Search Results for "building"

The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its...

The AWS SigV4 Library is a standalone library for generating authorization headers and signatures according to the specifications of the Signature Version 4 signing process. Authorization headers are required for authentication when sending HTTP requests to AWS. This library can optionally be used by applications sending direct HTTP requests to AWS services requiring SigV4 authentication. This library has no dependencies on any additional libraries other than the standard C library. This...

The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client...

A minimalistic test framework written in C++ providing scenario based, stateful acceptance testing where application user interface is mocked using test stubs. Refer to Sample.cpp for usage guidance. The sample defines a simple application class, fake user interface implementing the same abstract interface as the application requires, a test context to hold test state and pass it on among steps, and a few test steps. It then adds all the test steps to a test scenario. Then the default() main...

SmartTester is a Java based test automation framework, where you can remotely manage and run tests. Furthermore the framework returns a result file. To use a test against different DUTs you can create multiple datasets with arguments.

Tests run in a deterministic manner. Allow for reusable test building blocks. Test output is compared to the baseline expected value. New tests can be added without writing new code.