DevOps

End-to-end testing in microservices can make or break your release velocity. This comprehensive guide explores how engineering leaders can balance quality and speed in 2025 by rethinking E2E testing strategies. From orchestrating services and taming flaky tests to leveraging full-stack preview environments (with platforms like Bunnyshell) for every pull request, we delve into best practices to ensure your distributed system works flawlessly – without grinding development to a halt.

In today’s AI-driven world, SaaS startups can’t afford to stick to outdated development workflows. This article explores how modern teams of 5–20 developers can dramatically boost velocity by combining AI assistants like ChatGPT, code copilots like Cursor, preview environments with Bunnyshell, and smart Git workflows. Packed with practical advice and comparisons to legacy SDLC methods, it’s a must-read playbook for any team that wants to build faster without breaking things.

Bunnyshell vs Render: Discover which platform suits your development workflow. We compare Bunnyshell’s AI-first ephemeral environments with Render’s easy-to-use PaaS approach—helping you choose the right tool for speed, scale, and smart testing.

We’re approaching a future where AI - not humans - writes, tests, and deploys software. This post explores the shift toward zero-engineer development, driven by tools like Cursor, Bolt.new, and Windsurf. It examines the enterprise barriers - trust, competence, and context—and highlights how platforms like Bunnyshell enable instant, isolated environments for testing and deploying AI-generated applications. As deployment becomes frictionless, the winners will be those who own the smartest AI and the infrastructure to support it.

As startups outgrow Heroku in 2025, the need shifts from just deploying code to testing it faster and safer. This guide compares top Heroku alternatives: Bunnyshell, Render, and Fly.io - with a focus on preview environments, QA automation, and per-PR testing workflows. Ideal for startups using GitHub Copilot, Cursor, or Windsurf to generate code quickly and looking for modern tools that match that speed with confidence.

Shared staging environments may seem convenient, but in fast-moving teams using GitHub Copilot or Cursor, they quickly become the bottleneck. This article breaks down the hidden costs - wasted dev time, delayed QA, fragile infrastructure - and explains why per-PR preview environments are the better solution. Built for 2025 startups that ship fast and test smarter.

AI tools like Copilot and Cursor help developers move fast, but they also introduce fragile code that can quietly break CI pipelines. In this post, we explore why AI-generated code often passes unit tests but fails in integration - and how ephemeral preview environments per pull request can catch these issues before they escalate. Ideal for startups moving fast with AI and struggling with flaky pipelines, slow QA, or post-merge surprises.

This article provides an introduction to Environment as Code (EaaC) and explains how it extends the principles of Infrastructure as Code (IaC) to include all aspects of an application’s environment—services, configurations, and dependencies. It highlights key benefits such as consistent, production-like testing environments, faster development cycles, improved collaboration, and cost optimization. Practical examples demonstrate how teams can spin up on-demand environments for feature branch testing, demos, or parallel staging.

Discover the fundamentals of platform engineering, its role in modern software delivery, how it differs from DevOps, and the key skills required. Learn how platform engineering enhances productivity, automates processes, and supports scalable, secure infrastructure.

Docker Compose is a powerful tool for development but falls short in production environments due to its lack of features like high availability, fault tolerance, and automated scaling. This article explores these limitations and introduces Bunnyshell, a platform that allows developers to easily import Docker Compose configurations and deploy them to Kubernetes. By automating scaling, offering rolling updates, and providing robust security and monitoring, Bunnyshell transforms Docker Compose setups into production-ready environments. If you’re looking to scale your app with minimal hassle, Bunnyshell is an ideal solution.