Case Study How Laurel brings production-ready validation to AI-native development while cutting change failure rate by 82%

The enterprise alternative to vCluster

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Test microservices without duplicating infrastructure using lightweight request-level isolation.
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Enable developers and agents to validate in parallel on shared environments without stepping on each other.
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Hundreds of concurrent sandboxes on a single cluster with minimal resource overhead.
Diagram of a Signadot sandbox testing a service against the baseline environment
Trusted by engineering teams worldwide

vCluster creates virtual clusters for isolation. Signadot provides testing sandboxes without the overhead.

vCluster creates virtual Kubernetes clusters within a physical host cluster, providing full isolation with dedicated control planes.
Use cases and capabilities
Signadot
Kubernetes-Native Validation Platform
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Virtualized Environments
Lightweight sandboxes isolate changes within your existing cluster. No duplication needed.
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Composable Validation
A framework of reusable tools and actions for validating changes against real dependencies at scale.
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Agentic Development
Agents and developers validate in parallel. Hundreds of concurrent sandboxes on a single cluster without conflicts.
vCluster
Virtual Cluster Focus
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Virtual Cluster Isolation
Full control plane isolation with separate API servers per virtual cluster.
Not designed for application-level testing or PR preview workflows
Signadot combines virtualized environments with a composable validation framework on your existing Kubernetes cluster. Agents and developers get fast, isolated, full-fidelity feedback on every change without linear growth in infrastructure cost.
preview environments icon
Previews for Every Pull Request
From web to mobile frontends, generate on-demand previews that let your team test earlier and deploy with confidence.
launch speed icon
Launch Previews in Seconds
Don't waste time waiting. Signadot delivers previews in seconds while competitors take minutes, keeping your engineering velocity high.
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Cut Infrastructure Cost by 90%
Testing across pull requests without duplicating environments cuts down cloud costs dramatically.
Testimonials

Hear from our customers

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Brex logo
$2M saved annually
On the margin, with the Signadot approach, 99.8% of the isolated environment's infrastructure costs look wasteful. That percentage looks like an exaggeration, but it's really not.
Connor Braa, Software Engineering Manager at Brex
Connor Braa
Software Engineering Manager
Bitso logo
83% lower change failure rate
We basically stopped creating full preview environments and replaced our custom solution with Signadot. Instead of isolating the full environment, the strategy using routing keys is much lighter, and we are able to provide an isolated environment, even with isolated databases, per PR quite fast.
Marcus Tavares, Staff Software Engineer at Bitso
Marcus Tavares
Staff Software Engineer
Wealthsimple logo
No more fighting over staging
Creating a sandbox is extremely fast, it works every time, lets me test what I'm building quickly, and move on. This is awesome.
Tyler Marien, Senior Software Developer at Wealthsimple
Tyler Marien
Senior Software Developer
Miro logo
10x integration capacity
Our engineers were spending more time waiting for an environment than shipping. Now they test against our real services in parallel, which made a whole tier of fixed test infrastructure unnecessary. Retiring environments we had carried for years is projected to save us several million dollars annually.
Jony Jeyaratnam, Head of Engineering at Miro
Jony Jeyaratnam
Head of Engineering

See how we compare

From code changes to testing environments in minutes. Our automated workflow lets you focus on development while we handle the preview environment setup and teardown.
Feature
Signadot
vCluster
Primary Purpose
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Microservices testing with request-level isolation
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Fully isolated virtual Kubernetes clusters
PR Previews
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Automatically create previews for PR testing
Not supported
Not designed for this use case
Automated Testing
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Built-in support for automated testing (including AI-powered SmartTests)
Not supported
Out of scope
Isolation Level
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Application layer with intelligent request routing
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K8s namespace level with separate control planes
Resource Usage
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Very lightweight, minimal overhead
Not supported
Lighter than physical clusters but heavier than sharing
Team Collaboration
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Developers and agents can collaborate by combining Sandboxes
Not supported
Primarily designed for cluster-level isolation
Data Isolation
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Supports tunable data isolation strategies
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Full data isolation per virtual cluster
Agentic Development
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MCP server for autonomous agent workflows
Not supported
Not designed for agent-driven development

The bottleneck has shifted from writing code to proving it works.

Agentic development only delivers value when code generation velocity converts into shipped product. Signadot provides the validation infrastructure to make that conversion happen: virtualized environments that spin up in seconds and a composable validation framework that makes feedback fast, isolated, and reproducible at enterprise scale.

Built for Developers and Agents

Integrate with CI tools you already use
jenkins logoGitLab logoGitHub logoBitbucket logo
Support all test frameworks
Cypress logoSelenium logoCucumber logok6 logoPostman logoPlaywright logo
Signadot is making it easier for our developers to build and test microservices using deployments that are incredibly similar to production. This has made both human and AI-written code easier to validate and test.
Naomi Klein, Lead Infrastructure Engineer at Laurel
Naomi Klein
Lead Infrastructure Engineer at Laurel
How is Signadot different from other testing solutions?

Unlike traditional approaches that create full duplicate environments, Signadot uses a unique request-routing approach that allows you to test changes in isolation while sharing existing infrastructure. This results in up to 90% cost savings while delivering significantly faster feedback cycles.

How does Signadot integrate with my CI/CD pipeline?

Signadot provides a CLI and API that integrates with all popular CI/CD systems including GitHub Actions, Jenkins, CircleCI, and GitLab. Our integration creates sandboxes for each pull request, runs tests, and reports results back to your pull request, providing complete visibility into test outcomes.

What testing frameworks does Signadot support?

Signadot works with any testing framework you currently use, including Cypress, Selenium, Playwright, Postman, RestAssured, JUnit, pytest, and more. There's no need to rewrite your tests - just point them at your sandbox environments using our routing mechanisms.

Do I need to modify my applications to use Signadot?

No code changes are required to your applications. Signadot works at the network layer by intercepting requests and routing them to the appropriate services. We provide tools like our Chrome extension, SDK, and CLI to make it easy to manage routing without modifying your application code.

How long does it take to set up Signadot?

Most teams are up and running with Signadot in less than a day. Installation involves deploying our Kubernetes operator to your cluster and configuring your CI/CD pipeline to create sandboxes. Our team provides hands-on support to ensure a smooth onboarding experience.

Does Signadot support coding agents?

Yes. Signadot's MCP server lets coding agents (including Cursor, Claude Code, and VSCode) provision sandboxes, run tests, and verify changes autonomously. This turns agents from code generators into autonomous engineers that can validate their own work in a closed feedback loop.

Can Signadot work with our service mesh?

Yes, Signadot integrates with popular service meshes like Istio, Linkerd, and Consul. We can leverage your existing service mesh for routing or use our built-in routing mechanisms if you don't have a service mesh. Our approach is designed to be flexible and work with your existing infrastructure.

Validate code as fast as agents write it. Cut environment costs by 90%.

Explore how Signadot helps engineering teams validate code at the speed agents generate it, with cost-efficient parallel validation on your existing Kubernetes infrastructure.