From 6c3613a4bdd3870da74399d888f94dcb8b966181 Mon Sep 17 00:00:00 2001 From: Harsha Date: Thu, 14 Nov 2024 14:37:37 -0800 Subject: [PATCH] Feat: Benchmark details and new graph --- README.md | 17 +++++++++++++---- images/http_req_per_sec_vs_worker_threads.png | Bin 160278 -> 179691 bytes images/http_tp99_latency_vs_body_size.png | Bin 185035 -> 0 bytes .../http_tp99_latency_vs_worker_threads.png | Bin 204957 -> 0 bytes images/https_tp99_latency_vs_body_size.png | Bin 198900 -> 0 bytes .../https_tp99_latency_vs_worker_threads.png | Bin 201368 -> 0 bytes 6 files changed, 13 insertions(+), 4 deletions(-) delete mode 100644 images/http_tp99_latency_vs_body_size.png delete mode 100644 images/http_tp99_latency_vs_worker_threads.png delete mode 100644 images/https_tp99_latency_vs_body_size.png delete mode 100644 images/https_tp99_latency_vs_worker_threads.png diff --git a/README.md b/README.md index 9604bfb..05905ec 100644 --- a/README.md +++ b/README.md @@ -15,10 +15,10 @@ While the most widely used Rust async runtime is [Tokio](https://docs.rs/tokio/l By building Monolake on this novel runtime foundation, the team was able to incorporate new first-class support for io_uring throughout the ecosystem. This includes io_uring specific IO traits and a unique service architecture that differs from the popular Tower implementation. Monolake also includes io_uring optimized implementations for Thrift and HTTP. -The Monolake team has used this framework to build a variety of high-performance network components, including: -- HTTP and Thrift proxy -- Application gateways (HTTP-to-Thrift) -- gRPC proxy +The Monolake framework has been used to build various high-performance proxies and gateways, and it is **actively deployed in production at [ByteDance](https://www.bytedance.com/)**. Its use cases are wide-ranging and include: + +- Application Gateways: For protocol conversion, such as HTTP to Thrift +- Security Gateways: Providing pseudonymization for gRPC and Thrift RPCs ## Monolake Proxy @@ -42,6 +42,15 @@ The Monolake team has used this framework to build a variety of high-performance ## Performance +### Test environment + +AWS instance: c6a.8xlarge +CPU: AMD EPYC 7R13 Processo, 16 cores, 32 threads +Memory: 64GB +OS: 6.1.94-99.176.amzn2023.x86_64 AWS Linux +Nginx: 1.24.0 +rustc: 1.82.0-nightly +

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