How Caching API Reduces Server load?

Caching APIs reduces server load in system design through several mechanisms:

• Serving Repeat Requests from Cache: When a request for data that has already been cached is received, the system serves this data directly from the cache rather than querying the backend database or processing the request again. This significantly reduces the number of operations the server needs to perform.
• Decreasing Database Queries: Databases are often a bottleneck in system performance due to the complexity and time required to execute queries. By caching query results, the number of queries that the database needs to handle is reduced, freeing up resources and improving performance.
• Reducing Computational Work: Complex calculations or data processing tasks can be offloaded to the cache. Once the result of a computation is cached, the server does not need to repeat the same computation for subsequent requests, thus reducing CPU and memory usage.
• Handling Spikes in Traffic: During high traffic periods, the cache can handle most of the requests, preventing the server from being overwhelmed by too many simultaneous connections. This is especially useful for handling unexpected spikes in demand without degrading performance.
• Efficient Use of Resources: With fewer requests to handle, the server can allocate more resources to other tasks, such as handling new types of requests, performing maintenance operations, or serving dynamic content that cannot be cached.
• Enhanced System Stability and Reliability: By reducing the load on servers, caching helps maintain system stability and reliability, even under heavy load. This ensures a consistent and reliable performance which is crucial for user satisfaction and operational integrity.

The article explains how to improve the performance and efficiency of APIs using caching. Caching is a technique where frequently accessed data is stored temporarily to reduce the time and resources needed for future requests. The article discusses different methods and strategies for implementing caching in APIs, highlighting the benefits and best practices. By using caching, systems can handle more traffic, respond faster, and reduce the load on servers, making them more scalable and reliable.