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代理拓?fù)溆袃煞N主要類型的組件：

• 經(jīng)紀(jì)人
• 事件處理器

代理組件包含此事件流的所有事件通道。這些事件通道可以是消息隊列、消息主題或兩者的組合。

在代理拓?fù)渲校录幚砥鹘M件直接接收事件并負(fù)責(zé)處理和發(fā)布新事件以指示事件已被處理。

事件不斷地流經(jīng)處理器組件鏈，直到不再為初始事件發(fā)布事件。

這種進(jìn)程分布允許事件驅(qū)動架構(gòu)以最少的資源消耗運行大量并發(fā)連接。

4.微內(nèi)核架構(gòu)

微內(nèi)核架構(gòu)（也稱為插件架構(gòu)）通常用于實現(xiàn)可作為第三方產(chǎn)品下載的應(yīng)用程序。這種架構(gòu)也常見于內(nèi)部業(yè)務(wù)應(yīng)用程序中。

這種架構(gòu)的一個有趣之處在于，您實際上可以將其嵌入到其他模式中，例如分層架構(gòu)。

在典型的微內(nèi)核架構(gòu)中有兩種架構(gòu)組件：核心系統(tǒng)和插件模塊。

核心系統(tǒng)包含使軟件系統(tǒng)運行所需的最小業(yè)務(wù)邏輯。您可以通過連接插件組件來擴(kuò)展軟件系統(tǒng)的功能以添加更多功能。

這有點像為您的汽車添加冷空氣進(jìn)氣口以提高其扭矩和馬力。

可以使用開放服務(wù)網(wǎng)關(guān)倡議 (OSGi)、消息傳遞、Web 服務(wù)或?qū)ο髮嵗瘉磉B接插件組件。實施方法由您決定。

注意：插件組件是獨立的組件，旨在擴(kuò)展或增強(qiáng)核心系統(tǒng)的功能，不應(yīng)與其他組件形成依賴關(guān)系。

微服務(wù)架構(gòu)是目前最流行的軟件趨勢之一，其中一個原因可以歸因于開發(fā)的易于擴(kuò)展性。當(dāng)微服務(wù)無法再維護(hù)時，可以重寫或替換它們。

術(shù)語“微服務(wù)”沒有普遍接受的定義。在本文中，我們將微服務(wù)定義為可獨立部署的模塊。

微服務(wù)架構(gòu)由具有小型代碼庫的小型、獨立、自包含服務(wù)組組成。與使用分層架構(gòu)模式的單體應(yīng)用程序不同，保持小的、獨立的代碼庫可以最大限度地減少依賴項的數(shù)量。

微服務(wù)架構(gòu)的每個組件都部署為一個單獨的單元。單獨部署單元簡化了交付管道并使部署速度更快。開發(fā)團(tuán)隊可以輕松地建立具有較小單元的持續(xù)交付管道。測試也變得更容易，因為您只需要測試單個微服務(wù)的功能。

注意：微服務(wù)架構(gòu)僅在部署自動化時才有效，因為微服務(wù)顯著增加了可部署單元的數(shù)量。

微服務(wù)架構(gòu)的另一個關(guān)鍵概念是服務(wù)組件。服務(wù)組件的復(fù)雜程度可以從單個模塊到應(yīng)用程序的大部分。微服務(wù)架構(gòu)被認(rèn)為是一種分布式模式，因為它們的服務(wù)組件彼此完全解耦。

微服務(wù)還有助于持續(xù)交付，這有助于使軟件開發(fā)更加靈活。

亞馬遜、Netflix 和 Spotify 等大公司都在實施這種架構(gòu)。

6. 云原生架構(gòu)

當(dāng)您考慮典型的 Web 應(yīng)用程序時，它們中的大多數(shù)通常以相同的方式處理來自客戶端的請求。客戶端從 Web 瀏覽器發(fā)送請求，該請求被發(fā)送到 Web 服務(wù)器，然后是應(yīng)用程序服務(wù)器，最后是數(shù)據(jù)庫服務(wù)器。當(dāng)這種數(shù)據(jù)流處理大量并發(fā)運行的請求時，您通常會遇到瓶頸問題。這就是云原生架構(gòu)模式的用武之地。云原生模式旨在通過刪除中央數(shù)據(jù)庫并使用復(fù)制的內(nèi)存數(shù)據(jù)網(wǎng)格來最大限度地減少可伸縮性和并發(fā)相關(guān)的問題。

