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Posted to notifications@apisix.apache.org by ju...@apache.org on 2022/06/09 01:43:05 UTC
[apisix-website] branch master updated: docs: update AWS Graviton3 Blog URL and details (#1142)

This is an automated email from the ASF dual-hosted git repository.

juzhiyuan pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/apisix-website.git


The following commit(s) were added to refs/heads/master by this push:
     new 4a904afe06c docs: update AWS Graviton3 Blog URL and details (#1142)
4a904afe06c is described below

commit 4a904afe06cc02c9454679fceb309e816857d618
Author: Sylvia <39...@users.noreply.github.com>
AuthorDate: Thu Jun 9 09:43:00 2022 +0800

    docs: update AWS Graviton3 Blog URL and details (#1142)
---
 ...-performance-test-of-apigateway-apisix-on-aws-graviton3.md} | 10 +++++-----
 ...-performance-test-of-apigateway-apisix-on-aws-graviton3.md} |  6 +++---
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/blog/2022/06/07/apisix-on-graviton3-performance.md b/website/blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
similarity index 84%
rename from website/blog/2022/06/07/apisix-on-graviton3-performance.md
rename to website/blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
index fb24c0ae02f..489ccb7a69e 100644
--- a/website/blog/2022/06/07/apisix-on-graviton3-performance.md
+++ b/website/blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
@@ -27,9 +27,9 @@ tags: [Technology]
 
 AWS released the latest ARM-based AWS Graviton family of processors at the end of May 2022 - [AWS Graviton3](https://aws.amazon.com/cn/blogs/aws/new-amazon-ec2-c7g-instances-powered-by-aws-graviton3-processors/). According to AWS official data, compared with Graviton2 processor, based on leading DDR5 memory technology, Graviton3 processor can provide up to 25% performance improvement, up to 2x floating point performance and 50% faster memory access speed; Graviton3 also uses 60% less ene [...]
 
-So what about the actual data? Let's take a CPU-intensive API Gateway as an example to see how AWS Graviton3 performs. Here we use Apache APISIX to perform performance comparison tests on AWS Graviton2 (C6g) and AWS Graviton3 (C7g) server environments.
+So what about the actual data? Let's take a network IO dense API Gateway as an example to see how AWS Graviton3 performs. Here we use Apache APISIX to perform performance comparison tests on AWS Graviton2 (C6g) and AWS Graviton3 (C7g) server environments.
 
-[Apache APISIX](https://github.com/apache/apisix) is a cloud-native, high-performance, scalable API gateway. Based on NGNIX+Lua JIT and etcd, compared with traditional API gateways, APISIX has dynamic routing and plug-in hot loading features, which is especially suitable for API management under cloud native architecture.
+[Apache APISIX](https://github.com/apache/apisix) is a cloud-native, high-performance, scalable API gateway. Based on NGNIX+LuaJIT and etcd, compared with traditional API gateways, APISIX has dynamic routing and plug-in hot loading features, which is especially suitable for API management under cloud native architecture.
 
 ![Apache APISIX](https://user-images.githubusercontent.com/39793568/172329936-774992c0-070b-48d0-be8b-33abbd6a4f78.png)
 
@@ -120,7 +120,7 @@ curl http://127.0.0.1:9080/apisix/admin/routes/1 -H 'X-API-KEY: edd1c9f034335f13
 
