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Avinash Bendigeri Avinash is a developer-turned Technical writer skilled in core content creation. He has an excellent track record of blogging in areas like Docker, Kubernetes, IoT and AI.

Choosing the Perfect Kubernetes Playground: A Comparison of PWD, Killercoda, and Other Options

4 min read

Kubernetes is a powerful container orchestration platform, but its complexity can be daunting for beginners. Luckily, several online playgrounds offer a safe and sandboxed environment to experiment and learn without the risk of breaking your production environment. But with so many options available, which Kubernetes playground is right for you?

This blog post will compare three popular playgrounds: PWD, Killercoda, and other available options. We’ll explore their features, strengths, weaknesses, and suitability for different learning styles and skill levels.

PWD (Play with Kubernetes):

Play with Kubernetes is a labs site provided by Docker and created by Tutorius. Play with Kubernetes is a playground which allows users to run K8s clusters in a matter of seconds. It gives the experience of having a free Alpine Linux Virtual Machine in browser. Under the hood Docker-in-Docker (DinD) is used to give the effect of multiple VMs/PCs.

Play with Kubernetes is a web-based platform that provides a free and accessible environment to experiment with Kubernetes. It removes the need for local installation or configuration, allowing you to dive right into practical exercises and learn through exploration.

Benefits of Play with Kubernetes:

  • Instant Kubernetes Clusters: Launch your own Kubernetes cluster within seconds, eliminating the need for lengthy setup processes.
  • Free and Accessible: Anyone with a web browser can access the platform, making it ideal for individual learning or collaborative workshops.
  • Interactive and Hands-on: Experiment with various Kubernetes features through guided tutorials and challenges, gaining practical experience with real-world scenarios.
  • Sandbox Environment: Learn without the fear of breaking your production environment, as the playground isolates your experiments and resources.
  • Variety of Labs: Choose from a range of pre-configured labs covering different Kubernetes concepts and configurations, catering to your specific learning needs.

Under the Hood:

Play with Kubernetes leverages Docker-in-Docker (DinD) technology to create a virtualized environment within your browser. This powerful technique allows the platform to simulate multiple virtual machines, giving you the experience of working with a full-fledged Kubernetes cluster.

Who Should Use Play with Kubernetes?

Whether you’re a complete beginner curious about Kubernetes or a seasoned developer seeking to refine your skills, Play with Kubernetes offers a valuable learning experience. Its ease of use and interactive nature make it ideal for:

  • Individuals new to Kubernetes: The platform provides a gentle introduction to the core concepts and functionalities of Kubernetes.
  • Developers looking to test and experiment with Kubernetes configurations: Play with Kubernetes allows you to explore various configurations and troubleshoot issues without affecting your production environment.
  • Teams collaborating on Kubernetes projects: The platform facilitates shared learning and experimentation, fostering team communication and collaboration.

Exploring the Possibilities:

Play with Kubernetes is more than just a learning tool; it’s a gateway to exploring the exciting world of cloud-native development. As you gain confidence with Kubernetes, you can leverage its capabilities to build and deploy scalable, resilient, and portable applications.


  • Limited customization: PWD’s focus on simplicity comes at the cost of customization options.
  • Less beginner-friendly: The interface and documentation may be intimidating for absolute beginners.

Suitable for:

  • Users familiar with basic Linux commands and Docker.
  • Individuals seeking a lightweight and portable playground.
  • Those looking for specific pre-configured labs.


Killercoda is an interactive learning platform that allows users to access Linux, Kubernetes, and other technology environments directly in their browser. There’s no need for local setup or installation, making it a convenient and accessible way to learn new skills.

Here are the key points about Killercoda:


  • Interactive environments: Run real Linux or Kubernetes environments in your browser with no local setup required.
  • Learn from existing scenarios: Explore scenarios created by other users to learn about various technologies.
  • Create your own scenarios: Share your knowledge and help others learn by creating your own interactive scenarios.
  • Membership plans: Free basic plan or paid PLUS plan with additional features.
  • Katacoda compatible: Import your existing Katacoda scenarios easily.
  • Security: Virtual machines provide a secure environment for running applications.
  • Technology stack: Utilizes container technology and KubeVirt for infrastructure and virtual machines.

Target audience:

  • Tech learners: Individuals who want to learn new technologies in an interactive way.
  • Educators: Teachers and trainers who want to incorporate interactive environments into their lessons.
  • Tech professionals: Developers, sysadmins, and others who need to learn new tools and technologies.


  • Simplicity: No setup or installation required, just open your browser and start learning.
  • Accessibility: Available on any device with a web browser.
  • Variety of scenarios: Learn about various technologies with existing scenarios or create your own.
  • Engaging learning experience: Interactive scenarios make learning more fun and effective.
  • Community: Connect with other learners and creators through the platform.

Overall, Killercoda is a valuable platform for anyone who wants to learn new technologies in an interactive and accessible way.


  • Interactive and visual interface: Killercoda provides a user-friendly interface with interactive tutorials and visualizations.
  • Variety of learning paths: Offers structured learning paths for beginners and advanced users.
  • Built-in cheat sheets and references: Provides quick access to helpful information while learning.
  • Cloud-based: No local setup required, making it readily accessible from any device.


  • Limited free plan: The free plan only offers access to a limited number of features.
  • Subscription required for full access: Full access to features and learning paths requires a paid subscription.

Suitable for:

  • Beginners with little or no prior knowledge of Kubernetes.
  • Visual learners who prefer interactive and guided learning experiences.
  • Individuals seeking a cloud-based, readily accessible playground.

Other Options:

  • Minikube: A local Kubernetes cluster running on your machine, offering more flexibility and customization options.
  • Docker Desktop: A platform that allows you to build, share, and run containerized applications. It is a one-click install application that includes Docker Engine, Docker CLI client, Docker Compose, Docker Content Trust, Kubernetes, and Credential Helper.

Choosing the Right Playground:

The best Kubernetes playground for you depends on your individual needs and learning style. Consider the following factors:

  • Skill level: Are you a complete beginner or do you have some prior knowledge of Kubernetes?
  • Learning style: Do you prefer interactive tutorials, hands-on labs, or self-guided exploration?
  • Accessibility: Do you need a cloud-based solution or prefer to run the playground locally?
  • Customization: Do you require flexibility and customization options for advanced experimentation?

By carefully considering these factors and exploring the features of each platform, you can choose the ideal Kubernetes playground to embark on your learning journey and master this powerful container orchestration technology.

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Avinash Bendigeri Avinash is a developer-turned Technical writer skilled in core content creation. He has an excellent track record of blogging in areas like Docker, Kubernetes, IoT and AI.
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