云原生架構(gòu)主要用于分布式計算系統(tǒng)，其中組件之間的交互通過一個或多個共享空間進(jìn)行調(diào)解。

在這個共享空間中，組件交換元組和條目。這給我們帶來了元組空間的概念，或分布式共享內(nèi)存的概念。

元組空間提供可以同時訪問的元組存儲庫。應(yīng)用程序數(shù)據(jù)保存在內(nèi)存中，并在活動處理單元之間復(fù)制。

此架構(gòu)模式中的兩種主要組件類型是：

• 處理單元
• 虛擬中間件

處理單元通常包含：

• 應(yīng)用模塊
• 內(nèi)存數(shù)據(jù)網(wǎng)格
• 用于故障轉(zhuǎn)移的可選異步持久存儲
• 數(shù)據(jù)復(fù)制引擎

數(shù)據(jù)復(fù)制引擎是虛擬中間件用來將一個處理單元中所做的數(shù)據(jù)更改復(fù)制到所有其他活動處理單元的工具。

虛擬化中間件管理請求、會話、數(shù)據(jù)復(fù)制、分布式請求處理和流程單元部署。

虛擬化中間件將包含四個主要組件：

• 消息傳遞網(wǎng)格
• 數(shù)據(jù)網(wǎng)格
• 處理網(wǎng)格
• 部署經(jīng)理

消息傳遞網(wǎng)格是管理輸入請求和會話信息的組件。

數(shù)據(jù)網(wǎng)格是虛擬中間件中最重要的組件，它與每個處理單元中的數(shù)據(jù)復(fù)制引擎進(jìn)行交互。

部署管理器是根據(jù)負(fù)載條件管理處理單元的啟動和關(guān)閉的組件。當(dāng)用戶負(fù)載增加時，它將啟動新的處理單元，當(dāng)用戶負(fù)載減少時，它將關(guān)閉處理單元。這種對不斷變化的環(huán)境的動態(tài)響應(yīng)允許基于空間的應(yīng)用程序輕松擴(kuò)展。

處理網(wǎng)格是一個可選組件，當(dāng)多個處理單元處理應(yīng)用程序的一部分時，它管理分布式請求處理。

這種類型的軟件架構(gòu)最適合社交網(wǎng)站或任何需要處理大量流量峰值的系統(tǒng)。

Software architecture diagramming and patterns

A software’s architecture is the foundation for any successful software system and will influence everything from maintainability, scalability, stability, and security throughout that system’s lifecycle. The first step toward implementing a new software system is the architecture diagram.

As software systems and web Applications have become increasingly complex, well-designed system architecture diagrams have become critical for communicating with other developers and stakeholders. Software architecture diagrams are an important documentation practice that will help you plan for and implement changes in your network, visualize strategic initiatives, and stay ahead of your organization’s needs.

Today, we’ll focus on how to diagram, some examples of popular Software architecture patterns, and places to find reference architectures to use as a starting point for various use cases. We’ll also go over what a good architectural diagram should accomplish and why you should take the time to create one.

Let’s dive right in!

We’ll cover:

What is software architecture

Diagramming basics: Flowcharts, C4, and UML 2.5

6 software architecture patterns

What is software architecture?

Software architecture describes the fundamental concepts and properties of a system within the context of its environment, relationships, principles of design, and more. Software architecture encompasses the organization of a software system, structural elements, behavioral elements, and the composition of those elements into larger subsystems. Software systems can often contain multiple architectures.

“Programming without an overall architecture or design in mind is like exploring a cave with only a flashlight: You don’t know where you’ve been, you don’t know where you’re going, and you don’t know quite where you are.”

Danny Thorpe

Having a great architecture lays the groundwork for how you will deal with performance, fault tolerance, scalability, and reliability in the future. Choosing the right architecture for your software will lead to stable performance under stressful conditions as you scale up.

Even if you don’t anticipate an increase in users, thinking about the big picture for your program and how you can communicate that vision to others can help you and your team makes strategic decisions based on the impact that those decisions will have on your overall architecture.

