Preface
We know that high concurrency represents large traffic, and the charm of high concurrency system design lies in our ability to design ingenious solutions with our intelligence, so as to resist the impact of huge traffic and bring users a better use experience. These schemes seem to be able to manipulate the traffic and make the traffic more smoothly processed by the services and components in the system.
How do we deal with large traffic in three ways
The first method is Scale-out.
The second method: use cache to improve performance
The third method: asynchronous processing
Interview with JD. What should big factories like Alibaba do if they encounter these problems
How to handle tens of thousands of order requests per second during the second kill? How to ensure that messages are consumed only once? How to reduce the delay of messages in the message queue system
And the three<10 Billion Level Concurrent System Design I brought to you today is a top-secret document within Alibaba,Core Technology of 100 Billion Level Traffic Website Architecture+Java High Concurrent Network Programming PracticeYou can take a look at the directory first!
The first Design of Ten Billion Concurrent Systems
Directory
The content includes
high concurrency system: what is its general design method?
Pooling technology: How to reduce the performance loss of frequent database connection creation?
Cache: How to speed up the query of dynamic data after the database becomes a bottleneck?
Message queue: How do I handle tens of thousands of order placing requests per second during the second kill?
System architecture: should the system with 10000 requests per second be serviced?
RPC framework: How to realize millisecond service invocation under 100000 QPS?
Design of counting system (I): How to deal with counters with massive data?
Flow control: How do we manipulate flow in a highly concurrent system?
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The data has been sorted to the online disk, and the partners who need these three data can pay attention to and forward the private letter [study] for free
The second Core Technology of the Architecture of Billion-level Traffic Websites
Contents
Isolation
Detailed explanation of current limit
Details of connection thread pool
The third”Billion Level Traffic High Concurrency and Network Programming Practice”
Contents
Chapter 2 System Analysis and Large Internet Architecture Design
Chapter 3 High concurrency related JVM and JDK new features case explanation
Chapter 4 Practical analysis of multi-thread and contract
12. Spring Cloud key points and introduction cases
15. Design and implementation of MySQL master-slave synchronization function
Chapter 17 Introduction to MapReduce
The data has been sorted out to the online disk. The partners who need the three data can follow+forward the private letter [Learn] for free!
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