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Playwright vs Cypress for API Testing (2026)

Compare Playwright vs Cypress for API testing with runnable examples, trade-offs, setup guidance, and a practical framework decision for QA teams in CI.

18 min read | 2,937 words

TL;DR

Playwright is the stronger default for a new API-assisted end-to-end stack because APIRequestContext integrates cleanly with browser contexts, supports isolated clients, and fits parallel projects. Cypress remains an excellent choice for teams already invested in its command queue, runner UI, and cy.request() workflow.

Key Takeaways

  • Choose Playwright when API setup and verification support a multi-browser end-to-end suite or when isolated request contexts matter.
  • Choose Cypress when the team already uses Cypress and needs concise API checks through cy.request().
  • Playwright exposes status checks and response parsing through APIResponse, while Cypress yields a response through its command queue.
  • Neither runner replaces contract, security, or load-testing tools; keep each test at the correct layer.
  • Use deterministic test data, explicit status assertions, schema checks, and cleanup in either framework.
  • Evaluate CI behavior, debugging workflow, authentication boundaries, and team ownership before standardizing.

Playwright vs Cypress for API testing is not a contest over which tool can send HTTP requests. Both can test status codes, headers, JSON bodies, authentication, and negative cases. The useful decision is whether your API checks should share architecture with Playwright's browser projects and isolated request contexts or Cypress's command queue and interactive runner.

For a new TypeScript automation stack, choose Playwright when API calls create browser-test prerequisites, verify server state, or run as independent API projects. Choose Cypress when your team already operates a Cypress suite and wants readable service checks without introducing another runner. This guide builds the same small test workflow in both tools, compares their execution models, and gives you a defensible selection process.

TL;DR

Decision factor Playwright Cypress
Core API request.newContext() and APIRequestContext cy.request()
Execution model Async TypeScript or JavaScript with fixtures Cypress command queue with chained subjects
Standalone API suites First-class through a request fixture or custom context Practical, but still runs inside the Cypress test runner
Browser state sharing Can share cookies through a browser context's request or import storageState cy.request() automatically uses and updates the browser cookie jar
Multiple identities Separate request contexts are explicit and easy to isolate Usually handled with separate sessions, headers, or test boundaries
UI debugging Trace viewer, HTML report, attachments Interactive command log, runner snapshots, network details
Best fit New cross-browser stacks and API-assisted E2E Existing Cypress teams and browser-centric workflows

Verdict: Playwright has the edge for greenfield, multi-context, API-heavy automation. Cypress is usually the lower-cost choice when it is already the organization's browser runner. Tool familiarity is valuable, but do not let familiarity hide requirements such as concurrent user contexts, browser-engine coverage, or independent API workers.

What You Will Build

You will create equivalent TypeScript checks against a local JSON API in both runners. The examples cover the capabilities that expose meaningful differences rather than a superficial GET request.

  • Start a deterministic local service with users, bearer authentication, and cleanup endpoints.
  • Configure Playwright and Cypress with the same base URL.
  • Test a successful read, an authenticated create, and a negative request.
  • Reuse authentication without leaking one test user's state into another.
  • Run each suite from the terminal and compare reports, failures, and maintenance cost.

The sample uses json-server so you can paste every command into an empty directory. For production, point the same clients at a disposable test environment and replace broad body assertions with domain-specific checks. If you need a larger framework layout, the JavaScript API automation framework guide expands the folder and helper design.

Prerequisites

Use Node.js 20 or later and npm. Create a clean project, initialize it, and install the current packages resolved by your lockfile. Pinning the generated lockfile in version control makes the example reproducible even as package releases move.

mkdir api-runner-comparison
cd api-runner-comparison
npm init -y
npm install -D typescript json-server concurrently @playwright/test cypress
npx playwright install chromium

Create db.json at the project root. The local service will expose /users, accept standard JSON writes, and return 404 for unknown records.

