Implement smarter caching in .NET to reduce latency and increase scale

Background

Caching is a proven technique to boost application performance by reducing repetitive computations or expensive data fetches. Dot net offers several caching strategies to accommodate various scalability needs:

• In-Memory Cache: Fast and simple. Stores data in memory on the current server. Ideal for single-instance applications.

• Distributed Cache: Uses external sources like Redis or SQL Server to share cache across multiple servers. Ideal for cloud-native and scalable architectures.

With .NET 9, Microsoft introduces HybridCache —a powerful caching solution that combines the speed of in-memory cache with the scalability of distributed cache. It's a game-changer for developers who want performance and consistency without reinventing the wheel.

Key Features

• Two-Level Caching: Combines memory speed with distributed reliability.

• Stampede Protection: Prevents multiple threads from hitting the source simultaneously when data is missing.

• Tag-Based Invalidation: Group cache entries by tags for easier bulk invalidation.

• Flexible Serialization: Supports JSON, XML, and other formats.

• Unified Expiration Control: Manage TTL and refresh policies centrally.

Advantages

• Blazing Performance – Quickly serve data like API responses and user profiles from in-memory (L1) cache.

• Reliable Fallback – If L1 cache is unavailable, fallback to distributed (L2) cache to avoid database hits.

• Auto Syncing – Ensures consistency between local and distributed cache layers across all instances.

• Unified Expiration Control – Centralized control over cache lifetimes and refresh policies.

• Manual & Tag-Based Invalidation – Invalidate cache manually or in bulk using tags.

• Caching API Responses – Reduce latency and load for frequently accessed endpoints.

• Caching Paginated Results – Improve performance of list views and pagination-heavy data.

• Caching User Profile Data – Minimize repeated DB access for user-specific data.

• Manual Cache Invalidation – Clear specific or grouped entries when data updates occur.

• Caching Aggregated Statistics – Speed up dashboard and analytics queries with precomputed data.

How to Add and Use HybridCache in a .NET App

These steps apply specifically to .NET 9 applications. HybridCache is part of Microsoft.Extensions.Caching.Hybrid namespace, and it integrates seamlessly into the dependency injection (DI) system used in .NET Core and .NET 9.

1. Install the NuGet Package

   Use the following command to install the HybridCache package:

   Note: HybridCache is currently available in .NET 9 Preview. Ensure your SDK is updated accordingly

2. Configure HybridCache in the Program.cs
   In your**Program.cs** or Startup.cs (depending on project type):

3. Using HybridCache in Your Code
   Once registered in DI, you can inject and use HybridCache in any service or controller:

   Here are key configuration options you can set globally:

   • MaximumPayloadBytes: The largest size allowed for any cached item (default is 1 MB). Items exceeding this size won’t be cached and will be logged.

   • MaximumKeyLength: The maximum length allowed for cache keys (default is 1024 characters). Keys longer than this won’t be stored and will be logged.

   (Optional) Add Redis as a Distributed Store
   If you want to back HybridCache with a distributed store like Redis, register it as follows:

   This step is optional because HybridCache can operate using only the in-memory cache if desired.

   After these steps, HybridCache is ready to be used in your application!

Implementation

• Dummy API (Simulated external data source)
  This simulates an API call to an external service. We’ll cache the results of this call using different strategies.

• In-Memory Cache Implementation
  We first check the in-memory ConcurrentDictionary. If not found, fetch from API and store in cache.

• Redis Cache Implementation
  We check Redis for the key. On miss, fetch from API and store back in Redis.

• Hybrid Cache Implementation
  This uses HybridCache to combine local memory + Redis under the hood. Fallback logic is handled by the library.

• Benchmark Result

  After running, here’s the performance comparison:

  

  Hybrid Cache Benchmark

Summary

• HybridCache combines L1 (in-memory) and L2 (distributed) caching for optimal performance and scalability.

• Reduces database stress with stampede protection.

• Easy to configure and integrates cleanly .

• Ideal for both monoliths and microservices.

• Delivers simplified caching with advanced features like tagging and serialization.

Related Reading: When it comes to speed and scalability in rate-limited environments, thread management often becomes a key aspect to be looked at - explore our Building Resilient C# Apps blog to know more about it.