Sandbox

Get hands-on with our pre-configured environments and datasets.

Launch the same zero-install labs used in training engagements-perfect for piloting ProctorWell workflows, validating Virtual AI Lab templates, or rehearsing certification runbooks without infrastructure overhead.

Getting Started

Download the Docker Compose YAML file.
Run `docker-compose up -d` to start the services.
Access the services via your browser (e.g., Jupyter, Spark UI).
Login with default credentials (if applicable, e.g., `user:password`).
Explore the pre-loaded datasets and example notebooks.

Download Links

Docker Compose

Download Docker Compose YAML

Source Code Repos

Datasets

Usage Notes

What's included: Our sandbox typically includes pre-installed versions of Apache Spark, Apache Kafka, Hadoop HDFS, Jupyter Notebook, and various data science libraries. Specific versions may vary.

Limitations: These environments are designed for learning and experimentation, not for production workloads. Resources are limited, and persistent storage is not guaranteed across restarts unless explicitly configured.

Tips:

Ensure Docker is installed and running on your system.
Allocate sufficient memory and CPU to Docker for optimal performance.
Refer to the documentation within the sandbox for specific examples and tutorials.