Service-Oriented Architecture (SOA) Services & Applications
Contents
Service-Oriented Architecture (SOA) Services
In service-oriented architecture (SOA), services are independent software elements that carry out a particular function. SOA is a software design methodology that builds business applications using services. The following are a few categories of SOA services:
- Functional services: Business services that are necessary for business applications are known as functional services.
- Enterprise services: This are those that carry out tasks.
- Application services: These services are utilized in the creation and implementation of applications.
Here are some examples of SOA services
- Payment processing services, customer management services, product suggestion services, and inventory management services are a few instances of SOA services.
- Developers may combine services to complete difficult tasks or reuse services across systems to SOA. To register patients for all of its systems, for instance, a healthcare institution might provide a single service.
SOA makes software components reusable by using service interfaces and a standard communication language. Cross-platform and cross-language communication is possible between services.
Service Oriented Architecture Applications
Software development methods like SOA may be used in several situations:
Including applications
Existing applications that are developed in various programming languages and operate on various platforms can be integrated using Service-Oriented Architecture (SOA).
Business process automation
By establishing business services that are reusable across many processes, SOA may assist firms in automating and optimizing complicated business processes.
Getting used to rules
By separating compliance features into services that can be updated without requiring significant system-wide changes, SOA can assist enterprises in adjusting to changing rules.
Reusing services
Developers may integrate several independent services to accomplish complicated tasks or reuse services across systems thanks to Service-Oriented Architecture (SOA).
Exposing old systems gradually
Legacy system functionality can be progressively exposed as services by businesses using Service-Oriented Architecture (SOA).
Simplifying procedures
Organizations may increase company efficiency by streamlining operations with the use of SOA.
What are microservices?
The microservices architecture consists of tiny, fully autonomous software units known as microservices that are specialized and task-specific. The rules that developers write to allow other software systems to connect with their microservice are known as APIs.
Modern cloud computing environments are well suited for the microservices architectural approach. They frequently work in isolated software units called containers, which include code and all of its dependencies.
Microservices’ advantages
Cloud-native microservices provide platform-agnostic, quick, portable, and independently scalable features. Additionally, they are decoupled, meaning that their reliance on other microservices is minimal or nonexistent. Instead of distant access to centralized data that other systems also access and utilize, microservices have local access to all the data they require in order to accomplish this. Microservices compensate for this data duplication in terms of agility and speed.
Service Oriented Architecture Vs Microservices
The SOA architectural style has evolved into microservices architecture. By addressing SOA’s drawbacks, microservices improve software’s compatibility with contemporary cloud-based corporate settings. They prefer data duplication over data exchange and are fine-grained. With their own communication protocols that are made available via lightweight APIs, they are therefore totally autonomous. In essence, customers are responsible for using the microservice via its API, negating the necessity for a centralized ESB.
When to Use Microservices and SOA
Organizations may go from monolithic design to cloud settings in a variety of ways with service-oriented architecture (SOA) and microservices. In real-world usage circumstances, one may be more appropriate than the other depending on certain conditions.
SOA
The SOA architecture is advantageous for enterprises with standalone or older enterprise applications. Traditional software applications are broken down into smaller, modular components by SOA. Additionally, it consolidates common resources to optimize corporate operations. Developers may deploy additional business solutions by reusing existing SOA services instead of creating duplicate and overlapping services.
Microservices
Agile development teams are better supported by microservices architecture. Continuous integration and continuous delivery (CI/CD) allow developers to make tiny code changes without affecting application stability. When developers have the following objectives, microservices work better:
- Utilize many frameworks, libraries, or programming languages to create a single application.
- Integrate separate services created using various software frameworks.
- Real-time scaling of individual services and provisioning of computational resources
- Businesses may easily deploy hundreds of microservices and take advantage of contemporary cloud capabilities using microservices.
Microservices Vs Service Oriented Architecture
The following table lists the key distinctions between microservices and Service-Oriented Architecture(SOA):
| Aspect | SOA | Microservices |
|---|---|---|
| Implementation | Different services with shared resources. | Independent and purpose-specific smaller services. |
| Communication | ESB uses multiple messaging protocols like SOAP, AMQP, MSMQ. | APIs, Java Message Service, Pub/Sub. |
| Data Storage | Shared data storage. | Independent data storage. |
| Deployment | Challenging. A full rebuild is required for small changes. | Easy to deploy. Each microservice can be containerized. |
| Reusability | Reusable services through shared common resources. | Reuse through APIs, as each service has independent resources. |
| Speed | Slows down as more services are added on. | Consistent speed as traffic grows. |
| Governance Flexibility | Consistent data governance across all services. | Different data governance policies for each storage. |