Book Image

Building Low Latency Applications with C++

By : Sourav Ghosh
5 (1)
Book Image

Building Low Latency Applications with C++

5 (1)
By: Sourav Ghosh

Overview of this book

C++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies. With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch. You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system. By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.
Table of Contents (19 chapters)
1
Part 1:Introducing C++ Concepts and Exploring Important Low-Latency Applications
6
Part 2:Building a Live Trading Exchange in C++
10
Part 3:Building Real-Time C++ Algorithmic Trading Systems
14
Part 4:Analyzing and Improving Performance

Discussing the design of IoT and retail analytics systems

In the previous chapter, we discussed IoT and retail analytics and many of the different use cases that they create. Our focus in this section will be to have a brief discussion about the technologies being used to achieve low latency performance for these applications and use cases. Note that IoT is a technology space that is still actively growing and evolving, so there are going to be a lot of breakthroughs and advancements in the coming years. Let us quickly recap some important use cases of IoT and retail data analytics. A lot of these new applications and future possibilities are fueled by the research and advancements in 5G wireless technology, edge computing, and artificial intelligence (AI). We will look at those aspects in the next section, along with other technologies that facilitate applications using low latency IoT and retail data analytics.

A lot of applications fall under the remote inspection/analysis category...