Distributed caching
Distributed caching is a technique for storing reusable data in a cache shared across multiple networked processes, servers, or nodes.
Building Web APIs with ASP.NET Core
Distributed caching is a caching technique that stores reusable data in shared storage so multiple application instances can access it.
- How it is used
- Reduces repeated database work in a web API while sharing cached entries across application servers.
- How deep it goes
- Walks through SQL Server setup, cache helpers, controller use, and Redis substitution; leaves other SQL provider options unexplained.
- Examples
- Uses a cached, paginated mechanics GET request, SQL Server cache-table configuration, Redis registration, and a table-renaming exercise.
- What you can do after
- Apply it via IDistributedCache with a SQL Server or Redis provider to cache API query results across servers.
Read how Building Web APIs with ASP.NET Core explains distributed caching →
Pro ASP.NET Core 7, Tenth Edition
Distributed caching is the technique of storing cache data in a cache shared by multiple application instances or servers.
- How it is used
- Uses a shared SQL Server cache for application data and a distributed-cache element for rendered content across application servers.
- How deep it goes
- Walks through database, table, package, connection-string, and service setup; describes content-tag behavior without a distributed-content test.
- Examples
- Shows a SQL cache table and Program.cs registration, then contrasts cached and uncached Razor timestamps on page reload.
- What you can do after
- Operate/configure it by backing an ASP.NET Core cache with SQL Server and selecting distributed-cache for shared rendered content.
Read how Pro ASP.NET Core 7, Tenth Edition explains distributed caching →
Advanced Algorithms and Data Structures
A distributed cache is a cache partitioned across multiple processes or nodes that coordinate request routing and data storage.
- How it is used
- Scales caching across processes or nodes when one cache cannot hold or serve the required workload.
- How deep it goes
- Explains nodes, routing, consistent hashing, and limited remapping, but stops short of cache implementation details.
- Examples
- Uses database results, billion social-media walls, high request rates, and a consistent-hashing node-ring figure.
- What you can do after
- Evaluate distributed-cache layouts and understand how consistent hashing limits reassignment during node changes.
Read how Advanced Algorithms and Data Structures explains distributed caching →
Building Distributed Applications that Work
Distributed caching stores frequently accessed data in a shared cache accessible across multiple servers or nodes.
- How it is used
- Improves application performance and scalability by sharing frequently accessed data across servers or nodes.
- 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.
Read how Building Distributed Applications that Work explains 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.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.