Java performance optimization
Java has always been an extremely practical language. Its initial attitude towards performance is that as long as the environment is fast enough and can improve development efficiency, it can sacrifice original performance. So until recent years, as JVMs such as HotSpot have matured and improved, the Java environment has only begun to be suitable for high-performance computing applications. But the most real situation is that when your team does not pay much attention to performance, when the system is in trouble, the team will rush to analyze it. At this time, performance "heroes" are needed to save the field.
Not only that, the four words performance optimization, whether for work or interview, will frequently appear in our sight. As a contemporary Java programmer, it can be said that if you want to stay in the interview and raise your salary, you cannot optimize performance. Under the general trend, performance optimization is already one of the skills we Java programmers must master! But recently I received a lot of private messages from fans, saying that I want to learn performance optimization, but I don't know where to start! Today I just take this opportunity to show you a copy of the best practices for Java performance optimization that I got from Ali’s big brother some time ago. After reading it, you know that the gap is more than a little bit!
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Java performance optimization best practices
Clear optimization and performance
Misunderstandings about Java performance
JVM overview
Execute bytecode
Hardware and operating system
The overall architecture of CPU and memory
operating system
Performance testing patterns and anti-patterns
Performance Testing
Performance anti-pattern catalog
Microbenchmarks and statistics
Java performance measurement
Understanding garbage collection
HotSport runtime
Allocation and life cycle
Advanced Garbage Collection Topics
Trade off pluggable collectors
Basic JVM flags for CMS
Garbage collection logs, monitoring, tuning and tools
Log parsing tool
Tuning the CMS
Code execution on the JVM
Bytecode interpretation overview
AOT compilation and JIT compilation
Understand just-in-time compilation
Debug JVM and hsdi
Java language performance technology
Optimized collection
Optimization considerations for mapping
Concurrent performance technology
Parallel introduction
Build concurrency library
Anatomy
Tools for developers
High-performance log and message system
Use Real Logic library to achieve low latency
Java 9 and the future direction of Java
Java 10 and future versions
At last
The answer to performance questions is to know your tools. You not only need to understand how the Java language works, but also how the JVM class library, memory, compiler, garbage collector, and the hardware on which the application runs interact. If you are not clear about these, then this document should help you a lot!
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