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Keploy as a Axum testing framework

Keploy tests Axum services by recording real HTTP and database traffic from a running process, then replaying it as assertions. There is no test context to assemble and no framework wiring to change, because capture happens below the framework at the socket.

Generate Axum tests free
keploy record -c "./target/release/app"
18.4K+VS Code1.2M+300M+mocks created

What Keploy gives a Axum team

Any Axum service, unchanged

Keploy runs the Axum process unchanged. Routing, middleware and serialisation all execute on every recorded request, because capture is at the socket rather than inside the framework.

  • Any Axum version
  • Middleware runs unchanged
  • Routing and serialisation real
  • No plugin or adapter
The problem

Why Axum integration tests slow teams down

The friction is rarely the assertions. It is everything around them — spinning up dependencies, keeping mocks honest, and repairing tests after every refactor.

Three ways to do it

Testing Axum: by hand, with cargo test + tower::ServiceExt, or with Keploy

cargo test + tower::ServiceExt describes the exchange by hand and still needs the dependency supplied. Keploy records both halves once and replays them with nothing running.

Select any row for the full comparison, with code.

Same coverage, three costs

What you write for Axum vs what Keploy records

All three produce the same assertion. Only the third still passes after the next refactor without anyone editing it.

By hand2–4 hours
orders_test.rs
hand-written
use mockall::predicate::*;
 
#[tokio::test]
async fn confirms_an_order() {
// A generated trait mock: no driver, no rows, no decoding.
let mut repo = MockOrderRepo::new();
repo.expect_find()
.with(eq("o-1"))
.returning(|_| Ok(Order { total: 4200, status: "NEW".into() }));
 
let app = router(Arc::new(repo));
let res = app
.oneshot(Request::post("/orders/o-1/confirm").body(Body::empty()).unwrap())
.await
.unwrap();
 
assert_eq!(res.status(), 200);
}

The trait mock returns structs, so sqlx never prepares a statement.

cargo test + tower::ServiceExt1–2 hours
orders_wiremock_test.rs
tool-assisted
use wiremock::{Mock, MockServer, ResponseTemplate};
use wiremock::matchers::{method, path};
 
#[tokio::test]
async fn confirms_an_order() {
let server = MockServer::start().await;
 
// One mounted mock per outbound call, written by hand.
Mock::given(method("POST"))
.and(path("/v1/payment_intents/tok_123/confirm"))
.respond_with(ResponseTemplate::new(200)
.set_body_json(serde_json::json!({ "status": "AUTHORIZED" })))
.mount(&server)
.await;
 
// A real Postgres is still needed for the query half.
let res = call_confirm(&server.uri()).await;
assert_eq!(res.status(), 200);
}

cargo test + tower::ServiceExt serves the upstream. The database is still yours to run.

With Keploy~5 minutes
keploy/test-set-0/test-1.yaml
auto-generated
version: api.keploy.io/v1beta1
kind: Http
name: test-1
spec:
req:
method: POST
url: /orders/o-1/confirm
resp:
status_code: 200
body: '{"id":"o-1","status":"CONFIRMED","total":4200}'
assertions:
noise:
- body.confirmedAt
---
kind: Postgres
spec:
query: select id, total, status from orders where id = $1
rows:
- { id: "o-1", total: 4200, status: "NEW" }
---
kind: Http
spec:
request:
url: https://api.payments.example.com/v1/payment_intents/tok_123/confirm
response:
body: '{"status":"AUTHORIZED"}'

Recorded from one real request. Nothing here was typed by hand.

Times are estimates for authoring one endpoint’s coverage from scratch, not measurements.

Keploy vs the alternatives

Axum testing tools, compared

The options a team on Rust actually reaches for, and where each one genuinely wins. Select a row for the full comparison.

Best in classStrongPartialNot covered

Assessments reflect each tool’s documented behaviour, not benchmark measurements.

How it works

Record your Axum app once, replay it forever

Keploy sits below your Axum process at the network layer. It watches the calls your app already makes, then serves them back on replay so tests run with no dependencies attached.

Keploy records a GET call to /api/v1/orders/{id} on a Axum service and captures the dependency calls it makes.

Axum logo
Your Axum app
GET/api/v1/orders/{id}200
RecordingKeploy proxyeBPF · userspace
Outbound HTTP
Outbound HTTPEvery outbound HTTP call
SQLx logo
SQLxSQL beneath sqlx
An example shape of a captured call. Your own endpoints and dependencies come from your real traffic, so nothing here has to be written by hand.
Mock coverage

What Keploy mocks for Axum, with zero config

5 of the 5 dependencies a typical Axum service talks to are stubbed from the recording itself — no mock classes, no fixture files, no containers in CI.

Quick start

Your first Axum test suite in under five minutes

Every command below runs against your existing Axum service. Nothing in your source tree changes.

  1. 1Install the Keploy CLI

    A single binary. It needs a Linux kernel with eBPF support, or Docker on macOS and Windows — and it adds nothing to your project's dependencies.

    curl -sSL https://keploy.io/install.sh | bash
  2. 2Record your service

    Pass the command you already use to start the app. Keploy runs it and watches every socket it opens.

    keploy record -c "./target/release/app"
  3. 3Exercise the paths you care about

    Use curl, your frontend, or an existing smoke script. Every request becomes a test case with its Axum calls captured alongside it.

    curl -X POST localhost:3000/orders/o-1/confirm
    curl localhost:3000/orders/o-1
  4. 4Replay in CI

    Replay serves the recorded dependency responses, so the job needs no service containers and no Docker daemon.

    keploy test -c "./target/release/app" --delay 15

Ready to try it on your own Axum service?

Ecosystem

Works with the rest of your Axum stack

Keploy records at the network layer, so framework and driver choices inside your Axum app do not change how it captures traffic.

FAQ

Axum testing with Keploy: common questions

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