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  • Book Overview & Buying Mastering Non-Functional Requirements
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Mastering Non-Functional Requirements

Mastering Non-Functional Requirements

By : Paradkar
4.2 (10)
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Mastering Non-Functional Requirements

Mastering Non-Functional Requirements

4.2 (10)
By: Paradkar

Overview of this book

Non-functional Requirements are key to any software/IT program and cannot be overlooked or ignored. This book provides a comprehensive approach to the analysis, architecture, and measurement of NFRs. It includes considerations for bespoke Java, .NET, and COTS applications that are applicable to IT applications/systems in different domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. This book starts off by explaining the various KPIs, taxonomies, and methods for identifying NFRs. Learn the design guidelines for architecting applications and systems relating to NFRs and design principles to achieve the desired outcome. We will then move on to various key tiers/layers and patterns pertaining to the business, database, and integrating tiers. After this, we will dive deep into the topics pertaining to techniques related to monitoring and measurement of NFRs, such as sizing, analytical modeling, and quality assurance. Lastly, we end the book by describing some pivotal NFRs and checklists for the software quality attributes related to the business, application, data, and infrastructure domains.
Table of Contents (8 chapters)
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Database tier patterns


This section describes the database tier patterns and its impact on NFRs.

Data replication

To deliver high availability, we must introduce some level of duplication of system elements. However, if those elements store data, no inconsistency can be tolerated between them.

Context

Read-only data, such as report data, computed results so on, can be replicated to multiple database instances so as to enable parallel reads. Most databases support automatic data replication and data synchronization features, which can also be leveraged. Data replication is often carried out by a master-slave configuration either synchronously or asynchronously. Replication jobs should be configured to optimize throughput and latency.

Drivers

Drivers for the data replication solution pattern include:

  • We need a common persistent store to ensure a consistent view of the system across all application servers (whether active-redundant or load-balanced).
  • High availability architectures depend on application...
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