SQL vs NoSQL Databases: How to Choose
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
Testing that checks whether different parts of a software system, such as services, databases, and APIs, work correctly together.
Unit tests check small pieces of code in isolation. Integration tests go a level higher and verify that those pieces cooperate as expected, for example that an application can save a record to a real database, call a payment provider's test environment, or pass data between two services.
Consider a food delivery app. A unit test might confirm that a function calculates the delivery fee correctly, while an integration test would place an order through the API and check that the order is stored, the restaurant receives it, and a confirmation message is queued. Integration tests catch problems with configuration, data formats, and network calls that unit tests miss. They are slower and harder to maintain, so teams usually keep fewer of them than unit tests.
Continuous Integration and Continuous Delivery or Deployment: practices that automatically build, test, and release code changes.
Quality AssuranceThe process of ensuring software meets requirements and quality standards through planning, testing, and continuous improvement.
Unit TestingTesting individual pieces of code, such as functions or classes, in isolation to confirm they behave as expected.
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
What load testing is, how load, stress, spike and soak tests differ, and how to read results like percentiles and error rates before real traffic finds your limits.
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