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Workload Briefs for Ampere Computing

NGINX on AmpereOne Workload Brief

Compelling Performance and Energy Efficiency for Cloud Native Applications.

Overview

NGINX is an open source, high performance HTTP server and reverse proxy with many other web service-related features bundled. It is often used as load balancer in the cloud. NGINX implements an event-driven architecture to handle incoming requests. It is built to offer a low memory footprint and high concurrency. NGINX is the most popular web server among high-traffic websites as of 2024, according to W3Techs.

Results and Key Findings

As can be seen in figure 1, up to 28% performance improvement was observed with the AmpereOne® A192-32X processor compared to the AMD EPYC 9654, and 8% compared to the AMD EPYC 9754, all under a 95th percentile latency Service Level Agreement (SLA) of 10 milliseconds.

Fig.1: NGINX Throughput (Higher is Better)

Figure 2 shows the energy efficiency of the three processors running NGINX. The AmpereOne® A192-32X had a 39% better performance/Watt compared to the AMD EPYC 9654, and 17% better than the AMD EPYC 9754.

Fig.2: NGINX Performance/Watt (Higher is Better)
Test Methodology

The popular open-source http benchmarking tool, wrk (v4.10), was used as the load generator. Wrk running on the client system generated requests over HTTPS connections to the NGINX daemon running on the system under test (SUT). The test was configured to run with multiple threads and connections and the same client system was used as load generator across all the platforms.

On the server side, NGINX version 1.15.4 was configured to serve a 50 KB static HTML file over HTTPS using the Brotli algorithm for compression (quality 5). Server-side LuaJIT was used to process the incoming request URL for regular expressions. NGINX was compiled with the HTTP SSL, openssl, brotli, and nginx-lua modules.

Wrk was configured to run with 96 clients and connections increasing from 100 to 500 in steps of 100 to observe the impact on throughput and p99 latency. Each test was run for 120 seconds and repeated three times, while recording the average throughput and p99 latencies. Minimal run-to-run variation in throughput and p99 latencies was observed.

Key Findings and Conclusions

For large-scale cloud deployments, performance/watt (energy efficiency) is an important metric in addition to performance. The AmpereOne® A192-32X Cloud Native Processors couple performance leadership with a significant performance/watt advantage as shown in this performance brief, resulting in up to 39% higher energy efficiency.

NGINX is one of the most popular web servers in the cloud today. It scales well with the compute resources that the AmpereOne® family of processors offers. The AmpereOne® A192-32X is designed to deliver exceptional performance and energy efficiency for cloud native applications.

Footnotes

All data and information contained herein is for informational purposes only and Ampere reserves the right to change it without notice. This document may contain technical inaccuracies, omissions and typographical errors, and Ampere is under no obligation to update or correct this information. Ampere makes no representations or warranties of any kind, including but not limited to express or implied guarantees of noninfringement, merchantability, or fitness for a particular purpose, and assumes no liability of any kind. All information is provided “AS IS.” This document is not an offer or a binding commitment by Ampere. Use of the products contemplated herein requires the subsequent negotiation and execution of a definitive agreement or is subject to Ampere’s Terms and Conditions for the Sale of Goods.

System configurations, components, software versions, and testing environments that differ from those used in Ampere’s tests may result in different measurements than those obtained by Ampere.

©2024 Ampere Computing. All Rights Reserved. Ampere, Ampere Computing, Altra and the ‘A’ logo are all registered trademarks or trademarks of Ampere Computing. Arm is a registered trademark of Arm Limited (or its subsidiaries). All other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

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Created At : January 23rd 2023, 11:17:41 pm
Last Updated At : December 19th 2024, 6:51:10 am
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