Excerpt from the book Rock Your Code: Code and App Performance for Microsoft .NET

When you’re driving enterprise-grade performance, every millisecond matters—and nothing slows an application down faster than unnecessary network calls. Yes, compressing payloads is great. Yes, optimizing API boundaries helps. But if you really want to obliterate latency, scalability issues, and unpredictable spikes, there is one tactic that consistently delivers knockout results:

Stop making the call at all.

After decades of reviewing production systems, tuning real-world apps, and helping teams diagnose the same recurring hotspots, the verdict is always the same:

Remote calls are the most expensive operation in your entire application.

HTTP requests. Database lookups. Microservice chatter. Enterprise APIs. If it crosses the wire, it costs you—sometimes massively.

That’s why one of my most repeated recommendations in conference talks, workshops, and code reviews is this:

Cache everything you reasonably can on the client.

Even a tiny cache window—five seconds, thirty seconds, a couple of minutes—can turn a sluggish app into a snappy, scalable, and resilient one. Every call avoided is performance gained.

But .NET, for all its strengths, still lacks a simple, lightweight, developer-friendly client-side caching utility. This gap is exactly why I built one into Spargine. The result: InMemoryCache, a flexible in-process caching system that supports both relative and absolute expiration, with a sensible default of 20 minutes.

And while upgrading Spargine for .NET 10, I doubled down—integrating caching into every expensive operation that could safely benefit from it. Reflection-heavy work, especially type inspection, received some of the largest gains. By caching these results inside helpers like TypeHelper, I removed mountains of unnecessary reflection churn and unlocked stunning speedups—some in the triple digits.

Client-side caching isn’t just a micro-optimization. It’s a strategic performance multiplier.

Using the InMemoryCache in Spargine

For example, to eliminate redundant reflection work, I integrated caching into high-traffic helpers like TypeHelper using InMemoryCache.

Here’s how I set it up:

private static readonly InMemoryCache _commonCache = InMemoryCache.Instance;

Example: Caching Interface Lookups

Below is a simplified example showing how caching is used to boost the performance of the ImplementsInterface() method:

public static bool ImplementsInterface(Type type, Type interfaceType)
{
    type = type.ArgumentNotNull();

    if (interfaceType == null || interfaceType.IsInterface == false)
    {
        return false;
    }

    var cacheKey = $"{type.FullName}.II.{interfaceType.FullName}";

    if (_commonCache.TryGetValue<bool>(cacheKey, out var cachedResult))
    {
        return cachedResult;
    }

    var result = type.GetInterfaces().Any(i => i == interfaceType);

    _commonCache.AddCacheItem(cacheKey, result, TimeSpan.FromMinutes(5));

    return result;
}

The method first checks whether a cached result exists. If it does, the method returns instantly. If not, the code performs the actual reflection work, stores the result for five minutes, and returns it. It’s a small amount of additional code with an enormous payoff.

Real-World Performance Wins

Many methods in Spargine now leverage caching, and the improvements speak for themselves:

• EnumHelper.GetDescription(): 56x faster
• TypeHelper.BuiltInTypeNames(): 167x faster
• TypeHelper.FindDerivedTypes(): 893x faster
• TypeHelper.GetAllAbstractMethods(): 8.19x faster
• TypeHelper.GetAllConstructors(): 1.06x faster
• TypeHelper.GetAllDeclaredFields(): 1.16x faster
• TypeHelper.GetAllDeclaredMethods(): 1.73x faster
• TypeHelper.GetAllFields(): 2x faster
• TypeHelper.GetAllMethods(): 3.77x faster
• TypeHelper.GetAllProperties(): 1.42x faster

These aren’t minor optimizations—they’re massive, high-octane improvements that eliminate thousands of redundant reflection calls.

A Word of Caution

Not every method benefits from caching. In several cases, I tested a change only to discover that modern .NET implementations were already heavily optimized internally. Adding caching on top of those built-in improvements made the code slower.

That’s why I cannot emphasize this enough: benchmark before and after every performance change. Trust the data. Your assumptions are not performance measurements.

Summary

This article highlights how eliminating redundant network calls is one of the most effective way to accelerate .NET applications. Client-side caching—especially lightweight, in-process caching—dramatically improves responsiveness, stability, and scalability. Spargine InMemoryCache provides a flexible solution for this purpose, allowing developers to easily cache expensive computations such as reflection-based type inspection. These changes deliver massive real-world gains, with several TypeHelper operations becoming dozens to hundreds of times faster. However, caching is not universally beneficial, and developers must always benchmark to confirm improvements.

The key takeaway: cache intelligently, measure everything, and let data—not assumptions—drive performance decisions.

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