Introduction and Strategies to Handle Challenges In Caching

Introduction and Strategies to Handle Challenges In Caching

Introduction and Strategies to Handle Challenges In Caching. What caching is, how it works, and how you should think about it. What Is Caching? In the computing world, caching is the process of storing a subset of data in a highly accessible and high-speed layer called a cache.

What caching is, how it works, and how you should think about it.

What Is Caching?

In the computing world, caching is the process of storing a subset of data in a highly accessible and high-speed layer called a cache. It is done to access more frequent data quickly and to avoid any additional computation that was done to fetch and store previous data. Caching stores the data for a small duration of time and is a trade-off of capacity in favor of high speed.

The hardware beneath a caching layer is a fast-access material, such as RAM and in-memory engines, and is usually used along with a software layer to access the data.

Caching is largely divided into two types: a local cache and a remote cache. A local cache uses the JVM heap for storage, and a remote (or cluster) cache uses in-memory stores such as  Redis or Memcached.

What is on-heap local caching?

On-heap caching refers to storing data in a Java heap, where it’s managed automatically by garbage collectors (GC).

microservices programming caching

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