Machine Learning
ML models fail silently when their input data changes. A column that was never null suddenly has 30% nulls. A categorical feature gains new values the model was never trained on. A numeric distribution shifts because a upstream system changed its calculation. Data quality testing catches these problems before they
SRE
Disaster recovery plans that exist only in documentation are not plans — they're aspirations. The difference between a DR plan that works and one that fails during an actual disaster is whether you've tested it. This guide covers the three tiers of DR testing: tabletop exercises, game
Machine Learning
Offline evaluation tells you a model performs better on held-out data. Production A/B testing tells you it actually improves the business metric you care about. These are different questions, and sometimes they have different answers. A new recommendation model might have higher offline AUC but lower click-through rate in
Edge Computing
Edge data pipelines move sensor readings, video frames, and telemetry from edge nodes to the cloud in real time. The challenge isn't moving data — it's doing it reliably under adverse conditions: limited bandwidth, intermittent connectivity, constrained memory, and bursty traffic patterns. Testing edge pipelines means validating
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
5G
5G promises sub-millisecond latency for URLLC (Ultra-Reliable Low Latency Communications) use cases — remote surgery, autonomous vehicles, industrial automation. Testing applications that depend on these guarantees requires different tools and strategies than traditional web performance testing. This guide covers how to validate low-latency requirements, simulate 5G network conditions, and build tests
Embedded Systems
Embedded systems testing has a reputation for being painful — manual probe sessions, proprietary test frameworks, and tests that only run on physical hardware. Python and pytest change the equation. You can write expressive, maintainable tests that run against real hardware or simulators, integrate with CI, and give embedded teams the
Edge Computing
Edge computing pushes processing closer to the data source — sensors, cameras, local servers — rather than routing everything to a central cloud. The latency drops. The architecture complexity spikes. Testing becomes harder because your application now runs across dozens of distributed nodes with unreliable connectivity. This guide covers practical testing strategies
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
Testing
Sauce Labs provides cloud-based mobile testing on real iOS and Android devices with a focus on Appium integration and enterprise-grade reliability. This guide covers setup, configuration, and best practices for running your mobile tests on Sauce Labs. Sauce Labs Mobile Testing Platforms Sauce Labs offers two mobile testing platforms: Sauce
Testing
Every mobile testing conversation eventually hits the same question: should we test on real devices or emulators? The real answer is: both, for different things. But choosing wrong costs you either money (real devices when emulators would do) or bugs in production (emulators when real devices were needed). This guide
Testing
BrowserStack App Automate lets you run Appium and other mobile test frameworks against real iOS and Android devices in the cloud. No managing physical devices, no iOS provisioning pain, no Android fragmentation across 15 different devices in a drawer. This tutorial covers the full setup: uploading your app, configuring Appium