What effect does billion-level traffic have on e-commerce?
For high-concurrency scenarios, such as e-commerce, o2o, portals, and other Internet projects, caching technology is the most common application technology in Java projects. However, the understanding and mastery of caching technology by many friends in the industry is only limited to the basic use of redis/memcached and other caching technologies. At most, they understand some cluster-related knowledge, and most people can master caching technology to this level. However, only mastering caching-related technologies to this extent, whether it is for developing complex high-concurrency systems, or in the process of developing to high-level positions such as Java senior engineer, Java senior engineer, and Java architect, is very important. is totally inadequate. There is a bottleneck in technology growth. In my company's projects, there are no challenging projects with high concurrency and high availability. I don't know how to grow, and I don't know how to improve my technology to a higher level. This has become a confusion for many students' career development.
Billion-level traffic is now a must-have interview content for big companies, because it is used too much, like some of the more well-known big companies: Ali/Jingdong/Taobao/Meituan/Pinduoduo These all use 100 million Large-scale Internet companies with a lot of concurrent traffic!
Let me show you a manual snatched from Ali Daniel:
Let me show you the chapters first:
Friends who need to get this book can get it for free on the official account at the end of the article
Chapter content display:
- The technical cornerstone of large-scale systems - high concurrency
- High concurrency principle
- Evolution of large systems
- JVM core concepts and JVM support for high concurrency
- Multi-threaded concurrent package
- OSI and TCP/IP Network Model
- Netty quick start
- High concurrency framework
- springboot entry case
- spring family bucket
- Essentials of Spring Cloud and Introductory Cases
- Dubbo core overview
- database
- Redis Practical Lecture
end
The content will not be displayed too much here, and those who need to get it can scan the code below for free