Keploy as a hapi testing framework
Keploy tests hapi applications by recording real requests through the running server and every database or outbound call they trigger, then replaying both as assertions. Lifecycle extensions, Joi validation, and auth strategies all execute over a real socket.
keploy record -c "node dist/server.js"What Keploy gives a hapi team
Any hapi app, unchanged
Keploy runs your real entrypoint, so registered plugins, route prerequisites, and auth strategies all execute. Capture is at the socket rather than inside the server object.
- hapi 20 and above
- Plugins and route prerequisites
- Joi validation runs for real
- Auth strategies genuinely exercised
Why hapi 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.
Testing hapi: by hand, with Jest + supertest + nock, or with Keploy
server.inject enters the lifecycle of a server the test file assembled, so plugins from your entrypoint are missing. Keploy records the real process, so nothing is absent.
Select any row for the full comparison, with code.
What you write for hapi vs what Keploy records
All three produce the same assertion. Only the third still passes after the next refactor without anyone editing it.
request.pre is fabricated, so the prerequisite that would have loaded the order — and any authorisation it performs — never ran.
The lifecycle runs, which is the right idea — and it is the lifecycle of a server assembled here, so the auth strategy your entrypoint registers is missing.
The recorded case entered the lifecycle at onRequest and passed the real auth strategy and Joi validation before reaching the handler.
Times are estimates for authoring one endpoint’s coverage from scratch, not measurements.
hapi testing tools, compared
The options a team on Node.js actually reaches for, and where each one genuinely wins. Select a row for the full comparison.
Assessments reflect each tool’s documented behaviour, not benchmark measurements.
Record your hapi app once, replay it forever
Keploy sits below your hapi 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 hapi service and captures the dependency calls it makes.
What Keploy mocks for hapi, with zero config
7 of the 7 dependencies a typical hapi service talks to are stubbed from the recording itself — no mock classes, no fixture files, no containers in CI.
- Auto-mocked
PostgreSQLView page
Postgres frontend/backend protocol
- Auto-mocked
MySQLView page
MySQL wire protocol
- Auto-mocked
MongoDBView page
MongoDB wire protocol
- Auto-mocked
RedisView page
RESP over TCP
- Auto-mocked
Apache KafkaView page
Kafka producer and consumer protocol
- Auto-mocked
gRPCView page
HTTP/2 framed gRPC calls
- Outbound HTTPAuto-mocked
Outbound HTTP
Any HTTP client call the service makes
Your first hapi test suite in under five minutes
Every command below runs against your existing hapi service. Nothing in your source tree changes.
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 | bash2Record your service
Pass the command you already use to start the app. Keploy runs it and watches every socket it opens.
keploy record -c "node dist/server.js"3Exercise the paths you care about
Drive the running server. Every request becomes a test case with its database and HTTP calls captured alongside.
npm run buildcurl -X POST localhost:3000/orders/ord_1/confirm -H 'Content-Type: application/json' -H 'Authorization: Bearer $TOKEN' -d '{"paymentToken":"tok_123"}'4Replay in CI
Replay serves the recorded dependency responses, so the job needs no service containers and no Docker daemon.
keploy test -c "node dist/server.js" --delay 8
Ready to try it on your own hapi service?
Works with the rest of your hapi stack
Keploy records at the network layer, so framework and driver choices inside your hapi app do not change how it captures traffic.
Node.js
The runtime page covers driver-level coverage in depth.
Express
The framework page covers middleware-level capture.
TypeScript
Capture is source-agnostic; no transform to configure.
PostgreSQL
Driver traffic records at the protocol layer.
MongoDB
Wire-protocol capture with BSON types preserved.
Redis
Cache exchanges record in order.
Testing the rest of your stack
- Languages
Keploy as a Node.js testing framework
Replace nock registrations and in-memory database fixtures with tests recorded from the traffic your Node service already serves.
Read the guide - Frameworks
Keploy as a Express testing framework
Test the whole middleware chain, not a hand-built app instance — Keploy records real requests through your Express router and replays them.
Read the guide - Frameworks
Keploy as a Fastify testing framework
Test Fastify routes through the real server rather than app.inject, with schema validation and hooks genuinely exercised.
Read the guide - Frameworks
Keploy as a Koa testing framework
Test Koa routes through the real server rather than a fabricated ctx, with the whole middleware cascade genuinely exercised.
Read the guide - Databases
Keploy as a PostgreSQL testing framework
Record the Postgres frontend/backend protocol once and replay real result sets in tests — no container, no pg-mem, no schema to rebuild.
Read the guide - Databases
Keploy as a MongoDB testing framework
Mock MongoDB at the wire protocol — real documents, real BSON types, real aggregation results — without a mongod binary in CI.
Read the guide
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