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

Load balancing and service discovery

Load balancing is an essential part of distributed applications. It not only spreads the incoming requests across a cluster of services, which is essential for scaling, but can also help the responsiveness and availability of the applications. A smart load balancer can gather metrics to react to patterns in incoming traffic, monitor the state of the servers in its cluster, and forward requests to the less loaded and faster responding nodes – avoiding the currently unhealthy ones.

Load balancing brings more throughput and less downtime. By forwarding requests to many servers, a single point of failure is eliminated, especially if multiple load balancers are used, for example, in an active-passive scheme.

Load balancers can be used anywhere in your architecture: you can balance the requests coming from the web, requests done by web servers to other services, requests to cache or database servers, and whatever else suits your requirements...