Java Architects share their technical systems, how programmers go from yards to experts

First, source code analysis

Source analysis is a critical knowledge, mastered this critical knowledge, can not change, source analysis for many people is very dull, jerky difficult to understand.

Source reading, I think the core has three points: technical basis + strong curiosity + patience.

I think it is the most core driving force of Reading source code. I see the vast majority of programmers, the attitude towards learning is basically these levels (very extreme OH):

I summed up the current most should learn the source of knowledge points:

Second, distributed architecture

Distributed systems are a complex and broad field of study, learning one or two online courses, and reading one or two books may not completely cover all of their content.

In general, the task of a distributed system is to combine multiple machines organically, connect them together, and make them work together to accomplish a task, which can be a computational task or a storage task. If we must make a classification of distributed system Research in recent years, I personally think that probably can include three parts:

Distributed Storage Systems

Distributed Computing Systems

Distributed Management System

I summarize the current distributed most mainstream technology in recent years:

Third, micro-service architecture

The current microservices are hot and everyone claims to be using a microservices architecture, but what exactly is a microservices architecture? is the micro-service architecture a development trend? We all lack a clear understanding of these issues.

In order to solve the various problems under the single structure, the micro-service architecture emerges. Rather than building a bloated, hard-to-tame monster, you might as well split the service early. The core idea of microservices is service splitting and decoupling, reducing complexity. MicroServices emphasize the rational dismantling of functions, as far as possible to ensure that each service is functionally single, in accordance with the single responsibility principle (Responsibility Principle) clear role. The services are light, flexible and reusable, and can be individually scaled up according to the individual resource requirements of each service.

I summed up the micro-service needs to learn the point of knowledge:

Four, performance optimization

Whether you're dealing with front-end interviews or improving your product experience, performance optimization is a topic that can't be avoided.

The goal of optimization is to let users feel "fast", how to make users feel fast?

Loading speed really quickly, the user opens the input URL press ENTER to immediately see the page

Loading speed does not change fast, but users feel that your site is fast

Performance optimization depends on several factors, including garbage collection, virtual machines, and underlying operating system (OS) settings. There are several tools for developers to use when analyzing and optimizing, and you can learn and use them by reading Java tools for Source Code optimization and analyses.

It is important to understand that no two applications can use the same optimizations, and there is no perfect reference path for optimizing Java applications. Use best practices and stick with the right way to handle performance optimizations. To achieve true maximum performance optimization, you, as a Java developer, need to have a proper understanding of the Java Virtual Machine (JVM) and the underlying operating system.

Is that I summarize the performance optimization should learn to understand a few knowledge system:

V. Concurrent programming

Concurrent programming is almost always a must-ask question for all Internet companies, and concurrent programming is one of the most important skills for Java programmers and one of the hardest skills to master. It requires the programmer to have a deep understanding of the operating principle of the bottom of the computer, while requiring the programmer to be clear and thoughtful, so as to write efficient, secure and reliable multi-threaded concurrent programs. At present, there is no systematic and comprehensive program of concurrent programming learning, I have collected a lot of information to summarize a most comprehensive study outline:

Code changes the world, to soon become tomorrow Daniel, programmers shoulder The burden is very heavy ah, mutual encouragement.

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Java Architects share their technical systems, how programmers go from yards to experts