One, source code analysis
Source code analysis is a kind of critical knowledge, master this critical knowledge, can be invariable should change, source code analysis for many people is very boring, difficult to understand.
Read the source code, I think there are three core points: technical basis + strong thirst for knowledge + patience.
I think is the core driver of reading source code. The majority of programmers I’ve seen have this kind of attitude toward learning:
The following is my summary of the current most should learn source knowledge:
Distributed architecture
Distributed systems are a complex and broad field of study, and a course or two online, or a book or two, may not cover all of it.
In general, the task of distributed system is to combine and connect multiple machines organically, so that they can cooperate to complete a task, which can be a computing task, or a storage task. If I have to make a classification of distributed system research in recent years, I think it can probably be divided into three parts:
Distributed storage system
Distributed computing system
Distributed management system
Here is my summary of the most mainstream distributed technologies in recent years:
3. Micro-service architecture
Microservices are hot right now, and everyone claims to be using microservices architecture, but what exactly is microservices architecture? Is microservices architecture a trend? We all lack a clear understanding of these issues.
In order to solve the problems under the single architecture, the microservice architecture came into being. Better to break up services sooner rather than build a bloated monster that is hard to tame. The core idea of microservices is to split and decouple services to reduce complexity. Microservices emphasize the reasonable disassembling of functions, as far as possible to ensure the Single function of each service, and clear roles according to the Single Responsibility Principle. Make each service light, so as to be flexible and reusable, and also according to the needs of each service’s own resources, separate deployment, separate horizontal expansion.
The following is a summary of the knowledge points I need to learn about microservices:
Fourth, performance optimization
Whether it’s dealing with a front-end interview or improving the product experience, performance optimization is a topic that can’t be avoided.
The purpose of optimization is to make users feel “fast”, so how to make users feel fast?
Loading speed is really fast, the user opened the input URL press enter immediately see the page
It doesn’t load faster, but your site feels fast to your users
Performance optimization depends on several factors, including garbage collection, virtual machine, and underlying operating system (OS) Settings. There are several Tools available to developers for Analysis and Optimization, and you can learn and use them by reading Java Tools for Source Code Optimization and Analysis.
It is important to understand that no two applications can be optimized the same way, and there is no perfect reference path for optimizing Java applications. Use best practices and insist on handling performance optimizations in an appropriate manner. To achieve the true highest performance optimization, you as a Java developer need to have a correct understanding of the Java Virtual Machine (JVM) and the underlying operating system.
The following is a summary of what I should learn and understand about performance optimization:
5. Concurrent programming
Concurrent programming is one of the most important skills for Java programmers, and one of the most difficult to master. It requires programmers to have a deep understanding of the operation principle at the bottom of the computer, and requires programmers to be logical and thoughtful, so as to write efficient, safe and reliable multithreaded concurrent programs. At present, there is no systematic and comprehensive learning outline of concurrent programming on the Internet. I collected a lot of information and summarized the most comprehensive learning outline:
Code to change the world, to become the leader of tomorrow, programmers shoulder a heavy burden ah, encourage.
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