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Enterprise Integration Patternsprovides an invaluable catalog of sixty-five patterns, withreal-world solutions that demonstrate the formidable of messagingand help you to design effective messaging solutions for yourenterprise.

The authors also include examples covering avariety of different integration technologies, such as JMS, MSMQ,TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A casestudy describing a bond trading system illustrates the patterns inpractice, and the book offers a look at emerging standards, as wellas insights into what the future of enterprise integration mighthold.

Over the years, architects have invented a blend of integration patterns for connecting various business applications within enterprise systems. Most of these architectures have similarities, initiating a set of widely accepted standards in integration patterns. These standards are described in the Enterprise Integration Patterns Catalog available at:

You can simulate most of the patterns in the catalog using various constructs of the ESB profile of WSO2 EI. For ideas on how to design your integrations, and to get step-by-step instructions using example scenarios, see Enterprise Integration Patterns with WSO2 Enterprise Integrator. You can then refer back to this guide for details on the mediators used in the scenarios, how to work with endpoints and proxy services, and so on.

Enterprise integration models have evolved over the years from those with a relatively small number of point-to-point connections, to a centralized model connected through an enterprise service bus (ESB), to a distributed architecture with many reusable endpoints.

In the past, a centralized enterprise service bus (ESB) managed by a centralized team could connect every endpoint in your environment. However, a centralized approach to teams and technologies can bottleneck modern systems, which need fast, easy avenues to integrate between distributed components. Depending on your data and service needs, a combination of messaging, application connectors, data streams, enterprise integration patterns, and application programming interfaces (APIs) that can be deployed faster and iteratively are more suited to modern application development.

Red Hat believes that the traditional approach to integration, with centralized teams controlling monolithic technologies, can impede the development and long-term usefulness of distributed applications. Traditional integration technologies like the ESB have benefits like prioritizing security and data integrity, but they also rely on a single team to define integrations for the entire enterprise.

Enterprise Integration Patterns are accepted solutions to recurring problems within a given context. The patterns provide a framework for designing, building messaging and integration systems, as well as a common language for teams to use when architecting solutions.

For business-to-business (B2B) solutions and seamless communication between organizations, you can build automated, scalable, enterprise integration workflows by using Azure Logic Apps with the Enterprise Integration Pack (EIP).

With these artifacts, you can build B2B workflows and integration solutions that include cloud services, such as Azure, Microsoft, and other software-as-service (SaaS) apps, on-premises systems, and custom apps by using Azure Logic Apps and choosing from hundreds of connectors. For example, you can create and run custom code from your workflows using the built-in and Azure Functions connectors. You can also use enterprise integration connectors that support the following industry standards:

Enterprise Integration Patterns is a book by Gregor Hohpe and Bobby Woolf and describes 65 patterns for the use of enterprise application integration and message-oriented middleware in the form of a pattern language.

An enterprise integration platform as a service (EiPaaS) is a suite of cloud services that addresses a variety of scenarios, including application and data integration, as well as some combination of process, ecosystems, mobile, AI-enabled systems, and IoT integration and API management and digital integration hub capabilities.

Enterprise integration is a data challenge. So much data exists within organizations that the term Big Data now refers to the size and variety of data sources. A large volume of data existing in a variety of nonstandard formats can be of significant business value, but first, it must be integrated from multiple sources or applications. The Internet of Things (IoT) also represents a new opportunity to connect with customers and analyze useful data through everyday devices, but you must filter out the critical data that needs to go to your data center. Web applications further add to the complexity of enterprise integration, especially when legacy applications must be integrated with a service-based architecture, like microservices.

Due to the increasing complexity of modern production processes, the use of tools providing their simulation is getting more and more common. The simulation of a production process in its entirety, depending on the level of detail, often requires the coupling of several, specialised simulation tools. The lack of uniform structures, syntax and semantics among the considered file formats, the special simulation context and the typical accumulation of huge data volumes, complicates the use of established enterprise application integration solutions. Thus, the need for a tailor-made framework for simulation integration purposes arises. The implementation of such a framework is requested to be easy adaptable, so that changes in virtual production circumstances causes only little efforts in the infrastructure, and at the same time taking care about domain specific purposes. This paper presents such a framework. 2b1af7f3a8