- Node.js High Performance
- Diogo Resende
- 482字
- 2021-07-16 20:40:20
What this book covers
Chapter 1, Introduction and Composition, introduces the subject, emphasizing performance analysis and the importance of benchmarking. It's about splitting applications into several smaller components, reducing the complexity of each component to a manageable level for the developers involved in the application. Here, you understand the importance of developing methodologies to break complexity into smaller and reusable modules that can more easily be analyzed and exchanged with other new and better modules during the course of the application's life cycle.
Chapter 2, Development Patterns, is about good programming patterns that help avoid performance penalties or help find them. You'll value the importance of carefully choosing techniques and patterns that are simple, and avoid future problems. With this in mind, you'll better understand how the language works, the importance of knowing the event loop, how asynchronous programming works best, and some of the first-class citizens of the language—streams and buffers.
Chapter 3, Garbage Collection, covers GC, its importance, and its behavior. Here, you get to understand V8 memory management, dead memory, and memory leaks. You also learn how to profile an application and spot memory leaks caused by bad programming where a developer hasn't deferenced objects correctly.
Chapter 4, CPU Profiling, is about profiling the processor and understanding when and why your application hogs your host. In this chapter, you understand the limits of the language and how to develop applications that can be divided into several components running across different hosts, allowing better performance and scalability.
Chapter 5, Data and Cache, explains externally stored application data and how it can affect your application's performance. It's about data stored locally in the application, the disk, a local service, a local network service or even the client host. In this chapter, you get to know that different types of data storage methods have different penalties, and these must be considered when choosing the best one. You learn that data can be stored locally or remotely and access to the data can be—and should be—cached sometimes, depending on the importance of the data.
Chapter 6, Test, Benchmark, and Analyze, is about testing and benchmarking applications. It's also about enforcing code coverage to avoid unknown application test zones. Then we cover benchmarks and benchmark analytics. You get to understand how good tests can pinpoint where to benchmark and analyze specific parts of the application to allow performance improvements.
Chapter 7, Bottlenecks, covers limits outside the application. This chapter is about the situations when you realize that the performance limit is not because of the application programing but external factors, such as the host hardware, network or client. You'll become aware of the limits that external components can impose on the application, locally or remotely. Moreover, the chapter explains that sometimes, the limits are on the client side and nothing can be done to improve the current performance.