Now, the functions of websites and applications are more and more rich, and the requirements for network and device performance are naturally higher and higher. Therefore, achieving a high level of system performance has gradually become an indispensable underlying ability for every programmer. However, the traditional perspective of performance optimization, more from the perspective of problems and measurement data, is to passively solve performance problems . Performance optimization work driven by this perspective has many limitations, such as:
- It is easy to cause poor code readability, and only local optimization is achieved;
- This way of working is usually started in the late stage of software engineering, and it will lag behind when problems are found;
- The amount of code that is optimized and integrated at one time is very large, and the probability of quality problems in the software version will be relatively large;
- Since there is no support for design and mathematical theory, it is reasonable to not know the range of performance optimization goals;
- ……
In order to avoid these problems, we must pay attention to and examine software performance from the perspective of the entire software life cycle, and lead software performance through active design and implementation, so as to ensure that software performance remains competitive for a long time . In response to these problems, I combined my more than ten years of performance tuning development experience.
Due to the large amount of content, I will not show all the content one by one! If you need the complete study notes document of this "Java Backend Performance Tuning Practical Collection", please send me a private message [Interview]~
In this set of "Java Backend Performance Tuning Practical Collection" , this module will share with you a set of general methodologies for performance tuning, including methods and skills for performance problem analysis and positioning, to help you quickly and efficiently in actual business scenarios. Find resources that are constrained by performance bottlenecks and continuously monitor analytics targets.
Divided into 7 modules, a total of 20+W words, combining theory and practice, combining scenario cases, and taking you to understand and learn the implementation mode of high-performance coding from four aspects.
Module 1: Performance Optimization Concepts,
Module 2: Design Pattern Tuning,
Module 3: Java programming performance tuning,
Module 4: Multi-threaded performance tuning,
Module 5: JVM performance monitoring and tuning,
Module 6: Database Performance Tuning,
Summarize
In this way, when you stand in the end-to-end perspective of the system, analyze the method in which the software performance has been in a controllable state during the entire process from software design to project release and launch, and think about the starting point and the theory behind it, then It can deeply dig out the global performance design and optimization methodology, so as to effectively improve the management ability of software performance engineering. If you haven't mastered this mainstream technology, and now you want to understand it in the shortest time, you can privately message me [interview]~
