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Testing
Service meshes like Istio and Linkerd add a powerful layer of infrastructure between your microservices: traffic management, mTLS encryption, observability, and resilience features. But they also add complexity to testing. A service that works fine in unit tests may behave unexpectedly when running behind a mesh proxy. This guide covers
Testing
Retrying failing tests is a controversial topic. Critics say it hides flakiness and trains developers to ignore failures. Proponents say some level of retry is pragmatic in distributed test environments. Both are right — the answer is about when and how you retry. The Case Against Retries Automatic retries mask flaky
Testing
TDD, BDD, and ATDD are all test-first development approaches, but they differ in scope, audience, and tooling. Understanding these differences helps you choose the right approach for each situation — and many teams use all three together. TDD: Test-Driven Development TDD is a developer practice. You write unit tests before writing
Testing
You've identified a flaky test. You can't fix it right now — it's intermittent, the root cause isn't clear, and you have a release to ship. What do you do? Deleting the test loses coverage. Skipping it silently means the failure is invisible.
Testing
Test-driven development in React is more challenging than server-side TDD, but it's absolutely practical. The key is knowing which layer you're testing: component behavior, custom hooks, or integration between components. TDD Setup for React Modern React TDD uses React Testing Library (RTL), which tests components the
Testing
TDD promises better design, faster feedback, and confident refactoring. Many teams try it and find the opposite: slow development, brittle tests, and refactoring that breaks dozens of tests at once. Usually the problem isn't TDD itself — it's specific anti-patterns that undermine the practice. Anti-Pattern 1: Testing
Testing
Test-driven development (TDD) is a software development practice where you write tests before writing code. It sounds backwards at first — how can you test something that doesn't exist yet? But once you experience the feedback loop, it's hard to go back. TDD changes how you think
Testing
Microservices testing is fundamentally different from testing monolithic applications. When your system spans dozens of independently deployable services, a bug in one can cascade through the entire platform. This guide covers the testing strategies that actually work in production microservices environments. Why Microservices Testing Is Hard In a monolith, you
Testing
Backend TDD has a straightforward feedback loop: write a test for an endpoint or function, watch it fail, implement the minimum code to pass it. But the specifics matter — how you structure tests, what you mock, and where you draw boundaries between unit and integration tests. The Backend TDD Stack
Testing
A test suite developers trust is worth more than a large test suite developers ignore. Reliability — tests that pass when code is correct and fail when it isn't — is the foundational property. Everything else is secondary. This guide covers how to build that reliability from the start, and
Testing
When a test fails in a distributed system, the error message tells you what happened but not where. A 500 response from your API gateway might be caused by a timeout in service C, waiting on a database query in service B, initiated by a bad request from service A.
Testing
When teams develop microservices independently, the biggest risk is one team changing an API that another team depends on. Contract testing solves this — without requiring a shared test environment or coordinating release schedules. What Is Contract Testing? A contract is a formal specification of the interactions between two services: what