Load Testing & Performance Benchmarking (JMeter & k6) · 课时

结合云端与 Kubernetes 使用 k6

学习使用 Docker 和 Kubernetes 将 k6 测试容器化并编排，实现可扩展执行

结合云端与 Kubernetes 使用 k6 是 CoddyKit 上的免费 Load Testing & Performance Benchmarking (JMeter & k6) 课时。这是第 3 节课，共 4 节。你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。这是 Load Testing & Performance Benchmarking (JMeter & k6) 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Load Testing & Performance Benchmarking (JMeter & k6) 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

Scaling k6 for Big Loads

When performance testing, especially for high-traffic applications, a single machine might not generate enough load. This is where distributed load testing comes in!

Instead of running k6 on your local machine, you'll want to distribute your test across multiple machines or leverage cloud infrastructure to simulate massive user loads.

The Power of Containers

Containers, like those created with Docker, provide a consistent and isolated environment for your applications and tests.

Isolation: Your k6 test runs in its own environment, free from host system conflicts.
Portability: A containerized k6 test runs the same way everywhere – on your laptop, a server, or in the cloud.
Scalability: Easily spin up multiple identical k6 test instances.

Your k6 Dockerfile

A Dockerfile is a script that contains instructions for building a Docker image. For k6, it typically involves installing k6 and adding your test script.

Here's a simple Dockerfile to containerize a k6 test:

FROM grafana/k6
COPY script.js /opt/k6/script.js
ENTRYPOINT ["k6", "run", "/opt/k6/script.js"]

Dockerizing a k6 Script

Before building our Docker image, let's create a simple k6 test script. This script will be copied into our Docker image.

Try running this basic k6 script locally:

import http from 'k6/http';
import { sleep } from 'k6';

export default function () {
  http.get('https://test.k6.io');
  sleep(1);
}

Building the k6 Docker Image

Once you have your Dockerfile and script.js (from the previous scene) in the same directory, you can build your Docker image.

Open your terminal in that directory and run:

docker build -t my-k6-test .

This command builds an image tagged my-k6-test using the current directory's Dockerfile.

Running k6 in Docker

After building the image, you can run your k6 test inside a Docker container. This executes the ENTRYPOINT command defined in your Dockerfile.

To run your containerized k6 test:

docker run my-k6-test

You'll see the k6 test output directly in your terminal, just as if you ran it locally!

Orchestrating with Kubernetes

While Docker helps you package k6, Kubernetes (K8s) helps you manage and orchestrate multiple Docker containers at scale.

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It's perfect for running many k6 instances simultaneously!

k6 in a K8s Pod

The smallest deployable unit in Kubernetes is a Pod. A Pod can contain one or more containers. Here's how you might define a Pod for a k6 test:

apiVersion: v1
kind: Pod
metadata:
  name: k6-test-pod
spec:
  containers:
  - name: k6-container
    image: my-k6-test
    imagePullPolicy: Never # Use if image is local
  restartPolicy: Never

K8s Jobs for k6 Tests

For performance tests, you often want a container that runs a task to completion and then stops. A Kubernetes Job is ideal for this.

A Job creates one or more Pods and ensures that a specified number of them successfully terminate. Once the k6 test finishes, the Job records its completion.

apiVersion: batch/v1
kind: Job
metadata:
  name: k6-load-test-job
spec:
  template:
    spec:
      containers:
      - name: k6-container
        image: my-k6-test
        imagePullPolicy: Never # Use if image is local
      restartPolicy: Never
  backoffLimit: 4

Check Your Understanding

Why is containerizing k6 tests with Docker and orchestrating them with Kubernetes beneficial for large-scale performance testing?

Summary: Scalable k6

Great job! You've learned how to leverage Docker and Kubernetes to take your k6 performance tests to the next level.

Docker packages k6 tests into portable, isolated containers.
Kubernetes orchestrates these containers, allowing you to run distributed tests at massive scale using Pods and Jobs.

This approach is crucial for simulating realistic load on modern applications and infrastructure!

常见问题解答

「结合云端与 Kubernetes 使用 k6」课时是免费的吗？

是的 — 「结合云端与 Kubernetes 使用 k6」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Load Testing & Performance Benchmarking (JMeter & k6) 课程的其余内容，请升级到 CoddyKit PRO。 Load Testing & Performance Benchmarking (JMeter & k6) 课程共包含 4 节课。

「结合云端与 Kubernetes 使用 k6」这节课中我会学到什么？

学习使用 Docker 和 Kubernetes 将 k6 测试容器化并编排，实现可扩展执行你通过在浏览器中直接运行的动手代码来练习 Load Testing & Performance Benchmarking (JMeter & k6)，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Load Testing & Performance Benchmarking (JMeter & k6) 需要有经验吗？

无需任何先前经验。CoddyKit 上的 Load Testing & Performance Benchmarking (JMeter & k6) 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。这是第 3 节课，共 4 节。

「结合云端与 Kubernetes 使用 k6」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

我能在这节 Load Testing & Performance Benchmarking (JMeter & k6) 课中编写并运行代码吗？

能。每节 Load Testing & Performance Benchmarking (JMeter & k6) 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。

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