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Apps and Services with .NET 8

You're reading from   Apps and Services with .NET 8 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637133
Length 798 pages
Edition 2nd Edition
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (19) Chapters Close

Preface 1. Introducing Apps and Services with .NET 2. Managing Relational Data Using SQL Server FREE CHAPTER 3. Building Entity Models for SQL Server Using EF Core 4. Managing NoSQL Data Using Azure Cosmos DB 5. Multitasking and Concurrency 6. Using Popular Third-Party Libraries 7. Handling Dates, Times, and Internationalization 8. Building and Securing Web Services Using Minimal APIs 9. Caching, Queuing, and Resilient Background Services 10. Building Serverless Nanoservices Using Azure Functions 11. Broadcasting Real-Time Communication Using SignalR 12. Combining Data Sources Using GraphQL 13. Building Efficient Microservices Using gRPC 14. Building Web User Interfaces Using ASP.NET Core 15. Building Web Components Using Blazor 16. Building Mobile and Desktop Apps Using .NET MAUI 17. Epilogue 18. Index

Caching with ASP.NET Core

Caching can enable our systems to copy some data from a remote data center to a local data center, or from a server or disk to memory. Caches store data as key-value pairs.

However, one of the hardest parts of caching is getting the balance right between storing enough data and keeping it fresh. The more data we copy, the more resources we use. And we need to consider how we will keep the copies synchronized with the original data.

General caching guidelines

Caching works best with data that costs a lot to generate and does not change often.

Follow these guidelines when caching:

  • Your code should never depend on cached data. It should always be able to get the data from the original source when the data is not found in the cache.
  • Wherever you cache data (in-memory or in a database) it is a limited resource, so deliberately limit the amount of data cached and for how long by implementing expirations and size limits. You should...
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