Take it! The most powerful "high concurrency" system design with 46 consecutive questions, killing all the interviewers in minutes!
Talking about the knowledge related to "high concurrency" system design , I think one thing you must realize is that it is an indispensable tool for you to obtain offers from first-tier manufacturers! ! For major companies ( such as Alibaba, Tencent, Toutiao, etc. ), programmers who only know CRUD are not as attractive as programmers with "high concurrency" system design experience!
So when you interview, the interviewer will ask you to have high concurrency design experience, and some interviewers will ask you what bottlenecks your system may have when it encounters millions of concurrencies, and what optimization ideas you have... The purpose is to test whether you really understand this aspect... To help you quickly master the relevant knowledge of "high concurrency" system design , you must keep these 46 questions (including analysis) in mind, including: Basics - Database Chapter - Cache Chapter - Message Queue Chapter - Distributed Service Chapter - Maintenance Chapter - Practical Chapter
Due to the limited length of the article, it can only be displayed in the form of screenshots. Friends who need learning materials can get relevant information at the end of the article ↓↓↓Business card
"High Concurrency" System Design General Catalog
Note: Due to space reasons, the following are pictures to show the most powerful "high concurrency" system design 46 questions (with analysis), which has nearly 400 pages. If you want the original to study, you can 100% send it to you (free!) , but please pay attention to the method: [ Click here ] to get it for free
"High Concurrency" System Design - Basics
01 Why you should learn high-concurrency system design
02 High-concurrency system: what is its general design method
03 Architecture layering: why we must do this
04 System design goals (1): How to improve system performance
05 System design goals (2) ): How to make the system highly available
06 System design goals (3): How to make the system easy to expand
07 The first interview session: When asked about the component implementation principle, is the interviewer trying to make things difficult for you?
"High Concurrency" System Design - Basics Chapter draws inferences from one example to consolidate must-ask questions:
- The evolution of high-concurrency systems is a gradual process and does not happen overnight. So what experience have you accumulated and what pitfalls have you stepped on during the system evolution?
- We have mentioned various models of layered architecture, such as the three-tier architecture model and the layered architecture model proposed by Alibaba. So how do you do architectural layering in your daily development process? What do you think are the advantages of being so layered?
- We have mentioned some performance optimization principles and basic thinking points, so what performance optimization methods and experiences do you have in your daily work?
- Many means of ensuring high availability have been mentioned, so what design skills do you have to ensure high availability of the system at work?
- The scalability of traditional relational databases is very poor. In your opinion, how do common NoSQL databases solve the scalability problem?
"High Concurrency" System Design-Database
08 Pooling technology: How to reduce the performance loss of frequently created database connections09
Database optimization plan (1): How to separate master and slave when query requests increase10
Database optimization plan (2): How to implement sub-database when the amount of written data increases Table sharding
11 Issuer: How to ensure the global uniqueness of ID after sharding database and table sharding
12 NoSQL: How database and NoSQL can complement each other in high concurrency scenarios
"High Concurrency" System Design-Database Chapter draws inferences from one example to consolidate must-ask questions:
- In actual projects, you may use other pooling technologies. So combined with the content of pooling, would you like to share what other pooling technologies have been used during the research and development process? What pitfalls did you encounter due to pooling technology, and how did you solve them at the time?
- We mentioned that copying data between storage nodes is a common way to improve system availability and performance. So do you know which components use this method? How are they replicated?
- Database sharding and table sharding are actually a data sharding solution in distributed storage. So do you know which distributed storage components also use similar technologies? Do you understand how it is implemented?
- Now that we understand the implementation principle of the distributed serializer and the characteristics of generating IDs, how are your IDs generated in your system?
- NoSQL databases can cooperate with traditional relational databases to solve data storage problems together. So which NoSQL databases do you use in your daily work? What considerations are based on when selecting?
"High Concurrency" System Design - Caching
13 Caching: How to speed up dynamic data queries after the database becomes a bottleneck
14 Cache usage posture (1): How to choose the cache read and write strategy
15 Cache usage posture (2): How to achieve high availability
of cache 16 Cache usage Posture (3): What to do if the cache penetrates
17 CDN: How to speed up static resources
18 How to migrate data
"High Concurrency" System Design - Caching Chapter draws inferences from one example to consolidate must-ask questions:
- What designs that use caching ideas have you seen in your daily work?
- Think about what cache read and write strategies are used when using cache in daily work?
- Based on my own past experience, let’s talk about the importance of cache high availability. For example, what serious problems will be caused when cache high availability decreases? How do you ensure the high availability of cache?
- What other solutions do you have to solve cache penetration in your daily work?
- The availability of CDN is crucial to the system, so you can think about it. In addition to the CDN manufacturer's SLA guarantee, what other solutions can ensure the availability of CDN?
- Based on your actual work experience, can you share what solutions you used when doing data migration? What do you think are the advantages and disadvantages of these solutions?
