Testing code changes in pre-production environments prevent integration issues in production pipeline

Icon_Reduce FailuresLegacy Testing Processes Slow Down Innovation

In today’s development process there is no place for developers to test and validate code changes against production-ready services.

And, there is no easy way for developers to share changes with stakeholders to review and validate changes prior to releasing to production.


icon-thumbsup"Works on my machine" becomes a thing of the past...

Developers who use pre-production environments can test service changes automatically and continuously with dependent services. This ensures that the changed service not only works on “my machine” but also works with the rest of the dependent services.

icon-rocketshipRoost.ai's pre-production environments solve issues from legacy processes and traditional software tools. 

Roost.ai provides DevOps teams and developers with an on demand pre-production environment that automatically tests code changes using existing workflows that streamlines the entire development process. Utilizing the Roost.ai Environments as a Service platform development processes are: fast, shareable, scalable, managed, and easy to reproduce at every step.

Removes bottlenecks waiting for testing

Lowers cost of managing and maintaining Kubernetes clusters and ecosystems 

Faster turn-times for product features because feedback loops are done more quickly



pre prod environment

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Roost.ai provides developers with an ephemeral
pre-production environment that automatically test code changes using existing workflows.

Meet Rishi Yadav, Roost's Co-Founder and CEO. In this one-minute video he shares the three steps that Roost takes to understanding complex development environments.

Here are some frequently asked questions that help you understand pre-production environments.

What is a pre-production environment?
A pre-production environment provides software engineers with site that provides  the ability to conduct service integration testing. It is a  validation tier that resembles production as much as possible. 
Why should I test in a pre-production environment instead of production?

The only way to ensure your pull request (PR)  is 100% accurate and ready to merge into production is to test the PR in a preproduction environment that mirrors the entire application. Hand crafting these environments for every PR would be impossible and at the end of the day they are still just static. An ephemeral pre-production test environment, by design, is dynamic and runs “test cases” automatically and “learns” from system behavior so it can run dependency tests in a much faster and more efficient way. When a PR is merged (or a change moves to the next step) it’s already validated and ready to be merged to production. 

Why do we need a pre-production environment?

An ephemeral pre-production environment allows all service changes to be tested and certified by developers thus the traditional CI phase is not needed anymore. Furthermore, once these changes go to production, the chances of failure are close to none.

By eliminating the need for traditional CI, and left-shifting the battle-hardening of services and applications into the hands of developers, releases can be accelerated by at least 60%.


How does automatic testing in a pre-production environment work?

Here are five steps that Roost.ai takes to automatically test code changes in a pre-production environment:

1. Discovers pre-production configuration by continuously scanning code repositories.

2. Connect to your service repos, define your build/deploy/test configs

3. On creation of a pull request a test an ephemeral environment is automatically launched

4. Automatically test your pull request or code changes using existing workflows

5. Continuously learns about your environment and service dependencies (e.g. next cycle, test only dependent services, etc.)

6. Takes a snapshot of the change (sharable preview URL) for approval/validation/replay

How do I create an ephemeral pre-production environment?

The Roost.ai platform automatically creates a pre-prod environment based upon a pull request or code change. Roost's AI-enabled software automatically builds and tests the pre-prod environment with necessary service dependencies which are auto-discovered as each application is run. The platform’s AI-enabled discovery service keeps updating service dependencies in a real-time way so that your application always gets the latest working environment.