3 The interviewer asked: How to design a high concurrency system?

Faced with a concurrent volume of more than 100 million, if ensuring that your system does not crash has become an eternal topic of discussion, what if you stand on the shoulders of giants to optimize your company's system architecture?

Usually we have three solutions when facing high concurrent traffic: Scale-out (horizontal expansion), caching, and asynchronous (how to operate here will not go into details here)! You usually use asynchronous calls like 12306.

At the same time, what I also want everyone to know is that the evolution of a high-concurrency system should be gradual and orderly, with the purpose and driving force of solving the problems existing in the system. Don't follow the trend blindly, learn to take the essence and discard the dross!
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Ali internal top-secret tens of billions of concurrent system design

Have you ever worked on a high-concurrency system? No high concurrency practical experience? It doesn't matter, this time I risked being fired to share with you a top-secret internal information "Design of Concurrent Systems at the Billion Level" in Ali. After reading this information, you will definitely stand up in front of the interviewer!

The actual combat tutorial is divided into basic articles + database articles + cache articles + message queue articles + distributed service articles + maintenance articles + actual combat articles , full of dry goods!

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Basic

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High Concurrency System: What is its general design approach?

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Three goals of high concurrency system design: high performance, high availability, and scalability

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Database

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

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Database optimization plan (1): When query requests increase, how to separate the master from the slave?

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Database optimization plan (2): When the amount of written data increases, how to implement sub-database and sub-table?

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Cache

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

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Cache usage posture (1): How to choose the cache read and write strategy?

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Cache usage posture (2): How to achieve high availability of cache?

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Cache usage posture (3): What should I do if the cache penetrates?

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Message Queue

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

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Message queuing: how to reduce the latency of messages in a message queuing system?

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Distributed Services

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

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Registry: How is a distributed system addressed?

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Maintenance

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Downgrade Fuse: How to shield the impact of non-core system failures?

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Flow Control: How do we manipulate flow in a high concurrent system?

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Combat articles

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

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Counting system design ((2): How to design a non-counting system under 500,000 QPS?

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Topping the list, starting from the latest version of Ali’s latest version of billion-level concurrent system design documents with Github’s one-million-star rating

3 The interviewer asked: How to design a high concurrency system?

Ali internal top-secret tens of billions of concurrent system design

Basic

High Concurrency System: What is its general design approach?

Three goals of high concurrency system design: high performance, high availability, and scalability

Database

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

Database optimization plan (1): When query requests increase, how to separate the master from the slave?

Database optimization plan (2): When the amount of written data increases, how to implement sub-database and sub-table?

Cache

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

Cache usage posture (1): How to choose the cache read and write strategy?

Cache usage posture (2): How to achieve high availability of cache?

Cache usage posture (3): What should I do if the cache penetrates?

Message Queue

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

Message queuing: how to reduce the latency of messages in a message queuing system?

Distributed Services

Distributed Services

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

Registry: How is a distributed system addressed?

Maintenance

Downgrade Fuse: How to shield the impact of non-core system failures?

Flow Control: How do we manipulate flow in a high concurrent system?

Combat articles

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

Counting system design ((2): How to design a non-counting system under 500,000 QPS?

write at the end

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