GitHub Hot List This "Billion-Level Traffic Concurrency Handbook" thoroughly reveals the secret of Ali's high traffic

foreword

We know that high concurrency means large traffic. The charm of high concurrency system design is that we can design ingenious solutions with our own ingenuity, so as to resist the impact of huge traffic and bring users a better experience. These schemes seem to manipulate traffic so that it is handled more smoothly by services and components in the system.

So how do we change the three ways to deal with large traffic?

The first method: Scale-out.

The second method: use cache to improve performance

The third method: asynchronous processing

What should big companies like JD.com and Ali do if they encounter these problems?

  • How to handle tens of thousands of order requests per second during seckill?

  • How to ensure that the message is only consumed once?

  • How to reduce the latency of messages in a message queuing system?

And the "Design of Ten Billion-Level Concurrency System" I brought to you today is a top-secret document inside Ali. Starting from the basics, let's see how the boss builds a high-concurrency system step by step. You can take a look at the catalog first!

The information has been organized into the network disk, and the small partners who need it can get it for free by following + forwarding it and private message [Learning]!

Table of contents

 

content contains

High Concurrency System: What is its general design approach?

Pooling technology: how to reduce the performance loss of frequently creating database connections?

Cache: After the database becomes the bottleneck, how to speed up the query of dynamic data?

Message Queue: How to handle tens of thousands of order requests per second during seckill?

System architecture: Does a system with 10,000 requests per second need to be split into services?

RPC framework: How to implement millisecond-level service calls under 100,000 QPS?

Distributed Trace: How to troubleshoot slow requests across dozens of distributed components?

Counting system design (1): How to deal with counters with massive data?

Flow Control: How do we manipulate traffic in a high-concurrency system?

Application performance management: How should the user experience be monitored?

Due to the limitation of the article, all other content will not be displayed!

The information has been organized into the network disk, and the small partners who need it can get it for free by following + forwarding it and private message [Learning]!

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Origin blog.csdn.net/HongYu012/article/details/128147566