{
  "users": [
    { "id": "1", "name": "Ada", "role": "admin" },
    { "id": "2", "name": "Linus", "role": "viewer" }
  ]
}

Verify the service before involving either runner. Keep this terminal open.

npx json-server db.json --port 3001

In a second terminal, verify the boundary directly. A 200 response and a JSON array prove that failures after this point belong to test setup or assertions, not service startup.

curl -i http://127.0.0.1:3001/users

Step 1: Configure Playwright for API Testing

Create playwright.config.ts. The built-in request fixture reads baseURL, so tests can use relative paths. Restrict this comparison to Chromium only because the first suite sends HTTP requests without opening a page; in a mixed suite, add Firefox and WebKit projects where browser coverage matters.

import { defineConfig } from '@playwright/test';

export default defineConfig({
  testDir: './tests/playwright',
  fullyParallel: true,
  retries: process.env.CI ? 2 : 0,
  reporter: [['list'], ['html', { open: 'never' }]],
  use: {
    baseURL: 'http://127.0.0.1:3001',
    extraHTTPHeaders: {
      Accept: 'application/json'
    }
  }
});

Create tests/playwright/users.spec.ts. Check the transport result before parsing the body. response.ok() accepts the complete 200 to 299 range, while the explicit status assertion documents the endpoint contract.

import { test, expect } from '@playwright/test';

test('returns the seeded users', async ({ request }) => {
  const response = await request.get('/users');

  expect(response.status()).toBe(200);
  expect(response.ok()).toBe(true);
  expect(response.headers()['content-type']).toContain('application/json');

  const users = await response.json();
  expect(users).toEqual(expect.arrayContaining([
    expect.objectContaining({ name: 'Ada', role: 'admin' })
  ]));
});

Verify this step while json-server is running. The output should show one passed test and the HTML reporter should be generated without launching a browser window.

npx playwright test tests/playwright/users.spec.ts

Playwright's advantage here is ordinary async code. The response does not become a Cypress subject, so you can pass it to normal functions, use Promise.all() deliberately, and debug it with familiar language semantics. That freedom also requires discipline: always await request and parsing calls.

Step 2: Configure Cypress for API Testing

Create cypress.config.ts. Cypress specs still execute through the Cypress runner even when they never call cy.visit(). Disable video for a service-only example because there is no browser interaction worth recording.

import { defineConfig } from 'cypress';

export default defineConfig({
  video: false,
  e2e: {
    baseUrl: 'http://127.0.0.1:3001',
    specPattern: 'cypress/e2e/**/*.cy.ts',
    supportFile: false
  }
});

Create cypress/e2e/users.cy.ts. cy.request() fails automatically on non-2xx or non-3xx status codes unless failOnStatusCode is false. Keep the status assertion because it communicates the exact contract and detects an unintended redirect.

describe('users API', () => {
  it('returns the seeded users', () => {
    cy.request({
      method: 'GET',
      url: '/users',
      headers: { Accept: 'application/json' }
    }).then((response) => {
      expect(response.status).to.eq(200);
      expect(response.headers['content-type']).to.include('application/json');
      expect(response.body).to.deep.include({
        id: '1', name: 'Ada', role: 'admin'
      });
    });
  });
});

Verify the headless path used by CI. Expect one passing spec. If you want to inspect the command log, run npx cypress open, select E2E Testing, and choose the same spec.

npx cypress run --spec cypress/e2e/users.cy.ts --browser electron

The concise chain is a Cypress strength. Its retry model, however, does not mean cy.request() repeatedly polls until a business condition becomes true. A request command can retry limited network or status failures according to its options, but assertions in .then() do not turn the whole request into arbitrary eventual-consistency polling.

Step 3: Compare POST Requests and Cleanup

Creation tests reveal data-lifecycle quality. Never depend on an ID left behind by a previous run. Generate a distinct test value, capture the returned identifier, and delete it even when possible. Against json-server, use a deterministic name plus the server-generated ID.

Add this Playwright test below the existing test. The data option serializes the object as JSON and supplies the content type.

test('creates and removes a user', async ({ request }) => {
  const createResponse = await request.post('/users', {
    data: { name: 'Grace API Test', role: 'editor' }
  });

  expect(createResponse.status()).toBe(201);
  const created = await createResponse.json();
  expect(created).toMatchObject({ name: 'Grace API Test', role: 'editor' });
  expect(created.id).toBeTruthy();

  const readResponse = await request.get(`/users/${created.id}`);
  expect(readResponse.status()).toBe(200);
  expect(await readResponse.json()).toMatchObject({ name: 'Grace API Test' });

  const deleteResponse = await request.delete(`/users/${created.id}`);
  expect(deleteResponse.status()).toBe(200);
});