To extend Danny Thorpe’s cave analogy, having a cave system thoroughly mapped out can make a huge difference if, say, your spelunking trip has gone awry and you’re waiting for rescuers to find you.

Similarly, thorough software architecture can help your engineers quickly locate and fix bugs.

Do we need to document software architectures?

Whether you should document your software architecture depends on the type of project you’re working on. There’s some controversy on whether documenting software architectures is actually worth the time or if it slows everything down. The reality is somewhere in the middle.

Some developers don’t need a well-mapped software architecture for every project. If you’re working solo or using inherently adaptable development methodologies that focus on continuous improvements like Agile, it can be difficult to document every change.

“Incorrect documentation is often worse than no documentation.”

Bertrand Meyer

At other times, under-documenting vital parts of software architecture in a complex system can lead to significant issues or contribute to technical debt. As a general rule, as soon as your project expands to include more than one person, you should start documenting a product’s software architecture.

What do you need to document?

You must ensure that the core components and high-level architecture are available for every employee. In many cases, the software architecture and its documentation will outlast the initial creators of the product. The people working on the product may change, and the programming language used may change, but the software architecture will almost always remain.

That’s why documenting your software architecture is so important. It allows people working on the project to view a record of how your product changes and evolves.

While you probably don’t want to document every code change or architectural change, you will certainly want to document significant changes and, equally important, why those changes are made.

What do good architectural diagrams accomplish?

Good software architecture diagrams are sources of truth and clarity. You want your diagram to quickly convey a software system’s essential composition and behaviors to both technical and non-technical audiences.

High-level architectural diagrams and thorough documentation can be effective tools for communicating the internal state of a system or application when done well.

Diagramming before you start coding and diagramming after your code has been written will also confer different benefits.

Forward design entails creating your diagrams before you or your team starts coding. This has the benefit of helping your developers better visualize the system they’re trying to create.

Backward design involves diagramming after the code has already been written. This can help developers see how the project developed and document that workflow to improve later.

“There is nothing in the programming field more despicable than an undocumented program.”

Edward Yourdon

You also want your diagram to be as self-explanatory as possible so that anyone looking at it can immediately see the relationships, constraints, and limitations in your software system without needing to ask you what something means.

A good architectural diagram will:

Diagram core components

Highlight critical system interactions and relationships

Be easy to access and share

Maintain a consistent style

Make it easier to identify potential flaws or areas for improvement in the software architecture

Diagramming basics: Flowcharts, C4, and UML 2.5

Now that we’re done talking about how documenting software architecture can benefit you, let’s look at some common methods used to make diagrams.

Flowcharts

Flowcharts are one of the most basic types of diagrams you can make. Their simplicity makes them an effective tool for visualizing the logic of an algorithm or program before you start coding.

Here is an example of a flowchart key containing some common symbols used in diagrams.

In a technical diagram, each shape will typically include the following:

The name of the element being represented

The role of that element in the system

The technology of that element

Each component of a diagram will have arrows connecting it to other components and describing the interaction between them.

The C4 model

The C4 model is an architectural documentation standard for software systems that breaks a software system down into four levels:

Context (level 1): Context diagrams are high-level, conceptual descriptions of what your system does, what problem it solves, the people involved, and any external systems that interact with it. These diagrams help provide a big picture overview.

Containers (level 2): Container diagrams go one level deeper to describe high-level interactions between the applications or services that make up your system. Containers can represent APIs, databases, file systems, microservices, etc.

Components (level 3): Component diagrams look at the different code bodies within a container. These diagrams help visualize abstractions of your codebase.

Code (level 4): As the name suggests, code diagrams look at architectural elements mapped to code, like classes, interfaces, objects, and functions.

As a bare minimum, most teams should create and maintain context and container diagrams for their software system.

Component diagrams can be created if they add value, but you will want to find a way to automate updates to these diagrams for long-term documentation purposes.

Most IDEs (or UML modeling tools) can generate code diagrams on-demand, so documentation at this level of detail is more easily retrieved than maintained. If a component is particularly important or complex, then having level 4 diagrams on hand can be helpful, but for the most part, you can wait until you need these diagrams to generate them.

