Popular Use Cases of Distributed Cache

There are many use cases for which an application developer may include a distributed cache as part of their architecture. These include:

  • Application acceleration:
    • Applications that rely on disk-based relational databases can’t always meet today’s increasingly demanding transaction performance requirements.
    • By storing the most frequently accessed data in a distributed cache, you can dramatically reduce the I/O bottleneck of disk-based systems.
    • This ensures your applications run much faster, even with a large number of transactions when usage spikes.
  • Storing web session data :
    • A site may store user session data in a cache to serve as inputs for shopping carts and recommendations.
    • With a distributed cache, you can have a large number of concurrent web sessions that can be accessed by any of the web application servers that are running the system.
    • This lets you load balance web traffic over several application servers and not lose session data should any application server fail.
  • Decreasing network usage/costs :
    • By caching data in multiple places in your network, including on the same computers as your application, you can reduce network traffic and leave more bandwidth available for other applications that depend on the network.
  • Reducing the impact of interruptions :
    • Depending on the architecture, a cache may be able to answer data requests even when the source database is unavailable. This adds another level of high availability to your system.
  • Extreme scaling :
    • Some applications request significant volumes of data. By leveraging more resources across multiple machines, a distributed cache can answer those requests.

What is a Distributed Cache?

Distributed caches are essential tools for improving the speed and reliability of applications in distributed computing environments. By storing frequently accessed data closer to where it’s needed and across multiple servers, distributed caches reduce latency and ease the load on backend systems. In this article, we’ll explore what distributed caches are, how they work, and why they’re crucial for modern applications.

Important Topics for Distributed Cache

  • What is a Distributed Cache?
  • Key components of Distributed Caching
  • Benefits of Distributed Cache
  • Popular Use Cases of Distributed Cache
  • Implementing Distributed Caching
  • Distributed Caching Challenges

Similar Reads

What is a Distributed Cache?

A distributed cache is a cache with data spread across multiple nodes in a cluster and multiple clusters across multiple data centers worldwide. A distributed cache is a system that pools together the random-access memory (RAM) of multiple networked computers into a single in-memory data store used as a data cache to provide fast access to data....

Key components of Distributed Caching

The key components of distributed Caching include:...

Benefits of Distributed Cache

These are some of the core benefits of using a distributed cache methodology :...

Popular Use Cases of Distributed Cache

There are many use cases for which an application developer may include a distributed cache as part of their architecture. These include:...

Implementing Distributed Caching

Setting up a distributed cache involves several steps, from choosing the right caching solution to configuring and deploying it in a distributed environment. Below is the general step-by-step guide:...

Distributed Caching Challenges

Although there are benefits, distributed caching poses certain challenges as well:...

Conclusion

Distributed cache is an essential component in modern web applications that can help improve application performance, scalability, and user experience. For example, it can reduce application latency, improve response times, and enable faster data access by storing frequently accessed data in memory....