 ### Scenario 2: Single upstream + Two plugins
 
-Using a single upstream, two plugins. It mainly tests the performance of APISIX when the two core performance-consuming plugins, limit-count and prometheus, are enabled.
+Using a single upstream, two plugins. It mainly tests the performance of APISIX when the two core performance-consuming plugins, `limit-count` and `prometheus`, are enabled.
 
 ```shell
 # apisix: 1 worker + 1 upstream + 2 plugins (limit-count + prometheus)
@@ -188,8 +188,8 @@ In the above two scenarios, related testing and comparison were performed from t
     </tr>
     </table>
 
-It can also be seen from the above data that in a CPU-intensive computing scenario such as API Gateway, AWS Graviton3 improves the performance by 76% compared to AWS Graviton2, while reducing latency by 38%. This data is even better than the official data given by AWS mentioned at the beginning (25% performance improvement).
+It can also be seen from the above data that in a network IO dense computing scenario such as API Gateway, AWS Graviton3 improves the performance by 76% compared to AWS Graviton2, while reducing latency by 38%. This data is even better than the official data given by AWS mentioned at the beginning (25% performance improvement).
 
 ## Summarize
 
-This article mainly uses Apache APISIX to compare the performance of AWS Graviton3 and AWS Graviton2. It can be seen that in the CPU-intensive computing scenario of API gateway, AWS Graviton3 can be said to show the properties of a performance monster. Of course, it is also recommended that you practice a lot, and look forward to more test data for computing-intensive projects in the future.
+This article mainly uses Apache APISIX to compare the performance of AWS Graviton3 and AWS Graviton2. It can be seen that in the network IO dense computing scenario of API gateway, AWS Graviton3 can be said to show the properties of a performance monster. Of course, it is also recommended that you practice a lot, and look forward to more test data for computing-intensive projects in the future.
diff --git a/website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/apisix-on-graviton3-performance.md b/website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
similarity index 88%
rename from website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/apisix-on-graviton3-performance.md
rename to website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
index c7dfc00f83e..297f7084a93 100644
--- a/website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/apisix-on-graviton3-performance.md
+++ b/website/i18n/zh/docusaurus-plugin-content-blog/2022/06/07/installation-performance-test-of-apigateway-apisix-on-aws-graviton3.md
@@ -27,7 +27,7 @@ tags: [Technology]
 
 AWS 在 2022 年 5 月底发布了最新的基于 ARM 架构的 AWS Graviton 系列处理器——[AWS Graviton3](https://aws.amazon.com/cn/blogs/aws/new-amazon-ec2-c7g-instances-powered-by-aws-graviton3-processors/)。据 AWS 官方数据显示，与 Graviton2 处理器相比，基于领先的 DDR5 内存技术，Graviton3 处理器可提供高达 25% 的性能提升、高达 2 倍的浮点性能以及 50% 的内存访问速度；在性能与同类 EC2 实例相同的情况下，Graviton3 还可减少 60% 的能源。
 
-那么实际数据会怎样呢？让我们以 CPU 密集型的 API 网关为例，来看看 AWS Graviton3 的表现如何。在这里我们使用 Apache APISIX 在 AWS Graviton2（C6g）和 AWS Graviton3（C7g） 两种服务器环境下进行性能对比测试。
+那么实际数据会怎样呢？让我们以网络 IO 密集型的 API 网关为例，来看看 AWS Graviton3 的表现如何。在这里我们使用 Apache APISIX 在 AWS Graviton2（C6g）和 AWS Graviton3（C7g） 两种服务器环境下进行性能对比测试。
 
 [Apache APISIX](https://github.com/apache/apisix) 是一个云原生、高性能、可扩展的 API 网关。基于 NGNIX+LuaJIT 和 etcd 来实现，和传统 API 网关相比，APISIX 具备动态路由和插件热加载的特点，特别适合云原生架构下的 API 管理。
 
@@ -190,8 +190,8 @@ curl http://127.0.0.1:9080/apisix/admin/routes/1 \
     </tr>
     </table>
 
-从上方数据可以看到，在 API 网关这样 CPU 密集型的计算场景下，AWS Graviton3 比 AWS Graviton2 的性能提升了 76%，同时延迟还降低了 38%。这个数据比开头提到的 AWS 官方给出的数据（25%性能提升）还要优异。
+从上方数据可以看到，在 API 网关这样网络 IO 密集型的计算场景下，AWS Graviton3 比 AWS Graviton2 的性能提升了 76%，同时延迟还降低了 38%。这个数据比开头提到的 AWS 官方给出的数据（25%性能提升）还要优异。
 
 ## 总结
 
-本文主要通过使用 Apache APISIX 进行了 AWS Graviton3 与 AWS Graviton2 的性能对比，可以看到在 API 网关 CPU 密集型的计算场景下，AWS Graviton3 可谓展示了性能怪兽的属性。当然，也推荐大家多多进行实践，期待后续更多计算密集型项目的测试数据。
+本文主要通过使用 Apache APISIX 进行了 AWS Graviton3 与 AWS Graviton2 的性能对比，可以看到在 API 网关这种网络 IO 密集型的计算场景下，AWS Graviton3 可谓展示了性能怪兽的属性。当然，也推荐大家多多进行实践，期待后续更多计算密集型项目的测试数据。