IoT testing from the device to the cloud, in one test.
IoT testing in ZeuZ runs the device, the companion app and the cloud in one test: a Python node on the hardware or gateway, Appium on the phone, REST and WebSocket checks on the API, and database assertions at the end. One flow, one report, evidence for every step.
IoT testing is the verification of a connected product across every layer it runs on: the device or firmware, the gateway and protocol, the companion mobile app, the cloud API and the data it lands in. ZeuZ tests all of them in one flow, with a Python-based node that runs on the device or beside it, Appium for the app, REST and WebSocket actions for the cloud and database assertions for the result.
Where IoT testing breaks today.
Firmware, app and cloud are tested by three teams with three tools, and the defect lives in the handoff none of them owns.
Field failures are connectivity failures, and the lab never tests what happens when the link drops and comes back.
The device is the one thing a SaaS testing tool cannot reach, so device checks stay manual and release day stays long.
How ZeuZ automates IoT testing.
- 01Test designProposes the device, app and cloud cases a firmware or app change needs, ranked by what the release touches.
- 02Test case creationDescribe the scenario in plain English, from device action to cloud result; ZeuZ writes it as one case.
- 03Test automationDevice steps through scripts on a Python node, app steps through Appium, cloud steps through REST, WebSocket and SSE actions, database checks at the end.
- 04Test executionRuns on nodes on the bench, on the gateway, on a Raspberry Pi-class device or in the lab, on a schedule or a firmware-build webhook.
- 05Reporting and analysisEvery step returns its evidence, so a failure says whether the device, the link, the app or the cloud broke.
- 06Test maintenanceApp UI changes come back as proposed repairs; device and API steps are versioned with the firmware branch.
Your team reviews what ZeuZ produced. Nothing joins the suite or runs without a person accepting it.
See it run on your application.
Watch a device, its companion app and its cloud API verified in one live run.
IoT testing tools across the stack.
ZeuZ Node is written in Python and runs on Windows, macOS and Linux, including Raspberry Pi-class devices, so a node can sit on the bench next to the hardware or on the gateway itself and execute scripts and shell commands during a run. Custom protocols are handled through Python scripting inside the test; the cloud side is tested through REST, SOAP, GraphQL, WebSocket and server-sent-event actions with authorization headers, client certificates and JSON schema validation.
Companion apps run through Appium on real Android and iOS devices, emulators and simulators, with ADB for device-level control, and results are asserted in PostgreSQL, MySQL, MariaDB, SQL Server, SQLite or MongoDB. Every layer runs in the same test case, and the report shows which layer failed, which is what IoT testing in one suite means in practice.
- Device side
- Python node on Windows, macOS, Linux and Raspberry Pi-class hardware; scripts and shell during a run
- Protocols
- REST, SOAP, GraphQL, WebSocket, SSE; custom protocols via Python
- Companion app
- Appium on Android and iOS, real devices and emulators, ADB
- Data
- PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB
- Triggers
- Manual, schedule, firmware-build webhook
- Deployment
- SaaS, on-premises, air-gapped lab
Runs where your code is allowed to be.
Hosted by ZeuZ, execution on your own machines.
Point the client at your own server.
Disconnected environments, scoped per engagement.
Runs inside Jenkins, GitHub Actions, Azure DevOps, CircleCI and Bitbucket; results into Jira, Slack and Teams.
Works in the same suite as.
Native and hybrid apps on real Android and iOS devices, emulators and simulators.
Mobile test automation →REST, SOAP, GraphQL, WebSocket and SSE actions with auth, schema validation and extraction.
API test automation →One case that crosses the device, the app, the API and the database.
End-to-end testing →Read next: IoT testing automation: how ZeuZ handles smart devices and protocols →Related: See pricing →
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