The interviewer asked: How to design a high concurrency system?
To be honest, if the interviewer asks you this question, then you have to use all your energy. Why? Because you haven't seen many JDs recruited by companies now that people with high concurrency experience are preferred.
If you really have real talents and have worked on high-concurrency systems in an Internet company, then you really have to take the offer as if you are looking for something, there is no problem. The interviewer would never ask you this way, otherwise he would be stupid.
Suppose you work on a high-concurrency system in a well-known e-commerce company, with hundreds of millions of users, billions of traffic per day, and tens of thousands, even 100,000, at peak concurrency. Then people will ask your system architecture carefully, what architecture is your system? How is it deployed? How many machines are deployed? How is the cache used? How is MQ used? How is the database used? It is to dig deep into how you can handle high concurrency.
Because people who have really done high concurrency must know that the system architecture that is separated from the business is all on paper. When it is really complex business scenarios and high concurrency, the system architecture must not be that simple. Use redis and use mq. Can it be done? Of course not. When the real system architecture is combined with the business, it will be many times more complicated than this simple so-called "high concurrency architecture".
If an interviewer asks you a question, how to design a high concurrency system? So sorry, it must be because you have not actually done a high concurrency system . The interviewer looks at your resume and doesn’t look good, and it feels bad, so he will ask you how to design a high-concurrency system? In fact, to put it bluntly, the essence is to see if you have studied it yourself and have accumulated knowledge.
The best is of course to recruit a guy who really has a high concurrency, but this kind of guys are scarce and difficult to recruit. So maybe the next thing is to recruit a buddy who has studied by yourself, it is better than recruiting a buddy who knows nothing!
So at this time you have to do a personal show, show off all your knowledge about high concurrency!
Ali's internal top-secret "10-billion-level concurrent system design"
Really did not do too high concurrent system? No high-concurrency actual combat experience? It doesn't matter, this time I took the risk of being fired to share with you a top-secret Alibaba internal information "Ten Billion Concurrent System Design", finishing this information will definitely make you stand up in front of the interviewer!
The actual combat tutorial is divided into basic articles + database articles + caching articles + message queue articles + distributed services articles + maintenance articles + actual combat articles, full of dry goods
Due to space reasons, the article only introduces the general content. Please forward + follow, and then add VX (tkzl6666) to get the free way to get the full version of the practical tutorial of the top-secret Alibaba internal information "Ten billion Concurrent System Architecture". (If it’s 100% free)
1. Basics
01 | High Concurrency System: What is its general design method?
We know that high concurrency represents large traffic, and the charm of high-concurrency system design lies in our ability to design clever solutions with our own ingenuity to resist the impact of huge traffic and bring users a better experience. These solutions seem to be able to manipulate the flow, making the flow more smoothly processed by the services and components in the system.
02 | Architecture Layering: Why do we have to do this?
In the phase of the system from 0 to 1, in order to get the system online quickly, we usually do not consider layering. However, as the business becomes more and more complex and a large amount of code is entangled, problems such as unclear logic, interdependence of various modules, poor code scalability, and changes in one place will affect the whole body. At this time, layering the system will be on the agenda, so how do we layer the architecture? What is the relationship between architecture layering and high-concurrency architecture design? This chapter will take you to find the answer.
03 | System design goal (1): How to improve system performance?
04 | System design goal (2): How to achieve high availability of the system?
05 | System design goal (3): How to make the system easy to expand?
When it comes to Internet system design, the words you may hear most are the "three highs", that is, "high concurrency," "high performance," and "high availability". They are the eternal theme of Internet system architecture design. In the first two chapters, I have taken you to understand the meaning, significance and principle of hierarchical design of high-concurrency system design. Next, take you to understand the overall goal of high-concurrency system design
06 | The first phase of the interview site: When asked about the principle of component implementation, is the interviewer making things difficult for you?
Database articles
07 | Pooling technology: How to reduce the performance loss of frequently creating database connections?
Entering the evolution chapter formally, I will start from the part and take you one by one to understand some of the methods used to complete these goals. These methods will specifically solve the problems that arise in the design of high concurrency systems. For example, in the 15th lecture, I will mention the Bloom filter. This component is to solve the problem of how to improve the cache hit rate when there is a large amount of cache penetration.
08 | Database optimization plan (1): How to separate master and slave when query requests increase?
09 | Database optimization plan (2): How to implement database and table splitting when the amount of written data increases?
10 | Issuer: How to ensure the global uniqueness of ID after sub-database and sub-table?
11 | NoSQL: How do databases and NoSQL complement each other in high concurrency scenarios?
