After watching Alibaba programmers do JVM tuning, I understand the difference between 12K and 40K

How can we do good performance tuning?

Regarding performance tuning, let me first talk about my feelings. Java performance tuning is not like learning a programming language. It cannot be mastered and applied through linear thinking. It requires engineers to have high technical breadth and depth.

In the Internet era, a simple system includes applications, databases, containers, operating systems, networks and other technologies. Once performance problems occur online, you may need to coordinate multiple components for optimization. This is the breadth of technology; and many performance problems are hidden deeply, maybe because of a small code, or because of the wrong choice of thread pool type... But in the final analysis, the test is our understanding of this technology. This is technical depth.

Obviously, performance tuning is not an easy task. But is there any way to do this well?

In this article, we will start from actual combat, select high-frequency performance issues, and extract optimization ideas and solutions through the underlying Java source code. The implementation principle behind it finally forms a set of "tuning methodology that can be used after learning". This is also the requirement of many first-tier manufacturers for senior engineers. I hope this article will help you advance quickly.

Java Tuning

Performance Tuning Strategy Diagram

Design Tuning

JVM Tuning

More Thread tuning

Database tuning

Java program optimization

Parallel program development and optimization

Java performance tuning tools

Practical training ground

Finally

This article is suitable for all Java programmers, software designers, architects and software development enthusiasts. It is also suitable for Java engineers with certain experience. , it can help break through technical bottlenecks and go deeper into Java kernel development!

I hope this article can be helpful to readers in their work.