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My 2022 JVM Learning Summary

2022-12-31

Introduction

2022 was the year I studied the JVM in depth. From initial curiosity about the JVM to systematically learning its internals, this year of study gave me a much deeper understanding of the Java Virtual Machine.

What I Learned

1. JVM Fundamentals

In early 2022, I began systematically learning JVM fundamentals, including:

  • JVM classifications (e.g., Oracle HotSpot VM)
  • The JVM memory model
  • The class loading mechanism
  • Garbage collection algorithms

2. Understanding the JVM in Depth

Through books such as Understanding the JVM, I dug deep into:

  • The class file structure
  • The class loading process
  • The Java memory model
  • Memory barriers and JVM instructions
  • The GC collector tri-color marking algorithm
  • PS+PO tuning in practice
  • JVM tuning in practice

3. Applied Practice

At work, I applied my JVM knowledge to real projects:

  • Performance optimization for the message center project
  • Memory management optimization for the lottery system
  • Hands-on system tuning

Key Takeaways

1. Building a Theoretical Foundation

Over the year, I built a complete JVM knowledge base:

  • Understood the JVM's architectural design
  • Mastered the memory management mechanism
  • Learned GC tuning methods

2. Improved Practical Skills

  • Able to analyze and resolve JVM-related issues
  • Capable of system performance tuning
  • Able to configure and optimize JVM parameters

Looking Ahead

In 2023, I plan to keep digging into the JVM:

  • Learn more JVM implementations (e.g., OpenJ9)
  • Study new technologies such as GraalVM in depth
  • Explore the JVM in cloud-native environments

Learning the JVM is an ongoing process; I will keep exploring and steadily improving my technical skills.