Programmers with ten years of development experience tell you, what core competitiveness do you lack?

One 、 Source code analysis

Source code analysis is a kind of critical knowledge , Having mastered this critical knowledge , To be able to change without change , Source code analysis is boring for many people , It's hard to understand .

Source code reading , I think there are three points at the core ： Technology base + A strong thirst for knowledge + Patience, .

I think it's the core driver of reading source code . I see the vast majority of programmers , Attitude towards learning , It's basically these levels ( It's extreme )：

1. Just focus on the project itself , Don't understand baidu once .

2. Besides doing a good project , I will also read technical books related to the project , see wikipedia.

3. Besides reading books related to the project , And read IT Industry books , Like learning Java when , I'll also learn about functional languages , Such as LISP.

4. Look for some open source projects , Try a lot of third-party frameworks , And write demo.

5. Read the basic framework 、J2EE standard 、Debug Server kernel .

Most of the programs are No 1 Kind of , To the first 5 Planting doesn't just require a lot of interest , It takes courage ： Can I understand ？ Actually , What you can read .

Patience, , It's really important . Because you rarely read source guidance articles or books , No one asked or suggested that you read . You often get stuck in the process of reading , And a card owner may be trapped in a maze . At this time , What you need to do , It may be a temporary interruption , Look at it from the outside ： Such as API structure 、 The design of the frame .

The following figure is the source code knowledge that I should learn at present ：

Two 、 Distributed architecture

Distributed system is an old and broad topic , In recent years, because of “ big data ” The rise of concepts , It also radiates new youth and vitality . besides , Distributed system is also a subject with equal emphasis on theoretical model and engineering techniques . Compared with the research direction of machine learning , Students who study distributed systems often feel ：“ It's easy to get started , It's hard to go deep ”. You bet , Learning distributed systems requires little mathematical knowledge .

Distributed system is a complex and broad research field , Take one or two online courses , Reading a book or two may not cover all of its contents .

in general , The task of distributed system is to combine multiple machines organically 、 Connect , Let them work together to accomplish a task , It could be a computing task , It can also be a storage task . If we must make a classification for the research of distributed system in recent years , I think it can be divided into three parts ：

• Distributed storage system

• Distributed computing system

• Distributed management system

The following is my summary of the most popular distributed technologies in recent years ：

3、 ... and 、 Microservices

Currently, microservices are very hot , Everyone claims to be using microservice Architecture , But what exactly is microservice Architecture ？ Is microservice architecture a trend ？ For these questions , We all lack a clear understanding of .

To solve all kinds of problems under the single architecture , Microservice architecture came into being . Instead of building a bloated and huge 、 Monsters that are difficult to tame , It's better to split up the service as early as possible . The core idea of microservice is service splitting and decoupling , Reduce complexity . Microservice emphasizes reasonable dismantling of functions , As far as possible to ensure that the function of each service is single , According to the principle of single responsibility （Single Responsibility Principle） Define the role . Make services light , To be flexible 、 Reusable , According to the resource requirements of each service , To deploy alone , To expand horizontally alone .

The following figure is a summary of what I need to learn about microservices ：

Four 、 performance optimization

Whether it's dealing with front-end interviews or improving the product experience , Performance optimization is an unavoidable topic .

The purpose of optimization is to let users have “ fast ” Feelings , How to make users feel fast ？

• Loading speed is really fast , The user opens the input URL and presses enter to see the page immediately

• The loading speed didn't get faster , But users feel your site is fast

Performance optimization depends on a number of factors , Including garbage collection 、 Virtual machine and underlying operating system （OS） Set up . There are multiple tools available for developers to analyze and optimize , You can read Java Tools for Source Code Optimization and Analysis To learn and use them .

It must be understood that , No two applications can use the same optimization , There's no perfect optimization java The reference path of the application . Use best practices and stick to the right way to handle performance optimization . To achieve the highest real performance optimization , You as a Java Developer , Need to be right Java virtual machine （JVM） Have a correct understanding of the underlying operating system .

The above five knowledge systems are the experiences I have summed up over the years , They are all the most mainstream technologies at present .

The following figure is a summary of several knowledge systems I should learn to understand in performance optimization ：

5、 ... and 、Java engineering

A good workman does his work well , You must sharpen your tools first , Whether it's Xiaobai , Or senior development , We need to choose the right tools first . How to improve development efficiency and team cooperation efficiency . Give yourself more time to think .