5 Ways Bunnyshell Ephemeral Environments Accelerate AI-Powered Development

This article explains how to use GitHub Actions and Bunnyshell together to create dynamic preview environments for pull requests.

As software development continues to evolve, engineering leaders are constantly seeking ways to improve their teams' productivity and streamline their workflows. One such solution is Bunnyshell, an Environments as a Service (EaaS) platform that aims to revolutionize the way software engineers and QA teams work together.

In this tutorial, we show you how to automate testing environments with production-like data in Bunnyshell.

In this tutorial, we guide you step-by-step on how to deploy a Docker-Compose based app on Kubernetes using Bunnyshell.

We are thrilled to announce that BunnyShell environment-as-a-service (EaaS) has successfully achieved SOC 2 Type I certification! We have an unwavering commitment to delivering the highest standards of security, availability, and privacy for our customers and believe that SOC 2 Type I certification is one of the steps on our journey to becoming the best EaaS company on earth.

This is a follow-up of the articleHow to Launch your AI Project with PyTorch in Minutes Using Bunnyshell Templates. It’s a step-by-step guide on setting up remote development on the PyTorch environment with Bunnyshell CLI.

This is a short how-to guide on setting up a PyTorch and Python environment usingBunnyshell Templatesfor an AI project.

Is there a difference between CI/CD and environment as a service? Are they dependent on each other? How environment as a service and ephemeral environments can accelerate ci/cd workflows for automated testing, and more.