"High Concurrency" System Design - Message Queue
19 Message Queue: How to handle tens of thousands of order requests per second during flash sale
20 Message Delivery: How to ensure that messages are only consumed once
21 Message Queue: How to reduce the delay of messages in the message queue system
22 Interview Session 2: When asked When it comes to project experience, what exactly does the interviewer want to know?
"High Concurrency" System Design - Message Queue Chapter Draws inferences from one example to consolidate must-ask questions:
- In what scenarios will you use message queues during development?
- The message queue needs to ensure the idempotence of message processing on the production and consumer sides. So what other methods do you know to ensure the idempotence of message processing?
- In actual projects, you may be already familiar with the use of message queues. So what have you done to reduce message latency during the development process?
"High Concurrency" System Design - Distributed Services
23 Starting from the "heart", I still have countless possibilities
24 Analysis of mid-term test questions on high concurrency system design
25 System architecture: Should a system with 10,000 requests per second need to be split into services?
26 Microservice architecture: After microservices How to transform the system architecture
27 RPC framework: How to implement millisecond-level service calls under 100,000 QPS
28 Registration center: How to address distributed systems
29 Distributed Trace: How to troubleshoot slow requests across dozens of distributed components
30 Load balancing: How to improve the horizontal scalability of the system
31 API gateway: How to create a system facade
32 Multi-machine room deployment: How to create a cross-regional distributed system
33 Service Mesh: How to shield the service governance details of a service-oriented system
"High Concurrency" System Design - Distributed Services Chapter draws inferences from one example to consolidate must-ask questions:
- In an actual project, you may have split the system into independent service deployments. So at the beginning, what problems did you encounter during development and operation and maintenance that prompted you to embark on the path of microservices? ?
- Based on your experience in actual microservice transformation, tell me what problems you encountered after the microservices were split? How did you solve it?
- You may have used some RPC frameworks in your actual work. So based on your actual experience, can you tell us what problems you encountered during the use of RPC frameworks? How to troubleshoot and solve it?
- Have you ever connected to a distributed tracing system in your project? What problems did it help you troubleshoot during use?
- In actual work, you must have used many load balancing services and components. So what problems have you encountered during use, and what points should you pay attention to?
- Do you use API gateway in your project? Have you encountered any problems when using API Gateway?
- In actual projects, under what circumstances would you consider using a multi-computer room deployment solution? What pitfalls did you encounter during the implementation?
- In actual work, have you ever used Service Mesh to solve cross-language service governance issues? Have you ever stepped on any pitfalls while using it?
"High Concurrency" System Design - Maintenance
34 Add eyes to the system: How to do server-side monitoring
35 Application performance management: How to monitor user experience
36 Stress testing: How to design a full-link stress testing platform
37 Configuration management: How to do thousands of configuration items Management
38 Downgrade circuit breakers: How to shield the impact of non-core system failures
39 Traffic control: How do we control traffic in high-concurrency systems
40 Interview site phase 3: How do you prepare for a technical interview?
"High Concurrency" System Design-Maintenance Chapter draws inferences from one example to consolidate must-ask questions:
- In actual work, how do you set up your server-side monitoring system? What monitoring reports and monitoring items are there?
- In actual work, how does your team discover problems on the client through monitoring?
- In actual work, how is the stress test of your system performed? What performance bottlenecks were discovered during the stress test?
- Let’s talk about it based on the actual situation. What is the configuration management method in your project?
- Based on your actual work experience, can you tell me what downgrade plans you have formulated in your projects? What are the considerations when formulating a downgrade plan?
- In your actual projects, have you ever used current limiting to protect the system from being overwhelmed by high concurrent traffic? What algorithm is used?
"High concurrency" system design - practical chapter
41 Counting system design (1): How to use counters in the face of massive data
42 Counting system design (2): How to design an unread system under 500,000 Q PS
43 Information flow design (1): Push mode of general information flow system How to do it
44 Information flow design (2): How to do the pull mode of general information flow system
45 How to find and troubleshoot problems under high concurrency
46 How do we prepare to resist traffic peaks
"High concurrency" system design - practical chapter draws inferences from one example to consolidate must-ask questions:
- Do you also have a large number of counting requirements in your system? How did you design the scheme to store and read these counts?
- Let’s talk about the unread count scenarios in your system based on actual projects. How did you design the solution to implement unread counting?
- Have you ever designed this kind of information flow system? If you were to design it, how would you solve the delay problem in push mode?
- Have you used pull mode to implement the information flow system in your project? What problems did you encounter during the design process? How did you solve it?
- What weird problems have you encountered during the development and maintenance of your project? What method did you use to discover and investigate?
- Based on your actual work, let’s talk about how you formulate a plan when facing a sudden traffic impact?
Summarize
In summary, this is the entire content of this 46-question series on the most powerful "high concurrency" system design. The space is limited and I won't go into details. The pictures can only give an idea of the general content.
Take it! If you need the original copy, you can share it (free!)
Due to the limited length of the article, it can only be displayed in the form of screenshots. Friends who need learning materials can obtain relevant information below ↓↓↓Business Card