Testing
DeFi protocols operate in an adversarial environment where attackers use flash loans, oracle manipulation, and sandwich attacks to drain value. Testing must simulate these attacks explicitly. Mainnet forking provides realistic state, Foundry's invariant tester verifies that core mathematical properties hold across arbitrary transaction sequences, and explicit attack simulations
Testing
The Controller Area Network (CAN) bus is the backbone of automotive electronics: every modern vehicle carries tens of ECUs communicating over it. Testing those ECUs requires understanding the CAN protocol, the diagnostic layer (UDS/ISO 14229), the tools available for sniffing and simulation, and how to automate test scenarios that
Testing
Embedded systems testing requires a different mindset than application testing — hardware may not be available, timing is critical, and failures can be physically dangerous. This guide covers unit testing embedded C/C++ with Unity and CppUTest, mocking hardware registers, emulating targets with QEMU, and wiring everything into a CI pipeline
Testing
Testing firmware on Raspberry Pi and microcontrollers bridges the gap between host-based unit tests and full hardware integration testing. This post covers pytest-embedded for Espressif targets, MicroPython test patterns, GPIO and serial interface testing, mocking hardware peripherals with a secondary controller, and building CI/CD pipelines that execute
AWS
Testing Lambda functions is different from testing traditional services.
Testing
Zendesk's REST API is comprehensive and well-documented, making automated testing straightforward. This guide covers testing ticket workflows, triggers, macros, webhooks, and third-party integrations — with CI-ready patterns for test isolation and cleanup. Why Test Zendesk Configurations? Zendesk accounts accumulate configuration debt: triggers, automations, macros, and views
Testing
Off-the-shelf eval frameworks (DeepEval, Ragas, TruLens) cover 80% of use cases. For the remaining 20% — specialized domains, proprietary metrics, internal tooling constraints — you need to build your own. This guide walks you through designing metrics, curating datasets, implementing an LLM judge, and wiring it all into CI. When
Testing
ETL testing verifies three things: all expected data was extracted (completeness), transformations produced correct output (accuracy), and the data was loaded without corruption or duplication (integrity). Each phase requires different testing techniques: reconciliation counts and checksums for extraction, sample-based assertions for transformation, and row count plus constraint checks for
Testing
HubSpot's v3 API uses standard REST/JSON, making it accessible to any HTTP testing tool. This guide covers testing contacts, deals, workflows, webhooks, and custom objects — with patterns for keeping tests isolated and fast. HubSpot API Overview HubSpot's v3 API is well-structured and consistent: * Base
Testing
TruLens is an open-source observability and evaluation framework for LLM applications. Its core contribution is the RAG Triad — three metrics (groundedness, context relevance, answer relevance) that together diagnose where a RAG pipeline breaks. Traces are stored locally or remotely, and a built-in dashboard makes debugging fast. What TruLens
Testing
Testing data quality in Snowflake requires both SQL-based tests (dbt works natively with Snowflake) and Python-based data validation (Great Expectations connects via the Snowflake SQLAlchemy adapter). Run dbt tests for schema and transformation validation, Great Expectations checkpoints for statistical and pattern-based assertions, and scheduled CI pipelines to
Testing
Dynamics 365 UI testing requires EasyRepro — Microsoft's open-source Selenium wrapper that understands D365's dynamic control IDs. This guide covers EasyRepro setup, Dataverse API testing, Power Automate flow testing, and integrating everything into CI. Why Dynamics 365 Testing Is Hard Testing Dynamics 365 with standard Selenium