Distributed caching

As explained in Building Distributed Applications that Work

Distributed caching stores frequently accessed data in a shared cache accessible across multiple servers or nodes.

Distributed caching stores frequently accessed data in a shared, high-performance data store available to multiple servers or applications. Keeping data in RAM can make reads faster than accessing disk; sharing the cache lets one application use data another has already populated. section 7.3

Figure 7.3 Multiple applications accessing the same distributed cache

Shows multiple applications accessing the same distributed cache, including data they did not populate themselves. section 7.3

How Building Distributed Applications that Work covers it

How deep it goes

Defines the shared-cache mechanism and explains RAM-based speed and cross-application access, without implementation steps.

Examples

Uses Redis and illustrates applications sharing data populated by another application.

What you can do after

Understand how applications can reuse data from a shared cache to improve performance.

How it connects

Connects distributed caching with Redis and distributed locking.

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Also explained in

• 

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  Building Web APIs with ASP.NET CoreDistributed caching is a caching technique that stores reusable data in shared storage so multiple application instances can access it.
• 

  liveBookmanning.com
  Pro ASP.NET Core 7, Tenth EditionDistributed caching is the technique of storing cache data in a cache shared by multiple application instances or servers.
• 

  liveBookmanning.com
  Advanced Algorithms and Data StructuresA distributed cache is a cache partitioned across multiple processes or nodes that coordinate request routing and data storage.

Compare how 4 books explain distributed caching →

Related concepts

• cachingkind of · Caching is the practice of storing reusable data or computation results so later access can avoid repeating retrieval or computation.
• Redisuses · Redis is an open-source, in-memory data-structure store that provides network-accessible data operations and supports persistence.
• Memcacheduses · Memcached is an open-source distributed in-memory key-value caching system for storing data that can be retrieved quickly.
• IDistributedCacheuses · IDistributedCache is a .NET interface that defines operations for storing and retrieving data through a distributed cache provider.
• dataset splituses · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.

This explainer was generated by Manning's knowledge graph from the text of Building Distributed Applications that Work. The section links point to the parts of the book it draws on.