Book Image

Software Architecture with C++

By : Adrian Ostrowski, Piotr Gaczkowski
Book Image

Software Architecture with C++

By: Adrian Ostrowski, Piotr Gaczkowski

Overview of this book

Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development. By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.
Table of Contents (24 chapters)
1
Section 1: Concepts and Components of Software Architecture
5
Section 2: The Design and Development of C++ Software
6
Architectural and System Design
10
Section 3: Architectural Quality Attributes
15
Section 4: Cloud-Native Design Principles
21
About Packt

Latency is zero

Both the network and the services you're running have to take some time to respond even under normal conditions. Occasionally they'll have to take longer, especially when being under a bigger-than-average load. Sometimes instead of a few milliseconds, your requests can take seconds to complete.

Try to design your system so it doesn't wait on too many fine-grained remote calls, as each such call can add to your total processing time. Even in a local network, 10,000 requests for 1 record will be much slower than 1 request for 10,000 records. To reduce network latency, consider sending and handling requests in bulk. You can also try to hide the cost of small calls by doing other processing tasks while waiting for their results.

Other ways to deal with latency are to introduce caches, push the data in a publisher-subscriber model instead of waiting for requests, or deploy closer to the customers, for example, by using Content Delivery Networks (CDNs).