Take your vertical e-commerce system as an example to show you how to use NoSQL databases and relational databases to complement each other and jointly bear the impact of high concurrency and large traffic.
Due to space reasons, the article only introduces the general content. Please forward + follow, and then reply to me with the keyword "666" in a private message to get the free way to get the full version of the practical tutorial of "Ten-Billion Concurrent System Architecture", which is the top-secret information from Ali. (Promise 100% free)
Cache articles
12 | Caching: After the database becomes the bottleneck, how to speed up the query of dynamic data?
This chapter is the general outline of the cache chapter. It will take you to grasp the design ideas and concepts of the cache from the three aspects of cache definition, cache classification, and cache advantages and disadvantages, and then use the remaining 4 chapters to take you to master the use of cache in a targeted manner. Correct posture so that you can better use the cache to improve the overall system performance in actual work.
13 | The usage posture of the cache (1): How to choose the read and write strategy of the cache?
14 | The use posture of cache (2): How to make cache highly available?
15 | Cache usage posture (3): What should I do if the cache penetrates?
I took you to understand the definition, classification and deficiencies of caches. You should now have a preliminary understanding of caches. From this chapter, I will take you to understand the correct posture of using the cache, such as what is the read and write strategy of the cache, how to make the cache highly available, and how to deal with cache penetration. By understanding these contents, you will have a deep understanding of the use of the cache, so that you can use the cache in the actual work.
16 | CDN: How to accelerate static resources?
Message Queue
17 | Message Queue: How to handle tens of thousands of order requests per second during the spike?
How do we use the message queue to solve the problem in the spike scenario? Next, let's take a look at the role of message queues in the spike scenario with specific examples.
18 | Message Delivery: How to ensure that the message is only consumed once?
How do we guarantee that the generated message will be consumed and only consumed once? Although this question sounds simple and easy to understand, it actually hides a lot of mysteries. In this section, I will take you to explore in depth.
19 | Message Queuing: How to reduce the delay of messages in the message queuing system?
After learning the first two sections, I believe you have an understanding of how to use message queues to deal with peak traffic during spikes in vertical e-commerce projects. Of course, you should also know what to do to ensure that the message will not be lost and try to avoid the impact of repeated messages. Then let me think about it: In addition to these contents, what points do you need to pay attention to when using message queues?
20 | The second session of the interview site: When asked about the project experience, what exactly does the interviewer want to know?
Due to space reasons, the article only introduces the general content. Please forward + follow, and then add VX (tkzl6666) to get the free way to get the full version of the practical tutorial of the top-secret Alibaba internal information "Ten billion Concurrent System Architecture". (If it’s 100% free)
Distributed Service
21 | System Architecture: Will the system with 10,000 requests per second be service-oriented?
22 | Microservice architecture: After microservices, how to transform the system architecture?
23 | RPC framework: How to implement millisecond-level service calls under 100,000 QPS?
24 | Registration Center: How to address the distributed system?
25 | Distributed Trace: How to troubleshoot slow requests across dozens of distributed components?
26 | Load balancing: How to improve the horizontal scalability of the system?
27 | API Gateway: How to do the facade of the system?
28 | Multi-room deployment: How to do cross-regional distributed systems?
29 | Service Mesh: How to shield the service governance details of the service system?
Due to space reasons, the article only introduces the general content. Please forward + follow, and then add VX (tkzl6666) to get the free way to get the full version of the practical tutorial of the top-secret Alibaba internal information "Ten billion Concurrent System Architecture". (Promise 100% free)
Maintenance
30 | Adding eyes to the system: how to do server-side monitoring?
31 | Application Performance Management: How should the user experience be monitored?
32 | Stress Test: How to design a full-link stress test platform?
33 | Configuration Management: How to manage thousands of configuration items?
34 | Downgrade fusing: How to shield the effects of non-core system failures?
35 | Flow Control: How do we manipulate the flow in a highly concurrent system?
36 | Interview Site Phase 3: How do you prepare for a technical interview?
Actual combat
37 | Counting system design (1): How to do counters facing massive data?
38 | Counting System Design (2): How to design an unread system under 500,000 QPS?
39 | Information flow design (1): How to do the push mode of the general information flow system?
40 | Information flow design (2): How to do the pull mode of the general information flow system?
Due to space reasons, the article only introduces the general content. Please forward + follow, and then add VX (tkzl6666) to get the free way to get the full version of the practical tutorial of the top-secret Alibaba internal information "Ten billion Concurrent System Architecture". (Promise 100% free)