You may not know, what is the most basic and core technology after supporting 1 billion WeChat users? That's network programming.
The larger the Internet communication project, the higher the requirements for the implementation of network programming. Landing means higher requirements for actual combat.
Therefore, some friends prefer to use a packaged framework like Netty - fast and efficient. Indeed, we often value development efficiency more than development details.
But in daily projects, we also have to face extreme network performance tests. No one likes traffic jams, but when dealing with a large number of requests, if the network performance is not handled well, data and business will face heavy traffic jams .
To give a positive example, NSFOCUS had an information security product called Black Hole, which was the most successful DDOS filtering device on the market at the time. The biggest technical difficulty of this thing is that when the flood of attack messages arrives, hundreds of thousands of attack requests must be filtered out every second. Before that, I never thought that the efficiency of processing network messages through program code could reach such a powerful level.
This was the case in the early years, not to mention today's 5G era. The greatly improved average network transmission speed of users is putting forward high-performance network programming requirements for us: not only to solve problems such as improving throughput and concurrency , but also to deal with various difficult exceptions , such as ensuring the normal operation of tens of millions of connections Run and so on.
These are obviously not something that can be done with just one or two frameworks.
It is a pity that many candidates I have interviewed are not aware of this. Even if they have been working for many years, they are still not very concerned about network protocols and network programming, and their understanding of them is still at a relatively shallow level. level, such as:
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What do the four and seven floors that everyone often refers to respectively?
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What is the TCP three-way handshake and how does TIME_WAIT happen? What is the status of CLOSE_WAIT?
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What problem does epoll under Linux solve? How to use epoll to write high-performance network programs?
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What is a network event-driven model? What is the Reactor pattern?
In fact, whether in interviews or at work, knowledge of network performance and optimization is a very important basic skill. In my opinion, if you want to achieve high-performance network programming, the following two core points can never be avoided:
First, on the basis of understanding network protocols, make full use of the capabilities provided by the operating system kernel to perceive various network I/O events; second, learn to use threads to handle concurrency. Grasp these two points, and you will grasp the "seven inches" of high-performance network programming .
But then again, high performance is based on those solid experiences . To put it bluntly, you need to start from the perspective of solving practical problems , explain knowledge points, and let you thoroughly understand protocols, APIs, and codes. You can use it after learning it
I would like to share with you a core knowledge map of network programming , including all the knowledge points involved in the above two cores. As long as we carefully sort out and thoroughly understand these core knowledge points, we can apply what we have learned to solve practical problems in work. question.
The "Billion-Level Traffic: Java High Concurrency and Programming Practice" shared with friends today has shown a great effect.
Due to the length of the article, it can only be displayed in the form of screenshots. Friends who need it can download it at the bottom of the article
Directory overview
Content overview
Chapter 1 Overview of High Concurrency
Chapter 2 System Analysis and Large-Scale Internet Architecture Design
Chapter 3 Case explanation of new features of JVM and JDK related to high concurrency
Chapter 4 Practical analysis of multi-threaded concurrent packages
Chapter 5 Core Technology of Distributed Network Programming—Remote Calling
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OSI and TCP/IP network models
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Design pattern of practical remote calling─Agent pattern
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Using network programming to implement distributed remote calls
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Two major remote calling solutions: RMI and RPC
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Comprehensive case: Realizing RMI through underlying skills
Chapter 6 NIO case analysis and high-performance chat room practice
Chapter 7 Detailed explanation of high-performance NIO framework Netty examples
Chapter 8 Mainstream RPC Framework Analysis and Cross-Language Call Case RPC Call
Chapter 9 Practical Analysis of High Concurrency Framework Disruptor
Chapter 10 Hands-on development of microservice construction framework Spring Boot
Chapter 11 Spring Family Bucket - Using Spring Boot to Integrate Common Web Components
Chapter 12 Microservice Governance Framework Spring Cloud Theory and Case Analysis
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Spring Cloud key points and introductory cases
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Detailed explanation of microservice registration center Eureka through cases
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Practical use of load balancing components in Spring Cloud
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Stability guarantee for distributed systems─fuse
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The principle and implementation case of service tracking and routing gateway
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Supplementary introduction to Cloud technology stack
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Distributed configuration center Spring Cloud Config microservice communication Spring Cloud Bus.
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Message-driven microservice Spring Cloud Stream
Chapter 13 explains the distributed service framework Dubb through cases
Chapter 14 MySQL performance tuning case practice
Chapter 15 Design and implementation of high-performance and high-availability database solutions based on massive data
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Use MySQL and database middleware to process massive data
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Design and implementation of MySQL master-slave synchronization function.
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Practical implementation of MyCat-based sub-database, sub-table and read-write separation functions
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Use Haproxy to achieve high availability of MyCat
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Use keepalived to prevent Haproxy single point of failure
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Build a high-performance, high-availability, low-latency MySQL architecture
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Build a distributed database based on Oracle
Chapter 16 Using Redis for Persistence and Caching
Chapter 17 Detailed Introduction to the Distributed Computing Framework MapReduce
Chapter 18 Analyzes the internal mechanism of MapReduce through typical cases
Due to the length of the article, it will be displayed here. If you need it, you can download it from the bottom