Add the equivalent Cypress test. Cypress automatically serializes the object body and sets an appropriate content type. Aliasing the ID is unnecessary when the create, read, and delete operations live in one chain.

it('creates and removes a user', () => {
  cy.request('POST', '/users', {
    name: 'Grace API Test',
    role: 'editor'
  }).then((createResponse) => {
    expect(createResponse.status).to.eq(201);
    expect(createResponse.body).to.include({
      name: 'Grace API Test',
      role: 'editor'
    });

    const id: string = createResponse.body.id;
    expect(id).to.be.a('string').and.not.be.empty;

    cy.request(`/users/${id}`).its('body').should('include', {
      name: 'Grace API Test'
    });
    cy.request('DELETE', `/users/${id}`).its('status').should('eq', 200);
  });
});

Verify both suites and then query the collection. The temporary user should not remain. For larger suites, move lifecycle logic into fixtures or helpers and follow the isolation patterns in API test data management.

npx playwright test && npx cypress run --browser electron
curl http://127.0.0.1:3001/users

Step 4: Test Negative Responses Correctly

Negative testing is where default behavior differs most visibly. Playwright returns an APIResponse for HTTP errors, so you assert 404 directly. Cypress fails a request on a 4xx response by default, so set failOnStatusCode: false when that response is the expected subject of the test.

Add the Playwright case.

test('returns 404 for an unknown user', async ({ request }) => {
  const response = await request.get('/users/does-not-exist');

  expect(response.ok()).toBe(false);
  expect(response.status()).toBe(404);
});

Add the Cypress case.

it('returns 404 for an unknown user', () => {
  cy.request({
    method: 'GET',
    url: '/users/does-not-exist',
    failOnStatusCode: false
  }).then((response) => {
    expect(response.status).to.eq(404);
  });
});

Verify only the negative cases by title. Both commands should pass, proving that the failure is expected rather than swallowed.

npx playwright test -g "returns 404"
npx cypress run --spec cypress/e2e/users.cy.ts --env grep=none

The Cypress command above runs the full file because title filtering requires either a configured plugin or a runner-specific approach. Do not invent a filtering convention in CI. Keep negative cases in a separate spec if selective execution is operationally important. Expand the suite with validation errors, unsupported media types, missing credentials, forbidden roles, duplicate writes, and malformed JSON. The API error handling and negative testing guide gives those cases a systematic structure.

Step 5: Model Authentication and Multiple Identities

Real APIs need authentication. Both tools can send a bearer token, but Playwright makes independently configured clients especially clear. Create one APIRequestContext per identity, use it, and dispose it. The following example assumes your real environment accepts the supplied tokens, so place it in auth-context.spec.ts and replace the URL and secrets through environment variables.

import { test, expect, request } from '@playwright/test';

test('keeps admin and viewer clients isolated', async () => {
  const baseURL = process.env.API_URL!;
  const admin = await request.newContext({
    baseURL,
    extraHTTPHeaders: { Authorization: `Bearer ${process.env.ADMIN_TOKEN}` }
  });
  const viewer = await request.newContext({
    baseURL,
    extraHTTPHeaders: { Authorization: `Bearer ${process.env.VIEWER_TOKEN}` }
  });

  try {
    expect((await admin.get('/me')).status()).toBe(200);
    expect((await viewer.post('/admin/users', { data: { name: 'Blocked' } })).status()).toBe(403);
  } finally {
    await admin.dispose();
    await viewer.dispose();
  }
});

Cypress can express the same authorization checks by passing headers per request. This is readable for a few roles; a typed helper becomes worthwhile when many specs repeat the header.

it('enforces viewer permissions', () => {
  cy.request({
    url: `${Cypress.env('apiUrl')}/admin/users`,
    method: 'POST',
    headers: { Authorization: `Bearer ${Cypress.env('viewerToken')}` },
    body: { name: 'Blocked' },
    failOnStatusCode: false
  }).its('status').should('eq', 403);
});

Verify against the real test environment without printing tokens. Supply secrets through the CI secret store, never through committed config.

