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The sawtooth pattern has also disappeared. NET 5 is now just 330 B, a decrease of 92%. And finally dotnet/aspnetcore#19732 saves a string allocation by special casing content-length of 0. dotnet/aspnetcore#22557 avoids allocating a Task if a task is already complete. dotnet/aspnetcore#19277 and dotnet/aspnetcore#19325 eliminate some unintended allocations related to logging. dotnet/aspnetcore#19273 replaces an array allocation with stackalloc when validating the HTTP request path. A resettable ManualResetValueTaskSourceCore type replaces allocating a new object each time flow control is triggered. dotnet/aspnetcore#19783 removes allocations in Kestrel’s HTTP/2 flow control. There are many smaller allocation savings. dotnet/aspnetcore#24767 removes streams from the pool if they haven’t been used by a HTTP request in the last 5 seconds.

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  • While pooling is great when a server is under load, we want to free up memory that is no longer used.
  • dotnet/aspnetcore#19695 and dotnet/aspnetcore#19629 reuses some smaller per-request objects.
  • String allocations use the third most bytes. Related to header reuse, dotnet/aspnetcore#19457 adds HTTP/2 pseudo headers as known headers.
  • dotnet/aspnetcore#19431 reuses known header string values.
  • Pipe is the single biggest contributor to allocations.
  • dotnet/aspnetcore#19356 reuses input and output Pipe instances.
  • Once streams are pooled a range of optimizations become available:

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    It enables reuse of internal types like Http2Stream, and publicly accessible types like HttpContext and HttpRequest, across multiple requests. This one change almost cuts allocations per request in half. Lets try to get that number down!ĭotnet/aspnetcore#18601 adds pooling of streams in a HTTP/2 connection. About 3.9KB is being allocated per request. The live object graph’s sawtooth shaped pattern indicates memory building up, then being garbage collected. The performance profiler above is measuring allocations over 100,000 gRPC requests. And CPU time “wasted” in GC is CPU time not spent serving HTTP/2 requests. Fewer allocations per HTTP/2 request means less time doing garbage collection (GC). Reducing allocations is a good place to start. However, there are many HTTP/2 specific optimizations that were made in. Kestrel is a top contender in the TechEmpower benchmarks, and gRPC benefits from a lot of the performance improvements in Kestrel automatically. Our gRPC server builds on top of Kestrel, a HTTP server written in C# that is designed with performance in mind. A fast HTTP/2 implementation is the most important factor when it comes to performance. GRPC uses HTTP/2 as its underlying protocol. In the rest of this blog post I’ll talk about the improvements we made to make gRPC fast in ASP.NET Core. Check it out to read about improvements in HttpClient and HTTP/2. Stephen Toub discusses dotnet/runtime changes in his Performance Improvements in. NET Core 3.1.NET 5 client performance is 230% faster than. NET 5 server performance is 60% faster than. This result builds on top of the work done in. NET gets the highest requests per second after Rust, and is just ahead of C++ and Go. In a community run benchmark of different gRPC server implementations. NET release, we focused on gRPC’s core features, compatibility, and stability. NET makes gRPC a first-class member of the. Built on top of Kestrel and HttpClient, gRPC for.

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    Last year Microsoft contributed a new implementation of gRPC for. The most exciting to me, and consistently mentioned by developers who are interested in gRPC, is performance.

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    There are many exciting features in gRPC: real-time streaming, end-to-end code generation, and great cross-platform support to name a few. GRPC is a modern open source remote procedure call framework.















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