Using Playwright in a Kubernetes Environment

Using Playwright in a Kubernetes Environment

Playwright is a powerful end-to-end testing framework for web applications. Running Playwright in a Kubernetes environment enables you to scale tests, automate CI/CD pipelines, and isolate test runs across environments.


✅ Why Use Playwright in Kubernetes?

Run tests at scale across pods/nodes


Automate browser testing in CI/CD pipelines


Ensure environment consistency using containers


Integrate with tools like Jenkins, GitLab CI, GitHub Actions, etc.


🛠️ Prerequisites

Kubernetes cluster (e.g., Minikube, EKS, GKE, AKS)


Docker


kubectl CLI access


Basic knowledge of Playwright and containers


📦 Step-by-Step Guide

1. Create a Dockerfile for Playwright

Dockerfile

Copy

Edit

# Use official Playwright image

FROM mcr.microsoft.com/playwright:focal


# Set working directory

WORKDIR /app


# Copy project files

COPY . .


# Install dependencies

RUN npm ci


# Run Playwright to install browsers

RUN npx playwright install


# Default command

CMD ["npx", "playwright", "test"]

This image includes Chromium, Firefox, and WebKit with necessary dependencies for headless execution.


2. Build and Push the Docker Image

bash

Copy

Edit

docker build -t your-dockerhub-username/playwright-tests .

docker push your-dockerhub-username/playwright-tests

3. Create a Kubernetes Deployment YAML

yaml

Copy

Edit

apiVersion: apps/v1

kind: Deployment

metadata:

  name: playwright-tests

spec:

  replicas: 1

  selector:

    matchLabels:

      app: playwright

  template:

    metadata:

      labels:

        app: playwright

    spec:

      containers:

        - name: playwright

          image: your-dockerhub-username/playwright-tests

          resources:

            limits:

              memory: "1Gi"

              cpu: "500m"

You can increase replicas to run parallel tests or implement a job instead of a deployment if it's for one-time runs.


4. Apply the Deployment

bash

Copy

Edit

kubectl apply -f playwright-deployment.yaml

Check pod status:


bash

Copy

Edit

kubectl get pods

View logs:


bash

Copy

Edit

kubectl logs <pod-name>

5. Optional: Use Kubernetes Jobs for One-Time Test Runs

If you want to run Playwright as a one-time CI task, use a Job instead of a Deployment:


yaml

Copy

Edit

apiVersion: batch/v1

kind: Job

metadata:

  name: playwright-job

spec:

  template:

    spec:

      containers:

      - name: playwright

        image: your-dockerhub-username/playwright-tests

      restartPolicy: Never

  backoffLimit: 3

🌐 Running Tests with Browser GUI (Non-headless)

For debugging or local testing, ensure your cluster supports GUI rendering (e.g., Xvfb or VNC inside the container), or run tests in headless mode, which is standard for CI/CD.


🔐 Best Practices

Use ConfigMaps or Secrets to manage environment variables or credentials.


Mount PersistentVolume to store test reports/artifacts.


Integrate with Allure, JUnit, or other reporters.


Set up Horizontal Pod Autoscaler if running in parallel at scale.


🧪 Sample Use Case

E2E browser tests run nightly in Kubernetes


Parallel test pods validate across Chrome, Firefox, WebKit


Reports are saved to S3 or artifact storage


Integrated with GitHub Actions pipeline


🚀 Final Thoughts

Running Playwright in Kubernetes brings the power of containerization to browser testing. It’s scalable, reproducible, and perfect for modern DevOps workflows. With the right setup, you can automate reliable browser tests at any scale.

Learn Playwright Training Course in Hyderabad

Read More

Using Playwright with AWS Lambda

Running Playwright Tests on BrowserStack

Visit Our IHUB Talent Training Institute in Hyderabad

Get Directions

Comments

Post a Comment

Popular posts from this blog

How to Install and Set Up Selenium in Python (Step-by-Step)

 Here’s your step-by-step guide to installing and setting up Selenium in Python — perfect if you're just getting started with browser automation. 🚀 🐍 Step 1: Install Python If you haven’t already: Download Python: https://www.python.org/downloads/ Make sure to check the box "Add Python to PATH" during installation Verify installation: bash Copy Edit python --version pip --version 📦 Step 2: Install Selenium Library Open your terminal or command prompt and run: bash Copy Edit pip install selenium To verify: bash Copy Edit pip show selenium 🌐 Step 3: Download WebDriver for Your Browser Depending on what browser you want to automate: 🔹 Chrome: Download ChromeDriver: ➡️ https://sites.google.com/chromium.org/driver/ Make sure the driver version matches your installed Chrome version. 🔹 Firefox: Download GeckoDriver: ➡️ https://github.com/mozilla/geckodriver/releases Unzip and place the executable somewhere on your system, like: Windows: C:\WebDrivers\ Mac/Linux: /usr/local...
Read more

Feeling Stuck in Manual Testing? Here’s Why You Should Learn Automation Testing

Feeling Stuck in Manual Testing? Here’s Why You Should Learn Automation Testing Are you feeling like your manual testing career is hitting a ceiling? You’re not alone. Many QA professionals start their careers in manual testing but soon realize the need to level up. If you’re wondering what’s next, automation testing might just be the breakthrough you need. Why Manual Testing Isn’t Enough Anymore Manual testing is essential, especially in exploratory, usability, and ad-hoc testing scenarios. But as applications grow more complex and development cycles become shorter, manual testing can’t keep up. Companies are looking for faster, more efficient testing methods—and that’s where automation comes in. Here are a few signs that you're stuck in manual testing: Repeating the same test cases for every build Working on tight deadlines with limited test coverage Seeing peers move ahead with automation skills Lack of growth in responsibilities or pay scale If any of this sounds familiar, it...
Read more

A Beginner's Guide to ETL Testing: What You Need to Know

A Beginner's Guide to ETL Testing: What You Need to Know Introduction: Understanding the Importance of ETL Testing Have you ever wondered how data gets from one place to another in a way that is both reliable and accurate? What happens when that data is transferred and transformed between systems? The answer lies in the ETL (Extract, Transform, Load) process, a crucial part of data management in many industries. But, how do we ensure that data is being handled correctly in this intricate process? Enter ETL testing. ETL testing is vital for ensuring that your data pipeline is working as expected. But as a beginner, where do you start? What should you focus on? This guide will answer these questions and more, helping you build a solid foundation for mastering ETL testing. Whether you're a data engineer, quality assurance professional, or anyone working with data, this article will provide insights into how ETL testing works, why it's important, and the best practices you need...
Read more