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
Testing
"It works on my machine" is one of the oldest complaints in software development. With tests, the equivalent is "it passes locally but fails in CI." This pattern has specific, identifiable causes — and fixing them systematically makes your test suite dramatically more reliable. Why CI Is
Testing
Flaky tests are tests that pass sometimes and fail sometimes without any code changes. They're among the most damaging problems in a test suite — they erode trust in the entire test suite, slow down CI pipelines, and hide real failures behind noise. If your team regularly reruns tests
Testing
Distributed systems fail in ways you don't expect. Chaos engineering is the practice of intentionally introducing failures into your system to discover weaknesses before they cause production incidents. For microservices, it's not optional — it's how you gain confidence that your system actually works under
Testing
Snapshot tests are one of those testing tools that developers either overuse or underuse. They get added to every component by default, then blindly updated whenever tests fail — or they get avoided entirely by teams burned by maintenance overhead. The answer is in the middle: snapshot tests are genuinely useful
Testing
Snapshot testing works seamlessly in a local development environment but introduces specific challenges in CI/CD pipelines: snapshots may differ across operating systems, developers can't run jest -u in CI, and snapshot updates need to make it into the repository without blocking deployments. This guide covers the patterns
Testing
Snapshots that start as a safety net often become a maintenance burden. Test files fill with .snap files that nobody reviews. Developers run jest -u reflexively when tests fail. The snapshots grow to thousands of lines covering third-party component internals. This guide covers the practices that keep snapshot tests
Testing
Snapshot testing is one of Jest's most misunderstood features. Used well, it prevents accidental UI regressions with almost zero effort. Used poorly, it becomes a maintenance burden that developers mindlessly update without thinking. This guide covers everything React developers need to know about Jest snapshot testing — from the