Embedded Testing
Over-the-air firmware updates are one of the highest-risk operations an embedded device performs. A failed update that leaves a device in an unbootable state — especially at scale — is an operational catastrophe. Yet most teams test OTA by manually pushing one update to one device and watching it
Security
IoT devices are deployed everywhere — homes, factories, hospitals, infrastructure — and they're notoriously insecure. Default passwords, unencrypted communications, and insecure OTA updates have led to massive botnets and data breaches. Security testing for IoT requires different techniques than web application testing. This guide covers the fundamentals of IoT security
Testing
Hardware-in-the-Loop (HIL) testing sits between pure simulation and real-world testing. The actual production hardware runs real firmware, but its environment — sensors, actuators, and physical processes — is simulated. This gives you the accuracy of hardware testing with the speed and controllability of simulation. This guide covers HIL
Testing
Edge computing moves processing closer to data sources — factory floors, retail stores, vehicles, and remote sites. This creates testing challenges that don't exist in cloud systems: intermittent connectivity, diverse hardware, offline operation, and synchronization conflicts. This guide covers the unique testing challenges of edge computing and practical strategies
Testing
MQTT is the backbone of most IoT systems — lightweight, broker-based, designed for unreliable networks. Testing MQTT is different from testing REST APIs: you're testing asynchronous publish/subscribe flows, quality of service levels, retained messages, and broker behavior under load. This guide covers practical MQTT testing strategies from
Testing
Testing IoT firmware is hard. You need hardware that may be scarce, expensive, or not yet manufactured. A device crash takes seconds to reproduce but hours to debug without proper tools. Simulators change this equation — they let you run firmware tests on any CI server without touching real hardware. This
IoT
IoT devices fail in ways that software-only systems never do. Firmware bugs can brick hardware. Protocol mismatches cause silent data loss. Power cycling under load reveals race conditions that unit tests miss entirely. Testing IoT devices requires a different mindset and a different toolchain. This guide covers the full
IoT
AWS IoT Core and Azure IoT Hub are the two dominant managed IoT platforms. Both abstract away the infrastructure complexity, but they introduce new testing challenges: device provisioning flows, message routing rules, device shadows/twins, and serverless processing functions. This guide shows you how to test these integrations without sending