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Architectural Patterns

Architectural Patterns

By : Murali, Pethuru Raj, J, Pethuru Raj Chelliah
2.4 (5)
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Architectural Patterns

Architectural Patterns

2.4 (5)
By: Murali, Pethuru Raj, J, Pethuru Raj Chelliah

Overview of this book

Enterprise Architecture (EA) is typically an aggregate of the business, application, data, and infrastructure architectures of any forward-looking enterprise. Due to constant changes and rising complexities in the business and technology landscapes, producing sophisticated architectures is on the rise. Architectural patterns are gaining a lot of attention these days. The book is divided in three modules. You'll learn about the patterns associated with object-oriented, component-based, client-server, and cloud architectures. The second module covers Enterprise Application Integration (EAI) patterns and how they are architected using various tools and patterns. You will come across patterns for Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA), Resource-Oriented Architecture (ROA), big data analytics architecture, and Microservices Architecture (MSA). The final module talks about advanced topics such as Docker containers, high performance, and reliable application architectures. The key takeaways include understanding what architectures are, why they're used, and how and where architecture, design, and integration patterns are being leveraged to build better and bigger systems.
Table of Contents (13 chapters)
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The ED-SOA composite pattern benefits

A monolithic application puts all of its functionality into a single process. For scaling, it is mandatory to replicate the whole application. However, the partitioning of an application into a collection of dynamic application services facilitates the choice and the replication of one or more application components/services for scaling. Thus, the technique of divide and conquer is still doing a great job for the increasingly complicated world of software engineering. This section illustrates the other benefits of SOA and EDA patterns combined.

  • Effective data integration: In the synchronous request-driven architecture, the focus is on reusing remotely held functions and implementing process-oriented integration. That means the data integration, which is the important aspect of integrated environments, is innately not supported in the SOA environments. But in the case of EDA, the data integration is intrinsically accomplished as the event data/message is the base unit of communication and collaboration.
  • Timeliness and trustworthiness: Events are propagated across all the participating applications in real-time for real-time data capture, processing, decision making, and actuation. The timely exchange of event data/messages enables operational systems to have the most accurate and recent view of the business state/situation. The decisions being arrived based on the precise and perfect data are going to be correct and informed.
  • Improved scalability and sustainability: It is a fact that asynchronous systems tend to be more scalable when compared with synchronous systems. Individual processes block less and have less dependency on remote/distributed processes. Furthermore, the intermediaries (message queues and brokers) can be made more stateless, thus reducing the overall complexity of distributed systems. Less dependency ultimately results in them being highly scalable, reliable/dependable, resilient, responsive, and manageable. Any kind of replacement, substitution, and advancements can be easily performed in decoupled systems.

Thus, the beneficial combination of SOA and EDA patterns are capable of producing real-time, adaptive, and extensible enterprises. This hybrid pattern is all set to result in innumerable innovations, disruptions, and transformations.

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