35 Video Performance Optimization in Actual Projects Reviewing Several Prs in 'Ingressnginx'

35 Video- Performance Optimization in Actual Projects - Reviewing Several PRs in ‘ingressnginx’ #

Hello, I am Wen Ming.

Today’s content will also be presented in the form of a video. As usual, before you start studying the video, let me ask you a few questions:

  • How do you identify potential performance issues in open source projects?
  • How do you effectively communicate with other developers on GitHub?

These questions are also the core content that will be addressed in today’s video course. I hope you can take some time to think about them and come to learn today’s video content with these questions in mind.

At the same time, I will provide corresponding textual explanations to help you summarize and review the content promptly after listening to the video. The following is the textual introduction for today’s lesson.

Today’s focus #

ingress-nginx is an official Kubernetes project that mainly uses Go, Nginx, and lua-nginx-module to handle incoming traffic.

In today’s video, I will explain clearly how to apply the knowledge we just learned about performance optimization to discover performance issues in open-source projects. It’s important to note that when contributing PRs to open-source projects, running test cases and actively communicating with project maintainers are crucial.

Here are two PRs related to performance in ingress-nginx:

From these PRs, you will also notice that even experienced developers may not be very familiar with LuaJIT optimization. On one hand, the code involved in these two PRs does not cause significant performance degradation to the overall system. On the other hand, there is no systematic summary of optimization knowledge in this area, making it difficult for developers to find directions for optimization even if they want to.

In fact, many times, unnecessary optimization, from the perspective of code readability and maintainability, is not essential. You only need to optimize the code snippets that are frequently executed. Over-optimization is the root of all evil.

So, after completing today’s lesson, will you be able to find similar performance optimization points in other open-source projects?

Courseware Reference #

Today’s courseware has been uploaded to my GitHub. You can download it and study on your own.

Link: https://github.com/iresty/geektime-slides

If there is anything unclear, feel free to ask questions in the comment section. You can also share your learning experience in the comment section. Look forward to having a conversation with you. Also, feel free to share this article with your colleagues and friends. Let’s communicate and progress together.