Turn AI-generated code into shipped software
See how engineering teams keep up with agent-speed development, without the babysitting, the production incidents, or the runaway infrastructure cost.
" Signadot for this (preview environments) use case fit what we were trying to do better than anything else. It was a more mature solution than the other stuff that we were looking at. And the return on the investment was obvious... just in infrastructure costs, it saves us about $2 million annually."
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Testimonials
"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."
" Staging used to break, and it used to affect everyone else on the, who were using the downstream service or upstream service, including the QA and front end backend people. Now (with Signadot) we just need to maintain single pull request. And for authors also, they just need to make one pull request and they can add future changes in the same thing."
"We are biased toward action. We move fast and ship new products quickly, but we also prioritize platform reliability. Automated testing and tooling are key to catching issues early."
Frequently asked questions
Unlike traditional ephemeral environments that duplicate entire infrastructure stacks, Signadot uses a unique approach called Sandboxes that provides isolation at the request/application layer. This means you can run multiple isolated test environments in a single Kubernetes cluster without duplicating resources. Environments spin up in seconds, is more cost-effective and scalable.
Signadot provides an environment layer and a validation layer on top of it:
- Sandboxes: lightweight, isolated environments that run only the service you changed against a shared baseline cluster
- Local Testing: develop and test microservices on your local machine while connecting to real dependencies in your Kubernetes cluster
- Preview Environments: preview every code change from web and mobile frontends
- Jobs: run your existing test suites against isolated Sandboxes for every PR
- SmartTests: AI-powered contract testing that detects API breaking changes automatically
- Plans: declarative validation workflows that agents and pipelines can run end to end
Sandboxes are lightweight, isolated testing environments that allow you to test changes without interfering with other developers or the base environment. Unlike traditional approaches that duplicate entire infrastructure, Sandboxes only create the specific components you're modifying and use request routing to provide isolation.
Sandboxes run inside your existing Kubernetes clusters. Signadot installs as an operator in your Kubernetes environment, so all workloads, data, and testing happen within your infrastructure. The Signadot control plane orchestrates the creation and management of these Sandboxes, but your code and data never leave your environment.
Getting started with Signadot typically takes less than 15 mins. The minimal setup involves just two steps:
1. Installing the Signadot operator in your Kubernetes cluster.
2. Using our CLI to create Sandboxes and run tests.
Signadot integrates seamlessly with all major CI/CD systems through our CLI, which can be used as a step in your pipeline. We have examples of integrations for GitHub Actions, GitLab CI, Jenkins, and BitBucket in our documentation.