API_URL=https://test.example.internal ADMIN_TOKEN=*** VIEWER_TOKEN=*** npx playwright test auth-context.spec.ts
npx cypress run --env apiUrl=https://test.example.internal,viewerToken=***

Playwright can also connect API and UI authentication. A request context created from a browser context shares cookie storage with its pages; a standalone request context can export storageState for a new browser context. Cypress cy.request() sends cookies from Cypress's cookie jar and applies response cookies back to it. Choose explicit token clients for service checks and cookie sharing only when the scenario intentionally crosses UI and API boundaries.

Step 6: Add Schema and Contract Assertions

Body fragments catch obvious regressions, but they do not prove the complete response shape. Add a runtime schema library such as Zod when consumers depend on types, required properties, enums, or nested objects. Install it once for either runner.

npm install -D zod

Create support/user-schema.ts. Use .strict() only when additional fields would break the consumer; otherwise normal object parsing tolerates additive changes.

import { z } from 'zod';

export const UserSchema = z.object({
  id: z.string(),
  name: z.string().min(1),
  role: z.enum(['admin', 'editor', 'viewer'])
});

export const UsersSchema = z.array(UserSchema);

In Playwright, import UsersSchema and parse the body after the status assertion.

const body: unknown = await response.json();
const users = UsersSchema.parse(body);
expect(users.length).toBeGreaterThan(0);

In Cypress, use the same TypeScript module inside .then().

cy.request('/users').then(({ status, body }) => {
  expect(status).to.eq(200);
  const users = UsersSchema.parse(body);
  expect(users).to.have.length.greaterThan(0);
});

Verify the shared schema independently, then run each suite. A deliberately invalid role such as owner should produce a Zod error and fail at the consumer boundary.

npx tsc --noEmit --target ES2022 --moduleResolution node --esModuleInterop support/user-schema.ts
npx playwright test
npx cypress run --browser electron

Schema validation is not full provider-consumer contract testing. When independent services release on different schedules, add brokered compatibility checks using Pact contract testing or your organization's OpenAPI validation pipeline. Keep runner-level schemas focused on the endpoints and fields the scenario consumes.

Playwright vs Cypress for API Testing: Execution and Debugging

A passing syntax comparison hides the operational differences. Playwright test code follows promises and fixtures. Parallelism is controlled through workers, projects, and file or test configuration. Its HTML report can attach response bodies, and tracing is strongest when an API action belongs to a browser journey. Separate APIRequestContext instances make isolation visible in code.

Cypress schedules commands in a queue. You should not assign the result of cy.request() to a normal variable and expect an immediate response. Continue the chain, use .then(), or alias a value for a later hook. The interactive runner's command log is excellent for stepping through browser-centric scenarios, and API setup commands appear beside UI actions. This unified timeline is often more useful to a Cypress team than adopting another report.

Failure semantics deserve a team convention. In Playwright, assert the expected status for every request because a 500 response does not automatically throw. In Cypress, set failOnStatusCode: false only for planned negative checks; applying it globally can turn server failures into weak body assertions. In both tools, log safe request identifiers, not access tokens or personal data. Attach sanitized payloads only on failure.

For concurrency, avoid sharing mutable records. Playwright workers and Cypress CI machines can collide against the same account even if each runner isolates test state locally. Generate unique resource keys, allocate tenants per worker, or seed through a dedicated endpoint. Pagination suites need their own controlled dataset; the API pagination testing tutorial covers boundary and cursor cases.

Playwright vs Cypress for API Testing: Capability Trade-offs

Playwright wins when your architecture needs several independent HTTP clients in one test, uses API calls as browser setup across Chromium, Firefox, and WebKit, or wants one fixture system for service and UI state. Its direct async model also works naturally with existing TypeScript libraries. The request fixture is test-scoped by the runner, while manually created contexts support specialized identities and headers.

Cypress wins when one team owns a mature Cypress ecosystem, values its open-mode command log, and uses API calls mainly for seeding, login, and focused service assertions around browser flows. cy.request() is compact, familiar, and automatically participates in Cypress's cookie behavior. Rewriting stable Cypress checks solely to gain a different request API rarely repays the migration cost.

Neither tool should become a universal testing hammer. Use Pact or OpenAPI tooling for compatibility, k6 or another load tool for sustained traffic, and dedicated security tooling for active scanning. Runner concurrency is not a trustworthy load generator because assertions, reporters, and worker scheduling distort traffic. Similarly, a UI runner should not own production monitoring unless the team explicitly accepts its deployment and alerting characteristics.