UML 2.5

Unified Modeling Language (UML) is most commonly used in software engineering to create diagrams for documenting level 4 architectural elements.

There are 14 types of UML diagrams falling into two main categories:

Structural diagrams show what objects are within a modeled system.

Behavioral diagrams show how those objects interact with each other.

For this article, we’ll be focusing primarily on levels 1 and 2 diagrams of the C4 model, so we won’t get into too much detail here.

However, if you want to generate level 4 diagrams, looking into UML can be a solid place to start.

Example: Invoicing system

You are building a web application that digital artists can use to manage and send invoices to clients. What would a context diagram for this look like?

At a minimum, your diagram should include the:

Database

Business logic component

UI

First, start with a representation of your software system.

Next, you want to document who the actors are. Actors are anyone who will be using the software system.

In this scenario, our actors are:

Digital artists

Clients

Now that you know who your actors are, document any external systems interacting with the software system.

If you wanted to go a level deeper, you could create a container diagram. A container diagram would focus on the applications that make up a specific container.

6 software architecture patterns

There are many software architecture styles out there, and being aware of the popular ones can save you some time. Here is a basic (but hopefully comprehensive) look at six different types of architectural patterns.

1. Layered (N-tier) architecture

The layered architecture pattern, also known as the N-tier architecture pattern, is the standard architecture used for most Java Enterprise applications. A layered architecture style divides components (or applications) into horizontal, logical layers.

Each layer has a distinct role within the system. One layer may be responsible for handling business logic, while another is responsible for handling presentation logic. This demonstrates a concept known as the separation of concerns (SoC). Components of a layer will only deal with logic within that layer. Separating layers like this also makes testing and developing software easier as the pattern itself isn’t too complex. The downside is that this isn’t the most efficient pattern to use and can be difficult to scale up.

Most layered architectures will consist of four closed layers:

Presentation

Business

Persistence

Database

Occasionally, the business layer and persistence layer are combined into a single layer, especially when the persistence logic (e.g., SQL) is contained within components in the business layer. Smaller applications can have as few as three layers, and more complex applications can contain five or more.

Closed layers require requests to go through layers that precede the target layer. For example, if you are trying to send a request to the database layer, that request must first travel through the presentation, business, and persistence layers.

But sometimes, it doesn’t make sense to have a request go through every layer. For situations like this, you can open certain layers so that requests can skip over them and go straight to the layer below them.

The layered architecture pattern is a great general-purpose pattern for most applications, especially when you’re unsure what kind of architecture pattern to use.

Note: Layers and tiers both refer to functional divisions of a software system. However, a tier refers to software running on infrastructure separated from the other divisions. So, an application with multiple layers could only have one tier if all layers are running on the same device.

2. Client-server architecture

In a client-server architecture, there are multiple nodes or clients connected over a network or internet connection who communicate with a central server.

There are two main types of components:

Service requesters (aka clients) that send requests

Service providers that respond to requests

In this architecture, the server hosts, manages and delivers most of the resources and services a client requests. This is also known as a request-response messaging pattern.

A couple of classic examples of applications with a client-server architecture are the World Wide Web and email.

3. Event-driven architecture

Event-driven architecture patterns are distributed asynchronous architecture patterns that are highly adaptable. This pattern is best suited for small to large applications with high scalability. Since event-processor components are isolated from each other in this pattern, changes to components can be made without impacting the performance of other components.

There are two main topologies to this pattern: the mediator and the broker topologies.

Mediator topologies have four main types of components:

Event queues

Event mediators

Event channels

Event processors

Mediator topologies are used when an event has multiple steps that require some level of coordination through a central mediator to be processed.

When a user sends the initial event to an event queue, the initial event is then directed to the event mediator.

Receiving the initial event prompts the event mediator to publish and send processing events to event channels, telling them to start executing each process step. The event processors receiving the processing events from the event channels contain business logic components that execute all of the steps required to process the initial event.

In general, event-processor components should only perform a single business task without relying on other event processors. This is because you want your event processors to be able to run steps concurrently with other event processors.

Broker topologies are used for process flows where an event does not need a central mediator to distribute or coordinate events.

