Using RyuJIT, the next generation JIT compiler for .NET

RyuJIT is the next generation Just-In-Time (JIT) compiler for .NET. It uses a high-performance JIT architecture, focused on high throughput JIT compilation. It is much faster than the existing JIT64 64-bit JIT that has been used for the last 10 years. Before the 32-bit JIT compiler was a lot faster than the 64-bit version making it sometimes better to compile and run your .NET application in 32-bit.

With the introduction of RyuJIT this gap is finally closed, making it easier to exclusively target 64-bit architectures or migrate workloads from 32- to 64-bit.

What should I do to enable RyuJIT?

The answer is simple; nothing Smile ! If you have .NET Framework 4.6 installed, RyuJIT will be enabled for all 64-bit processes running on top of it. Your app will run in a 64-bit process if it is compiled as 64-bit or AnyCPU (although not as Prefer 32-bit), and run on a 64-bit operating system. RyuJIT is similarly integrated into .NET Core, as the 64-bit JIT.

If your servers are 64-bit(they probably are), and your applications are still using 32-bit, it’s time to do some benchmarking and maybe make the switch to 64-bit all the way!

Here is a link to the first time RuyJIT was announced almost 4 years ago: https://blogs.msdn.microsoft.com/dotnet/2013/09/30/ryujit-the-next-generation-jit-compiler-for-net/

Podman– Command execution failed with exit code 125

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While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...

The art of simplicity

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