Enterprise service oriented architectures : concepts, challenges, recommendations

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Concepts, Challenges, Recommendations

However, the model was difficult to use and often introduced considerable overhead into the workflows that passed between components of an application. The WS model of SOA never reached the adoption levels that advocates had predicted; in fact, it collided with another model of remote components based on the internet: REST. The tension between SOA as a set of principles and SOA as a specific software implementation came to a head in the face of virtualization and cloud computing.

The combination of virtualization and cloud encourages software developers to build applications from smaller functional components. Microservices , one of the critical current software trends, was the culmination of that development model. Because more components mean more interfaces and more complicated software design, the trend exposed the complexity and performance faults of most SOA implementations.

Microservice-based software architectures are actually just modernized implementations of the SOA model.


An API broker mediates access to components and ensures security and governance practices are followed. But SOA is as valid today as it was when first considered. SOA principles have taken us to the cloud and are supporting the most advanced cloud software development techniques in use today. Please check the box if you want to proceed. With a grasp of just a few basic concepts and commands, developers can use Git's branching capability for feature development and To be a good tester, start at requirements and user expectations, then develop test cases that make certain those needs are met.

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Once an afterthought in the Java community, Microsoft has seemingly overtaken IBM as the preeminent advocate among developers at In this guide, learn about cloud-native development -- what it is, how vendors try to exploit it and how to bring it to life with Essential Guide Browse Sections.

This content is part of the Essential Guide: What makes enterprise unified communications work.

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

This was last updated in March Related Terms application architecture An application architecture is a map of how an organization's software applications are assembled as part of its overarching A server side framework typically uses a Login Forgot your password? Forgot your password? No problem! Submit your e-mail address below. We'll send you an email containing your password. A common metric and definition is required in order to compare the data.

It is best practice to establish a master data management MDM program that lays the foundation to common access to core entities of the enterprise such as customer, contract, or product. This principle of MDM also applies to cloud-based processes. In our example MDM defines a customer in all systems and therefore the customer can be identified. This integration takes place on multiple levels:. At the data level, we differentiate between the concept of data integration at regular intervals and data integration in realtime. Point-to-point integration and data cleansing at regular intervals could include, for instance, the daily data transfer of sales data from the Amazon shop to the Salesforce CRM system.

By contrast, data integration for transferring sales data to the accounting system for invoicing is performed in realtime. Effective business processes are changed directly by business departments on an ad hoc basis according to their rights and roles in order to satisfy changed requirements. In our example, the marketing department decides to sell products on both Amazon and on eBay, motivated by the free-of-charge delivery.

For process integration, this means the incorporation of a further SaaS solution into the process flow, based on common data objects. We can therefore use SOA concepts like enterprise business objects, which contain data such as customer definitions, and the enterprise business services, such as the update to a customer file. The various cloud solutions often define these business objects and services differently, which is why a common meta-model that integrates the process is required. The following are required for the object model:. All objects should be held in a common repository and data dictionary.

A model designer can be used to amend the objects. In the future for complex objects, a model matcher based on conventions, catalogs, dynamic typologies, and search agents might be used semantic SOA. Decision rules that can be abstracted in a rules engine can therefore be changed by business users at any time. This is a fundamental aspect for process agility. This threshold can be changed by the business users at any time, for example if the total amount of open invoices is very low or high. Rules engines and task management solutions are used in particular for SaaS cloud applications that are not individually programmed.

Service Oriented Architectures - FOKUS Explained

However, the various cloud applications use different rules engines, so a common standard and an overall meta-model for defining objects and rules could resolve this in the future. The same applies to task management. If a product was not delivered, customer service intervenes manually and offers the customer free express delivery. The resulting tasks must be performed both in the cloud solutions, such as Amazon, and in the local accounting system.

One solution would be the introduction of uniform, service-oriented task management or case processing in a general process portal for identifying and handling processes.

Service-Oriented Architecture (SOA) Definition

The traceability of processes is important here. In our process, this refers to the order status or where the order was lost, and determines who is responsible for the additional shipping costs. The process owner is defined across all clouds. If anything is ambiguous, it ends up in a central error hospital or a clearing house for processes.

As an outlook, a centralized cloud service for task management, logging, and an error hospital may be a solution. Security standards play a decisive role in compliance with security provisions over system boundaries:. Every company needs to ask itself whether it can afford to lose complete control over its data, or whether it's better to maintain control. In our process example, the decision was made to shift the CRM and shop customer data to a cloud solution.

The accounting data continues to be managed in the company's own data center. For the definition of critical company data and the evaluation of a cloud solution, the following procedure has proven effective:. Protection of critical data and processes starts in the DMZ and is based on an enterprise gateway Figure 5. Requests are intercepted by the gateway before processing, and the rules policies to be applied are checked and forwarded to the Web services virtualization level.

The Web services virtualization level is generally a federated enterprise service bus that routes the call to the correct Web service. Incoming messages are intercepted by the gateway, checked using policies, and then processed if necessary. A policy consists of a set of filter criteria that trigger specific actions. These filters are pre-defined and offer various functions, such as checking the size of an incoming message or an authorization.

In our example, the size of the incoming message from the Amazon Shop system is checked. If it exceeds the limit, a notification is issued and further processing is halted. The gateway can be integrated with a secure token service STS in order to use the latter's functionality.

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In addition, a secure socket layer SSL ensures protection of the messages on the transport level. The implementation of company-wide standards plays a central role for both SOA and cloud computing. SOA governance can act as a precursor to cloud governance. The formalization of services and contracts in the SOA architecture serves as a template for formalizing cloud services.

1. Introduction

Structures and workflows between the business users and the IT department that were established as part of the SOA implementation serve as the basis. For the management of the processes, the attention is on system-wide solutions. An administration concept rejects or allocates resources to the processes across various clouds and systems. A monitoring dashboards incorporated analytics for both clouds and on on-premise systems. They are incorporated with their existing management tools and notification systems, allowing dependencies of processes and systems to be represented.

In the future, business users receive consistent process information and process monitoring in realtime business activity monitoring across cloud processes. All available processes are executed in process portals and their recyclability is ensured. Business departments request and use system resources independently. IT continues to have ownership of the IT and is responsible for its management. The usage costs are presented in a transparent manner to the business department based on the process.

Companies that are planning to introduce cloud-based services can establish the basis for this through a SOA architecture.


As service contracts are formalized, the foundation is laid for SOA and cloud governance. The SOA integration platform plays a key role in integrating the existing application into cloud services and between clouds. Canonical data models combined with ontology and semantics establish the basis for linking data and processes across systems and clouds in the future.

Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations
Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations
Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations
Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations
Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations
Enterprise service oriented architectures : concepts, challenges, recommendations Enterprise service oriented architectures : concepts, challenges, recommendations

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