The Cloud changed how we use infrastructure, making it more accessible and available. But, it is also easier to spin instances to solve performance problems.
The so-called design of a high-concurrency system is to design a system that, while ensuring overall availability, can handle a high volume of concurrent user requests and withstand significant traffic impacts.
To design a high-concurrency system, we need to address some common system bottleneck issues, such as insufficient memory, lack of disk space, insufficient number of connections, and inadequate network bandwidth, to cope with sudden traffic peaks.
There are 15 aspects that can be optimized:
1. Divide and conquer, horizontal scaling
2. Microservices decomposition (system splitting)
3. Database sharding
4. Pooling technology
5. Master-slave separation
6. Use of caching
7. CDN to accelerate access to static resources
8. Message queues to flatten peaks
9. Elasticsearch
10. Downgrading and circuit breaking
11. Rate limiting
12. Asynchrony
13. Regular optimization
14. Stress testing to identify system bottlenecks
15. Responding to sudden traffic peaks: scaling up + traffic switching
The so-called design of a high-concurrency system is to design a system that, while ensuring overall availability, can handle a high volume of concurrent user requests and withstand significant traffic impacts.
To design a high-concurrency system, we need to address some common system bottleneck issues, such as insufficient memory, lack of disk space, insufficient number of connections, and inadequate network bandwidth, to cope with sudden traffic peaks.
There are 15 aspects that can be optimized:
1. Divide and conquer, horizontal scaling
2. Microservices decomposition (system splitting)
3. Database sharding
4. Pooling technology
5. Master-slave separation
6. Use of caching
7. CDN to accelerate access to static resources
8. Message queues to flatten peaks
9. Elasticsearch
10. Downgrading and circuit breaking
11. Rate limiting
12. Asynchrony
13. Regular optimization
14. Stress testing to identify system bottlenecks
15. Responding to sudden traffic peaks: scaling up + traffic switching
Great additions, Meng!
Queues are really handy in a lot of use cases concerning the handling of more work.
Nice explanation Raul and some cool diagrams to go along.
Thanks for the mention as well! Much appreciated.
Thanks, Saurabh!