Broker topologies have two main types of components:

Brokers

Event processors

The broker component contains all of the event channels for this event flow. These event channels can be message queues, message topics, or a combination of both.

In the broker topology, event-processor components receive events directly and are responsible for processing and publishing new events to indicate that an event has been processed.

Events continuously flow through a chain of processor components until no more events are being published for the initial event.

This distribution of processes allows event-driven architectures to run a large number of concurrent connections with minimal resource consumption.

4. Microkernel architecture

Microkernel architectures (also known as plug-in architectures) are typically used to implement applications that can be downloaded as a third-party product. This architecture is also commonly found in internal business applications.

One fun thing about this architecture is that you can actually embed it within other patterns, like layered architectures.

There are two types of architectural components in your typical microkernel architecture: a core system and plug-in modules.

The core system contains the minimum business logic needed to make the software system operational. You can extend the software system’s functionality by connecting plug-in components to add more features.

It’s kind of like adding a cold-air intake to your car to boost its torque and horsepower.

Plug-in components can be connected using an open service gateway initiative (OSGi), messaging, web services, or object instantiation. The method of implementation is up to you.

Note: Plug-in components are independent components meant to extend or enhance the core system’s functionality and should not form dependencies with other components.

5. Microservices architecture

Microservices architectures are one of the most popular software trends at the moment, and one reason for this can be attributed to the easy scalability of development. When microservices can no longer be maintained, they can be rewritten or replaced.

There’s no universally accepted definition for the term “microservice”. We will define a microservice as an independently deployable module for this article.

A microservices architecture consists of groups of small, independent, self-contained services with small code bases. Unlike with a monolithic application using a layered architecture pattern, keeping small, separate code bases can minimize the number of dependencies.

Each component of a microservices architecture is deployed as a separate unit. Separately deploying units streamlines the delivery pipeline and makes deployment much faster. Development teams can easily build up continuous delivery pipelines with smaller units. Testing also becomes easier because you only need to test the features of an individual microservice.

Note: Microservices architectures are only effective when deployment is automated because microservices significantly increase the number of deployable units.

Another key concept of the microservices architecture is the service component. Service components can range in complexity from single modules to large portions of an application. Microservices architectures are considered a distributed pattern because their service components are fully decoupled from one another.

Microservices also facilitate continuous delivery, which helps make software development more flexible.

Major companies like Amazon, Netflix, and Spotify can be found implementing this architecture.

6. Cloud-native architecture

When you think about typical web applications, most of them typically process requests from clients in the same way. A client sends a request from the web browser, which is sent to the web server, then an application server, and finally, the database server. When this kind of data flow deals with a high volume of concurrently running requests, you typically end up with bottleneck issues. This is where cloud-native architecture patterns come in. Cloud-native patterns are designed to minimize scalability- and concurrency-related issues by removing the central database and using replicated, in-memory data grids instead.

The cloud-native architecture is primarily used for distributed computing systems where the interactions between components are mediated through one or more shared spaces.

In this shared space, the components exchange tuples and entries. This brings us to the concept of tuple spaces, or the idea of distributed shared memory.

Tuple spaces provide a repository of tuples that can be accessed concurrently. Application data is kept in memory and replicated across active processing units.

The two main types of components within this architecture pattern are:

Processing units

Virtual middleware

Processing units will typically contain:

Application modules

An in-memory data grid

Optional asynchronous persistence store for failover

A data replication engine

The data replication engine is what the virtual middleware uses to replicate data changes made in one processing unit across all other active processing units.

The virtualized middleware manages requests, sessions, data replication, distributed request processing, and process-unit deployment.

The virtualized middleware will contain four main components:

The messaging grid

The data grid

The processing grid

The deployment manager

The messaging grid is the component that manages input requests and session information.

The data grid is the most important component in the virtual middleware and interacts with the data replication engines in each processing unit.

The deployment manager is the component that manages the startup and shutdown of processing units based on load conditions. It will start up new processing units when user loads increase and shut down processing units when user loads decrease. This dynamic response to changing environments allows space-based applications to scale up easily.

The processing grid is an optional component that manages distributed request processing when multiple processing units handle a portion of the application.

This type of software architecture is best for social networking sites or any system that needs to handle massive spikes in traffic.