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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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Improving the performance of EDA-based processes/systems

In the case of persisting events, all events that are pushed to the event queue are persisted to the event log. This makes the system slow. In order to improve the performance of the system, there should be a mechanism to persist only events that have the capability to alter the state of the system, that is, read events do not alter the state of the system whereas write events will alter the state. So, there should be a mechanism in place to persist only write events.

This can be made possible with the event collectors by differentiating read events and write events. There should also be separate queues to handle read and write events. Using this mechanism, it is easy to ensure that events in the read event queue are not persisted and only the events in the write event queue are persisted. This concept is depicted in the...

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