Distributed Caching -I

Distributed caching is a technique for storing frequently accessed data in a cache that is distributed across multiple servers. By keeping frequently accessed data in a cache that is close to the application, distributed caching reduces the amount of time it takes for an application to access the data, improving application performance and scalability.

In this blog, we’ll explore the benefits of distributed caching and how it works.

Benefits of Distributed Caching

1. Improved Performance: Distributed caching reduces the amount of time it takes for an application to access frequently accessed data by keeping the data in a cache that is close to the application. This results in faster response times and improved application performance.
2. Increased Scalability: By distributing the cache across multiple servers, distributed caching allows applications to scale horizontally, adding more servers to the cache as needed to handle increased traffic.
3. Reduced Latency: Because the data is stored closer to the application, distributed caching reduces the amount of time it takes for the application to access the data, reducing latency.
4. Improved Availability: By distributing the cache across multiple servers, distributed caching provides a more fault-tolerant architecture, ensuring that the application can continue to access the data even if one or more servers fail.

How Distributed Caching Works

Distributed caching works by storing frequently accessed data in a cache that is distributed across multiple servers. When an application needs to access the data, it first checks the cache to see if the data is already stored there. If the data is in the cache, the application can access it quickly without having to go to the source system.

If the data is not in the cache, the application retrieves it from the source system and stores it in the cache for future access. This is known as caching the data. Once the data is in the cache, it can be accessed quickly by the application, reducing the amount of time it takes for the application to access the data.

Distributed caching systems use a variety of algorithms to determine which data should be stored in the cache and how long it should be stored. One popular algorithm is Least Recently Used (LRU), which removes the least recently used data from the cache to make room for new data.

Conclusion

Distributed caching is a powerful technique for improving application performance and scalability. By storing frequently accessed data in a cache that is distributed across multiple servers, distributed caching reduces latency, improves availability, and increases scalability. As the amount of data generated by modern applications continues to grow, distributed caching is becoming an increasingly important tool for developers looking to improve application performance and scalability.

Next: https://mighlaniharsh.medium.com/distributed-caching-continued-f40dafc13124