Self-Service Ephemeral Environments
That Seamlessly Integrate Into Your CI/CD Pipeline
Eliminate staging bottlenecks, support microservices growth, and reduce developer friction – without cloud lock-in. Single click and automated deployments to our hosted service from your docker-compose file.
From IDE to online in a single click
The easiest way to preview, share, and test your application during the prototyping and testing process.
Enable environment-as-a-service for your Internal Developer Platform without building and maintaining complex infrastructure
IDP Ready
Pluggable architecture designed for Internal Developer Platforms. No need to build environment orchestration from scratch.
Eliminate Sprawl
Stop environment sprawl and integration drift. Each environment is isolated and automatically cleaned up.
Microservices Support
Built for microservices architectures. Support multiple teams and complex service dependencies.
No Cloud Lock-In
Works with your existing infrastructure. No vendor lock-in, no infrastructure changes required.
Why Choose VeilStream?
Current challenges:
- Shared staging is a bottleneck; PRs conflict
- Spinning up temporary environments is slow or manual and fraught with compatibility challenges
- Reviewers and PMs can't easily see feature branches
- Limited DevOps resources for environment management
- Too much internal maintenance overhead building environment orchestration
- ArgoCD or Helm too heavy for simple PR-level deploys
- Complex Kubernetes management overhead
- Need environment-as-a-service capability without building infrastructure
VeilStream Solutions:
- One-click ephemeral environments
- Environment-as-a-service without infrastructure maintenance
- Works beside your existing GitHub Actions, Jenkins, ArgoCD, and other CI/CD pipelines
- Automatic teardown → no staging clutter or cost
- Instant preview URLs for stakeholders
- No cluster maintenance — just bring a docker-compose.yml
- Team-specific isolated environments
- Self-service environment provisioning for developers
- Supports multi-container Compose apps and MCP
Optional Feature: Safely and Efficiently Mask Sensitive Data in Your Ephemeral Environments
Graphical User Interface
With a simple GUI, team members in IT and compliance, can set permissions without needing to use a CLI or to make potentially risky changes against your database.
Create Safe Snapshots
Obfuscation allows you to easily and quickly create test databases that have the same schema and size as production but without the risk of leaking sensitive data.
Powerful Controls
Hide or obfuscate data on a per-user basis. Control access to columns or rows and use intelligent filters for fine-grained control and flexibility.
Flexible Deployment Options
There is no need to install an extension on your database. The proxy server and admin interface can be hosted by us or you can install them on your own infrastructure.
Simplified staging environments
We founded VeilStream to help organizations iterate more quickly by removing friction from the process of managing staging and review enviroments. With our one-click ephemeral environments and optional Postgres database proxy server that masks sensitive data, we allow engineering teams to move more quickly without compromising safety.
Frequently Asked Questions
VeilStream is a cloud hosted service for ephemeral environments. All you need to do is connect VeilStream to a GitHub repository with a docker-compose.yml file and you can configure it to deploy a review application on every commit or whenever you open a pull request. VeilStream also provides an optional data protection module that you can include as a Docker container. This module acts as a proxy server for a Postgres databaes to filter out sensitive data.
You will need to authorize VeilStream in your GitHub account but you do not need to install any software on your computer. If you wish to leverage the lightweight Postgres proxy server, then you will need to add VeilStream as a service within your docker-compose.yml.
Yes, one of the advantages of using VeilStream is that you can use our API to dynamically create and remove filters for AI agents that are accessing your database depending on the scope of the work they are performing.