New Signadot Plans is available in beta: agent-native validation workflows for microservices
Microservices Testing Platform

Microservices testing, solved for the agentic era.

Shift integration, end-to-end, performance, chaos, and security tests left, into the inner loop. Every developer and every coding agent validates their changes against real services before code lands.
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Playground cluster available
coding agent PR #423 coding agent PR #424 coding agent PR #425 KUBERNETES CLUSTER shared ENV · pr-423 isolated integration 24 / 24 ENV · pr-424 isolated e2e 18 / 18 ENV · pr-425 isolated regression 42 / 42
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Why traditional microservices testing fails at scale

Microservices multiply the things that can go wrong between services. The harder the system gets to test, the more teams fall back on shared staging, brittle mocks, and merge-and-pray. None of that survives the agent era.
Mocks lie, integration bugs hide
Unit tests with mocked dependencies pass locally and break in production. Cross-service issues only surface when services talk to each other for real, which is too late if you only find out post-merge.
Shared staging is the bottleneck
When every developer, every PR, and every CI run hits the same staging cluster, tests fail because of collisions, not real bugs. Engineers spend more time triaging environments than reading diffs.
Full-stack copies do not scale
Replicating a hundred-service stack for every engineer and every PR is impossible. The cloud bill alone kills the idea before you finish the design doc.
Coding agents make the gap worse
Agents generate microservices changes faster than humans can review them. Without a way to run integration and end-to-end tests against real services on every change, the reviewer becomes the verification layer and the queue keeps growing.

Agents can only validate what they can run.

Static checks like unit tests, types, and lint are easy to shift left. The runtime tests that catch real microservices bugs only run when developers and agents can hit real services. Signadot brings the full runtime test surface into the inner loop on every change.
Static analysis Runtime
Without Signadot
Agents fall back to local checks
unit tests types lint
integration e2e contract performance chaos security
With Signadot
Real dependencies, every change
unit tests types lint
integration e2e contract performance chaos security

How Signadot solves microservices testing

Shift integration, end-to-end, performance, contract, chaos, and security tests left into the inner loop for developers and coding agents, and into pre-merge gates for every PR.
1
Shift left across the full test surface
Run integration, end-to-end, performance, contract, chaos, and security tests on every change instead of waiting for staging. Catch the cross-service bugs that only show up against real dependencies in the inner loop, not after merge.
2
Plans: composable, agent-native validation
Platform teams define reusable Actions: deploy a Sandbox, run a test suite, capture and replay traffic, gate a merge. Developers and agents compose them into Plans for repeatable, agent-native validation workflows.
3
Jobs: managed test execution
Jobs is Signadot's managed test execution framework. Each Job runs in its own Kubernetes pod and exercises the APIs and frontends routed through your Sandboxes. Bring Playwright, Cypress, k6, or any custom runner. Signadot handles scheduling, isolation, and CI integration.

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
Tyler Marien
Senior Software Developer, Wealthsimple

Give your agents more autonomy.

Let every coding agent validate microservices changes end to end in its own ephemeral environment, against your real cluster. Reviewers see code that has already passed your tests.

Microservices testing, built for coding agents.

Coding agents like Claude Code, Cursor, Codex, and Copilot generate microservices changes faster than humans can review them. Signadot gives every agent the same inner-loop feedback your developers get, against real dependencies on your own cluster.
Inner-loop validation for agents
Each agent spins up its own ephemeral environment, runs integration and end-to-end tests against real microservices, and iterates on failures before it ever opens a pull request.
Native MCP server
Any MCP-compatible agent can create, manage, and route to ephemeral environments through natural language. The agent drives its own environment, your platform team keeps the guardrails.
Validated pull requests, not draft code
Every change an agent submits has already cleared your integration, end-to-end, and regression tests against real services. Reviewers spend time on judgment, not triage.

Microservices Testing FAQ

What is microservices testing and why is it hard?

Microservices testing is the practice of validating that each service in a distributed system behaves correctly on its own and in combination with the services around it. It is hard because the bugs that matter most live in the seams between services. Unit tests with mocked dependencies cannot catch them, and replicating the full stack for every engineer or every pull request is too expensive to be practical.

How is microservices testing different from monolithic testing?

In a monolith, end-to-end testing is mostly a single deployment and a test suite. In microservices, end-to-end testing requires running your service alongside dozens or hundreds of real dependencies, with stateful resources like databases and queues behaving the way they do in production. The infrastructure problem is the testing problem.

Can I do microservices testing without a full staging environment?

Yes. Signadot gives you lightweight ephemeral environments that share a single baseline cluster. Only the services you changed are deployed into the new environment. Every other service stays on the shared baseline. You get production-like fidelity without duplicating the stack.

How does Signadot handle databases and message queues in tests?

Signadot provides resource plugins for spinning up temporary databases on demand and multi-tenancy support for shared message queues like Kafka and SQS. You get realistic state and realistic async behavior without rewriting your application to know about test mode.

How do coding agents use Signadot?

Coding agents connect through the native MCP server or the Signadot CLI. The agent spins up its own ephemeral environment per task, runs integration and end-to-end tests against your real services, and iterates on failures inside its own loop. The pull request that lands on a reviewer's desk has already cleared your validation logic.

Does Signadot replace human review?

No. Signadot widens what an agent or a developer can verify on their own before review. Reviewers still own merge decisions. The difference is that the work landing on their queue has already been validated end to end, so review time gets spent on judgment instead of triage.

How fast can I get started?

Signadot runs on your existing Kubernetes cluster. The Playground cluster is available for free with no credit card. Most teams have their first ephemeral environment running in their own cluster within an afternoon.

Ship microservices code at agent speed.

Give your coding agents an ephemeral Kubernetes environment per task and let them validate every change end to end before a human ever opens the PR.