Testing - HelpMeTest (Page 33)

Testing

AWS Lambda Testing Guide: Unit and Integration Tests with Jest and pytest

Testing Lambda functions requires separating business logic from the Lambda handler. Unit-test the business logic with Jest or pytest (no AWS SDK needed), integration-test the handler against LocalStack or real AWS, and mock AWS SDK calls using jest.mock() or moto. The key insight: the Lambda handler is a thin

Testing

Automating Zendesk Testing: API, Triggers, and Support Workflow Validation

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 pile up over

Testing

Building an LLM Evaluation Framework from Scratch: Metrics, Datasets, and CI

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 to Build

Testing

ETL Testing Guide: Data Completeness, Transformation Accuracy, and Load Verification

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 loading.

Testing

HubSpot API Testing Guide: Testing CRM Integrations and Workflows

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 URL:

Testing

TruLens: LLM Observability and Evaluation for RAG Applications

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 Does TruLens

Testing

Snowflake Data Testing: dbt + Great Expectations for Data Quality

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 catch issues before

Testing

Testing Microsoft Dynamics 365: EasyRepro, Power Automate, and API 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 fails

Testing

LangSmith for LLM Tracing and Evaluation

LangSmith gives you production observability for LLM applications — full request traces, cost tracking, latency breakdowns, and human annotation queues. Combined with its evaluation layer, you can compare prompt versions, run automated evaluators, and catch regressions before they reach users. Why Tracing Matters for LLM Applications An LLM application isn'

Testing

Pandas Testing Best Practices: Testing Data Transformations with pytest

Testing pandas code requires different patterns than testing application code. DataFrames are complex objects—you rarely want to assert on the entire DataFrame at once. Instead, assert on specific columns, row counts, data types, and statistical properties. Use pytest fixtures for reusable test data, pandas.testing for DataFrame comparisons, and

Testing

Testing SSO and SAML Flows: SP-Initiated, IdP-Initiated, and Assertion Validation

SAML SSO testing requires testing both SP-initiated and IdP-initiated flows, SAML assertion validation (signature, conditions, audience), and error handling for invalid assertions. Most teams only test the happy path through the browser UI. This guide covers automated testing of SAML assertion handling, IdP simulation for integration tests, and the security

Testing

ServiceNow ATF Testing Guide: Automated Test Framework Deep Dive

ServiceNow's Automated Test Framework (ATF) is a built-in, no-license-required testing tool that supports UI tests, server-side script tests, and API tests. This guide covers ATF setup, test writing patterns, and CI/CD integration using the ServiceNow REST API. What Is ServiceNow ATF? The Automated Test Framework (ATF) is