After working on Android for 5 years, I switched to Java backend!

Many people feel that they have reached a bottleneck after 4 or 5 years of Java development. They know everything and know nothing. How to change the dilemma? Why are many people still coders after 7 or 8 years? Too much passivity in work is due to not understanding the underlying principles. The work pace of the company is relatively fast, and it is difficult to have the opportunity to learn architectural principles, and no one teaches. Therefore, at this time, learning architectural principles and expanding thinking are particularly important for your future career.

There are two new employees in the same company. One of them can learn things very quickly, while the other learns very slowly and painfully. New technologies are everywhere. Why? Because the other person understands the principles. Everything has its own rules. If you master the rules, you can learn other things in the same way. If you don't understand the principles, you will run into obstacles everywhere. Learning is very slow and painful.

Many programmers have a distress. After working for a long time, they just keep adding, deleting, modifying and checking in the company, but they cannot improve their skills and have no knowledge of the underlying code. They can only use it without knowing its principles! Many friends asked how to deeply learn the Java backend technology stack. Today I will share a Java in-depth learning roadmap compiled by an Internet expert, as well as free learning materials.

1. Read the source code

In-depth Java learning requires reading classic source code:

• Common design patterns, essential for coding
• Spring5, an essential framework for applications
• MyBatis, an essential component for playing with databases

Voiceover: Ask yourself, apart from writing business code, how many excellent open source codes have you read?

2. Distributed Architecture

As the business becomes more and more complex, the amount of data becomes larger and larger, and the amount of concurrency becomes larger and larger, the monolithic architecture model obviously can no longer cope with it. As a Java backend architect, a distributed architecture system with high concurrency + high availability + massive data is essential:

• Distributed architecture principles
• Distributed architecture strategy
• Distributed middleware
• Distributed architecture practice

Voiceover: Um, do you feel that you have only heard about these distributed theories sporadically, but have never studied them systematically?

3. Microservice Technology System

Service layering and microservice architecture are the only way to upgrade the architecture. What Java technology system and microservice-related technologies need to be learned in depth?

• Microservices Framework
• Spring Cloud
• Docker and Virtualization
• Microservices Architecture

Voiceover: You know Spring Cloud and Docker are the trends, so why don’t you make up your mind to learn them?

4. Performance Optimization

As a backend Java technical expert, solving performance problems is the real manifestation of an architect's ability. Only by deeply studying the underlying principles of JVM, MySQL underlying optimization and Tomcat tuning can you know the reasons behind it:

• Performance Index System
• JVM Tuning
• Web Tuning
• DB Tuning

Voiceover: Do you have no idea what to do when you encounter performance problems? Do you have to rely on blindly logging and modifying the code? To solve performance problems, you can't just rely on luck!

5. Typical business practice

After reading Java source code, learning about distributed and microservice architecture, and mastering performance tuning methods, how can you just be a PPT architect?

• User Center, how to use single sign-on
• How to play with goods and stores
• How to order and pay
• How to use notifications and push notifications
• How to play data analysis
• Only through actual combat can you stand on the top of Mount Hua.

Voiceover: Do you have no idea what to do when you encounter performance problems? Do you have to rely on blindly logging and modifying the code? To solve performance problems, you can't just rely on luck!