Microservices and API Used for Stack Overflow

Requirements for Stack Overflow

Functional Requirements...

Capacity Estimation for Stack Overflow

You can estimate the system capacity by analyzing certain data like traffic, number of questions asked, number of answers posted, etc. By analyzing whole data we can further calculate the required storage capacity for whole year. Here is the simplified calculation given:...

Use Case Diagram for Stack Overflow

Illustrate interactions among actors (users, moderators) and the machine....

Low-Level Design (LLD) for Stack Overflow

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High-Level Design (HLD) for Stack Overflow:

High-Level Design presents an outline of the complete system, define its all the major components . It would not go into the nitty-gritty information but focuses on the relationships between different-different modules. Here’s a simplified HLD for Stack Overflow:...

Database Design for Stack Overflow

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Scalability for Stack Overflow

Web Servers: In the web servers layer of Stack Overflow, scalability is achieved via horizontal scaling. Multiple instances of internet servers are deployed at the back of a load balancer, making sure even distribution of incoming site visitors. This approach permits the device to deal with a developing variety of concurrent user seamlessly. Additionally, the implementation of auto-scaling mechanisms permits dynamic changes to the wide variety of net server instances primarily based on demand, making sure optimal resource usage all through varying workloads. Application Servers: Scalability inside the application servers layer is facilitated with the aid of containerization technologies including Docker. These technology allow for the packaging and deployment of programs continuously across numerous environments, contributing to scalability and versatility. Auto-scaling mechanisms further enhance this accretion, allowing the system to adapt to changing demands effectively. The use of containerization ensures that programs run constantly, promoting a scalable and streamlined structure. Database Servers: Within the database servers layer, scalability is addressed through sharding and using read replicas. Sharding includes the horizontal partitioning of statistics throughout more than one database servers, preventing any single database from becoming a performance bottleneck. Read replicas are applied to deal with read-intensive operations, taking into consideration parallel processing of queries and decreasing the burden at the number one database server. These techniques together make contributions to the scalable storage and retrieval of data. Caching Layer: The caching layer is a vital thing for scalability in Stack Overflow. By enforcing a distributed caching system, which include Redis or Memcached, often accessed data is stored throughout more than one nodes. This method enhances horizontal scalability via distributing the cache load, improving response times, and lowering the pressure on the primary servers. Effective cache eviction strategies also are in region to manipulate reminiscence resources efficaciously, making sure optimum performance....

Microservices and API Used for Stack Overflow

The following technologies were employed in the development of Stack Overflow:...

API Code Implementation for Stack Overflow

User Registration API (POST):...

Conclusion

Designing a system like Stack Overflow requires careful consideration of various components and functionalities to make certain scalable and efficient model. By understanding this article you easily Design Stack Overflow....