Cost includes more than licenses. Measure cold install time, browser downloads, CI minutes, flaky retries, report storage, onboarding time, and the number of frameworks engineers must maintain. Run a representative proof of concept containing authentication, file upload, a 4xx case, eventual consistency, and parallel data creation. Record evidence from your own pipeline rather than relying on generic speed claims.

Which Should You Choose

Choose Playwright for a greenfield TypeScript project when API testing is a peer to browser testing rather than a small setup utility. It is also the clearer option for scenarios that need admin and user clients concurrently, storage-state handoff, or the same tests organized across projects and environments. If your roadmap includes broad cross-browser coverage, keeping UI and service orchestration in one runner reduces conceptual overhead.

Choose Cypress when an established Cypress suite, trained team, plugins, dashboards, and support conventions already exist. Add cy.request() checks beside the workflows they accelerate. The command log offers a cohesive debugging experience, and the marginal operational cost is low. Consider a different specialized API framework only when service testing grows into an independently owned product with needs the browser runner does not serve.

Use a scorecard rather than a feature checklist. Weight each requirement from 1 to 5, score both tools with a small implementation, and multiply weight by score. Include team proficiency, concurrent identity isolation, CI parallelism, report consumption, UI integration, debugging, and migration cost. A feature that never appears in your delivery workflow deserves zero influence.

A mixed organization can support both runners, but one repository should have an explicit default. Document where API tests live, who owns helpers, how secrets arrive, what constitutes cleanup, and which layer tests each risk. If candidates need practical preparation for such decisions, use the QA practice workspace to rehearse framework trade-off explanations rather than memorizing brand claims.

Common Mistakes

  • Treating HTTP success as business success. Assert the exact status, critical headers, domain fields, and persisted effect. A 200 body containing an error object is still a failed contract.
  • Using UI login for every API test. Authenticate through the supported token or session endpoint unless the login page itself is under test. This shortens setup and identifies the failing layer.
  • Sharing mutable accounts across workers. Allocate unique users or tenants, create records per test, and remove them through hooks or idempotent cleanup jobs.
  • Disabling Cypress status failures globally. Set failOnStatusCode: false on an expected negative request only. Otherwise an unexpected 500 may continue into misleading assertions.
  • Forgetting to await Playwright calls. Missing await can leave an assertion comparing a promise or allow teardown to begin before cleanup finishes. TypeScript and lint rules should flag floating promises.
  • Parsing before checking transport. Confirm status and content type first. An HTML gateway error passed to response.json() produces a parsing symptom that hides the real outage.
  • Confusing schema checks with contracts. A local Zod assertion validates one observed response. It does not coordinate provider changes across independently deployed consumers.
  • Using runner parallelism for performance claims. Functional workers neither generate controlled arrival rates nor produce reliable latency percentiles. Use a load-testing tool.
  • Logging secrets in reports. Redact authorization headers, cookies, reset links, and personal data before attaching request or response details.
  • Migrating without a representative trial. A ten-line GET test cannot reveal data isolation, authentication, reporting, or CI bottlenecks. Trial the hardest recurring workflow.

Troubleshooting

ECONNREFUSED 127.0.0.1:3001 -> Start json-server in a separate terminal and confirm the curl request succeeds. In containers, ensure the test process can reach the service hostname rather than assuming its own loopback is the host machine.

Playwright returns 404 for a relative URL -> Confirm use.baseURL is present in the loaded config and the path begins with /. Run npx playwright test --list from the directory containing the config.

Cypress fails before the negative assertion -> Add failOnStatusCode: false to that specific cy.request() options object. Do not suppress status failures across all tests.

Created records appear in later runs -> Put deletion in a reliable teardown path, use unique data, and add an environment cleanup job for runs interrupted before hooks execute. Verify cleanup with a direct GET query.

The API works in curl but fails in CI -> Inspect proxy settings, DNS, TLS trust, firewall access, and secret availability. Print only the safe host and request ID, never the token.

TypeScript cannot resolve shared schema imports -> Align moduleResolution, include the shared directory in tsconfig.json, and use the same export name in both specs. Run npx tsc --noEmit before runner execution.

Interview Questions and Answers

A strong interview explanation connects APIs to architecture. State how each runner executes requests, then discuss isolation, negative failures, authentication, and CI evidence. Avoid saying one tool is universally faster or better without workload measurements. The model answers in the structured interview section below provide concise versions you can adapt to your project.

