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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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Concurrency patterns

In software paradigm, the ability to perform multiple tasks at the same time (concurrency) by a software application is a critical factor; most software applications have some or other sort of concurrency. Keeping this in mind, let's briefly touch upon on a few concurrency patterns here, as other chapters in this book cover many (concurrency) related patterns in detail.

Concurrency design pattern

In many situations the automated system may have to handle many different events simultaneously called concurrency. OOP provides an adequate means (abstraction, reusability, sharing of distributed persistent data, parallel executions and so on) of dealing with concurrency. This section will cover few concurrency...

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