When we think of choosing the best software architecture pattern to fit into an enterprise’s legacy framework, it can be tough.  

The pattern should have a delicate balance between flexibility and stiffness. If the development task is based on the agile approach, an excessively inflexible design will cause disagreements. 

This can result in an excess of upfront design, getting away from the inclusion of functionality and features. A design that is too flexible will result in continuous implementation, making the development team get confused. 

In this article, we are providing you list of the best software architecture patterns that may help you finalize the best one for your requirements. 

Introduction to Software Architecture

Before we go into typical software architecture patterns, let’s define software architecture. Software architecture is a graphical depiction of an information technology system that conveys the following:

The system’s structure, the various components and roles, and how the members interact.

The schematic representation results from the design ideas and judgments used by software architects. Typical software architecture necessitates conclusions about security, performance, manageability, etc.

Various kinds of software architecture patterns 

Let’s look at a few common software architecture styles that have helped many software companies expand:

1. The pattern of Layered Architecture

You’ve heard of multi-layered architecture, sometimes known as tiered architecture or n-tier architecture. This architecture has gained favour among designers and software architects alike because of its similarities with traditional IT communication arrangements in many startups and established organizations. A layered architecture is often divided into four different levels: presentation, business, persistence, and database; however, the design is not limited to the above layers and might include an application layer, service layer, or data access layer. This architectural paradigm was used by popular frameworks such as Java EE.

 Assume you are a custom software development company working on a vast application, and you find yourself using all four levels of your architectural pattern. On the other hand, small firms may integrate the business as well as persistence layers into a one-part, particularly when the second one is involved as an intrinsic element of the business logic layer constituents.

2.                 Microkernel Architecture

This architecture pattern comprises two components: several plug-in modules and a core system. The core system maintains the system with minimum functionality, the plug-in modules are autonomous components with particular processing.

 From the standpoint of a business application, the core system may be characterized as generic business logic devoid of specialized code for particular circumstances, special rules, or complicated conditional procedures. Whereas, the dedicated plug-in modules are intended to expand the central system to provide extra commercial capabilities.

3.                 The pattern of Event-driven Architecture

An event-driven software architecture pattern is a good choice if you want an elegant and high-performance architecture pattern. It comprises separate components for single-purpose event processing that receive and process events synchronically. This pattern orchestrates the behaviour around the creation, detection, and consumption of all events and the reactions they elicit.

There are two topologies in the event-driven architectural style: mediator and broker. A mediator is utilized when numerous actions must be managed inside an event bus via a chief mediator. Conversely, a broker is utilized to connect events without the usage of a central intermediary. 

4.                 Space-Based Architecture

The name of this software architecture is based on the notion of tuple space – the concept of distributed shared memory. The space-based design contains two main parts: a virtualized middleware and a processing unit.

The processing unit houses develop a web application, components such as web-based components and backend business logic. Though smaller web apps may be installed in a single processing unit, larger apps can be divided into numerous processing units to prevent functional collapse. The virtualized-middleware component also includes pieces that govern different aspects of data synchronization and request processing. They may be written from scratch or acquired as third-party products.

5.                 Microservices Architecture Pattern

It is a feasible alternative to service-oriented architectures and monolithic applications. The components are delivered as individual modules through an efficient and simplified supply pipeline. The pattern’s advantages include improved scalability and a high decoupling inside the app.

Because of their decoupled and autonomous nature, the components are accessible through a remote access protocol. Furthermore, the same components may be designed, deployed, and tested independently of any other service component.

6.                 Client-Server Architecture Design Pattern

This pattern is defined as a distributed app structure that consists of two major components: a client and a server. This design makes communication between the client and the server, which might or might not be on a similar network. A client asks that specified resources be retrieved through the server, which might be data, services, content, files, etc. The server identifies the requests & reacts consequently by offering the wanted resources to the client.

 A client and a server’s functional features are examples of programmes that communicate with one another inside an application. This architecture’s functionality is very adaptable since a single server may serve several clients, or a single client can utilize multiple servers. Regardless of how they function, servers may be categorized based on the services or resources they deliver.

7.                 Pipe-Filter Architecture Design Pattern

This pattern processes a data stream in a single directional flow, using components known as filters and pipes connecting these filters. The data processing chain occurs when the pipes provide data to the filters, and the output of one filter converts as the input for the succeeding filter. This architecture aims to separate significant components/processes into independent and many parts that may be executed concurrently.

The pipe-filter design is best suited for applications that use web services to process data in a stream and may generate primary sequences to sophisticated structures. Compilers illustrate this design pattern excellent because each filter does lexical analysis, parsing, semantic analysis, and code creation.

8.                 Master-Slave Architecture

Consider a single database getting numerous such queries all at once. Logically, processing all requests at once might complicate as well as delay the process of application. A master-slave architectural pattern that works with the master database to deploy several slave components to handle those requests fast is one solution to this challenge.

As the name implies, the master-slave architectural pattern may be seen as a master delegating responsibility to its slaves. When the slave components complete their tasks, the master compiles the distributed tasks and displays the results.

It should be noted that the master has complete control and authority over the slave components, establishing their communication and functional priority. This method is distinguished because each enslaved person would handle the requests concurrently, delivering the results simultaneously. This also implies that the slave activities will not be deemed finished until every enslaved person has reported the results to the master.

9.                  Broker Architecture

A broker software architecture pattern is used to design distributed systems with loosely linked components. Components in broker architecture patterns may communicate with others by executing remote services. In addition, the broker is in charge of all component coordination and communication.

The broker pattern comprises three primary components: clients, servers, and brokers. A broker would get access to all the features and services associated with a specific server. When a client requests a service through the broker, it refers the client to the appropriate service category for processing ahead.

10.              Peer-to-Peer Architecture Design Pattern

Individual components are referred to as peers in the peer-to-peer architectural pattern. A peer may function as a server, a client, or both, and its role can transform dynamically. One peer may seek services from other peers as a client, and other peers can deliver services to them as a server. The primary difference between client-server architecture and peer-to-peer architecture is that each machine on the network has substantial authority, and there is no centralized server. Its capacity grows as additional devices join the network.

So, we have discussed several of the best patterns that we found to be good so far. I believe this list will support you shortlist the best one appropriate for your requirements. Groovy Web is the custom software development company known to develop a web application that will give your business significant success.