Where To Go Next

Turn the proof of concept into one CI job per runner and collect install time, execution time, failure artifacts, and retry behavior. Add one realistic authenticated workflow, one malformed request, and one parallel data case before deciding.

Deepen the Cypress implementation with the cy.request API example. Expand cross-service coverage with API contract testing using Pact, and formalize fixtures through API test data management. These guides solve different layers, so adopt only the layer your risk requires.

Conclusion

Playwright vs Cypress for API testing comes down to execution model and ecosystem fit. Playwright is the stronger greenfield default for isolated clients, ordinary async TypeScript, and API-assisted multi-browser suites. Cypress remains a productive and economical choice when API checks belong inside an established Cypress workflow.

Build the same demanding scenario in both, run it in your CI environment, and score the evidence. The best framework is the one your team can isolate, debug, secure, and maintain while expressing the contracts that actually protect users.

Interview Questions and Answers

What is the main API-testing difference between Playwright and Cypress?

Playwright exposes APIRequestContext through async code and fixtures, while Cypress exposes cy.request() through its queued command model. Playwright makes several isolated clients explicit. Cypress integrates requests closely with its runner and browser cookie jar.

How would you test an expected 401 response in both tools?

In Playwright, I send the request, assert response.status() is 401, and inspect the safe error contract. In Cypress, I pass failOnStatusCode: false to that request before asserting response.status. I never disable failure behavior globally.

How do you prevent API tests from colliding in parallel?

I create unique resources per test or allocate tenants and accounts by worker. The test captures server-generated identifiers and performs idempotent cleanup. I also run a scheduled environment cleanup for records left by interrupted jobs.

When would you use Playwright storageState with API tests?

I use storageState when an API authentication step should establish cookies or local storage for a later browser context. For service-only authorization, I prefer explicit request contexts with scoped headers because the identity boundary stays visible.

Does Cypress retry a cy.request assertion until backend state changes?

A .then() callback does not repeatedly issue the entire request until an arbitrary business condition becomes true. For eventual consistency, I implement bounded polling with a clear interval and timeout or query a deterministic synchronization signal. I keep that behavior explicit so failures show the last observed state.

How do you validate an API response beyond its status code?

I verify content type, required headers, important domain values, and persistence through a follow-up read when appropriate. I use a runtime schema for structural guarantees and a contract tool when independently deployed consumers require compatibility checks.

Why should functional runners not be used for load testing?

Their workers, assertions, reporters, and retries create uncontrolled overhead and arrival patterns. They do not reliably model virtual-user pacing or latency distributions. I use a load tool for performance claims and keep Playwright or Cypress checks focused on correctness.

Frequently Asked Questions

Is Playwright better than Cypress for API testing?

Playwright is usually the better greenfield choice when API tests need isolated request contexts, multiple identities, or close integration with multi-browser workflows. Cypress can be the better organizational choice when a mature Cypress suite and team already exist.

Can Cypress be used for API testing without visiting a page?

Yes. A Cypress spec can call cy.request() and assert the response without calling cy.visit(). The spec still executes through the Cypress test runner and its command queue.

Does Playwright API testing launch a browser?

No browser is required when a test uses the request fixture or a standalone APIRequestContext. A browser context is useful only when the scenario intentionally shares cookies or storage state with page actions.

How do Cypress and Playwright handle 404 responses differently?

Playwright returns an APIResponse and lets the test assert its 404 status. Cypress cy.request() fails on error status codes by default, so an expected negative test must set failOnStatusCode to false for that request.

Can Playwright or Cypress replace Postman, Pact, or k6?

They can cover functional API checks, but they do not replace every specialized layer. Use contract tooling for provider-consumer compatibility, load tooling for controlled traffic, and security tooling for active security analysis.

Should API and UI tests use the same runner?

Use one runner when shared fixtures, authentication, reporting, and team ownership reduce maintenance. Split them when API testing has independent release gates, scale, language, or ownership requirements that a browser-centered runner cannot serve cleanly.

How should a team benchmark Playwright against Cypress?

Implement a representative authenticated workflow with setup, a negative response, cleanup, and parallel execution. Compare CI install and run time, failure diagnostics, retry behavior, isolation, and maintenance effort using your infrastructure.

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