave components have completed their jobs.

It’s important to remember that the master has complete control and authority over the slave components, including the ability to set their communication and functional priorities. 

This approach works effectively for apps that can be broken down into smaller chunks to handle comparable requests. A database program that requires a lot of multitasking as a key component is a good illustration.


  • Operating system development that may necessitate a multiprocessor architecture.
  • Advanced applications that require the decomposition of larger services into smaller components.
  • Applications that process raw data from multiple servers across a dispersed network.
  • Web browsers that use multithreading to make them more responsive.

8. Pipe-Filter Architecture Pattern

This architecture’s purpose is to split down major components/processes into independent and many components that can be processed at the same time.

The pipe-filter design is best suited for web services-based applications that handle data in a stream and can generate simple to complicated structures. 


  • It can be utilized in applications that allow for simple one-way data transformation and processing.
  • Data compilers for error-checking and syntax analysis are being developed.
  • To conduct advanced operations in operating systems such as UNIX, where applications’ output and input are coupled in sequential order

9. Broker Architecture Pattern

For structuring distributed systems with detached components, the broker pattern is utilized. In addition, the broker is in charge of all component coordination and communication.

The broker pattern is made up of three primary components: clients, servers, and brokers. When a client requests a service, the broker directs them to the appropriate service category for further processing.

Finally, this architecture design separates all communication-related code from the application into layers, making it possible for programs to run on dispersed or single machines. Broker architecture has become popular as a result of these benefits.


  • Used to structure distributed networks with decoupled components

10. Peer-to-Peer Architecture Pattern

Individual components are referred to as peers in the peer-to-peer architectural pattern. Peer-to-peer architecture differs from client-server architecture in that each machine on the network has significant authority, and there is no centralized server. Its capacity grows as more computers connect to the network.

Peer-to-peer architecture is used in BitTorrent to distribute data and files across the internet in a decentralized manner. Large video and audio files can be sent with ease by utilizing this protocol. To establish a voice call and transmit text messages to another user, you use the VoIP P2P architectural pattern in Skype. 


  • Gnutella and G2 are two file-sharing networks.
  • Bitcoin and Blockchain are examples of cryptocurrency-based products.
  • P2PTV and PDTP are examples of multimedia products.

Why is a Software Architecture Pattern so important

Software architectural patterns are important because they may solve a variety of problems in a variety of disciplines. Complex user requests, for example, can be readily divided into smaller portions and dispersed across numerous servers rather than relying on a single server. Another example is that rather than evaluating the entire software at once, testing protocols can be simplified by separating it into distinct portions.

As a takeaway, here are a few additional reasons why software architecture patterns are critical for any software project:

1. Defining an Application’s Basic Characteristics:

It’s critical to understand the qualities, strengths, and drawbacks of each architecture before deciding which one is best for your organization. Architecture patterns have been found to aid in the definition of an application’s essential properties and behaviors. Some architecture patterns, for example, are inherently suited to highly scalable applications, whereas others are better suited to agile applications.

2. Maintaining Quality and Efficiency:

Any application you create has a good chance of having quality concerns. Selecting an architecture pattern based on your software development quality attributes might help you minimize quality issues while retaining efficiency.

3. Providing Agility:

It is typical for software products to go through multiple iterations and revisions during development and even after release. As a result, defining a basic software architecture ahead of time gives the program agility and makes future moderations a breeze.

4. Problem Solving:

Prior planning and understanding of a software architecture provide a clear picture of how an application and its components will work. With an architecture in place, the development team may use best practices to solve complicated operations and eliminate future failures.

5. Increasing Productivity

There must be certain established principles, regardless of one’s talents and knowledge of a programming language, framework, or application. The organization can instantly comprehend the project’s state if an appropriate application pattern is in place. Furthermore, once an architecture pattern is in place to define the project scope, productivity rates improve.

Summing Up-Everything is Possible with the Right Partner

In summation, the architecture you select will be the foundation for all communication and transactions. As a result, maintaining stakeholder collaboration necessitates an aligned system plan. Choosing a pro software development company  is critical if you want your product to offer value to your organization.

The design pattern you select should be based on your company’s specific use case, and it will determine the challenges you may encounter during the implementation process. As a result, when selecting an architecture pattern, make sure it considers decision-making, change management, user engagement, and customer acquisition.

It specifies how the program will work and the issues that the company may face during installation. Choosing the correct software architecture patterns makes it easier to make decisions, manage changes, and obtain more accurate project estimates. We trust that this article has proven informational. Until next time, happy developing.

The Author

I am Pratik Mistry, a rare mix of technologist and vice president in sales at Radixweb. My passion lies is in helping companies to grow revenues by delivering top notch custom software development solutions and build value-based partnerships. When not driving high-impact go to market strategies, I love to try new cuisines and going to the movies.

For our blog visitors only
Get 10% OFF on Hosting
Special Offer!
Claim the discount before it’s too late. Use the coupon code:
Note: Copy the coupon code and apply it on checkout.