Testing
Event-driven architectures are notoriously difficult to test. The fundamental challenge: your service publishes an event and returns immediately. The effect of that event — a record updated in another service, a notification sent, an inventory count decremented — happens asynchronously, possibly seconds later, possibly on a different server. Traditional request/response testing
Testing
Grafana Tempo is a cost-efficient, horizontally scalable trace backend built for the Grafana observability stack. It works well as a test-environment trace store because it's simpler to configure than Jaeger with external storage, integrates naturally with Prometheus and Loki, and supports TraceQL — a purpose-built query language for traces.
Testing
Tracing tells you what happened — testing tells you whether it should have happened. OpenTelemetry brings them together: instrument once, verify always. What OpenTelemetry Adds to Testing Classic unit and integration tests check return values. They miss latency, span counts, attribute correctness, and propagation across services. OpenTelemetry testing fills that gap
Testing
The idea: if your system emits traces and metrics in production, those same signals can power your tests in development. Observability-driven testing (ODT) treats telemetry data as first-class test assertions. The Problem with Classic Integration Tests A typical integration test: test('order placement succeeds', async () => { const res
Testing
Jaeger is CNCF's open-source distributed tracing platform. It stores, indexes, and visualizes traces — and its REST API makes it a natural assertion target for integration tests. This tutorial walks from zero to running trace assertions. Why Jaeger for Testing Jaeger is popular in test environments because: * Single-binary all-in-one
Testing
Helm charts are infrastructure code, and infrastructure code deserves tests. A broken chart reaches production when no one verifies the rendered YAML matches what Kubernetes actually needs. A values change silently removes a required environment variable. A dependency upgrade shifts a default that breaks a downstream service. Without tests, you
Testing
Shipping a container image without testing it is like deploying code without running tests. The image might contain known CVEs in its base layer, misconfigured file permissions, unnecessary packages that expand your attack surface, or missing dependencies that cause runtime failures. All of these are detectable before the image ever
Testing
When you're adding distributed tracing to your test environment, Zipkin and Jaeger are the two open-source tools you'll evaluate. Both capture traces. Both work with OpenTelemetry. The differences matter when you're writing test assertions and running traces in CI. Quick Comparison Feature Zipkin Jaeger
Testing
Playwright tests verify what the user sees. OpenTelemetry traces verify what the backend did to produce it. Together, they give you the most complete picture of correctness available: from browser click to database write. The Architecture Playwright test → browser action (click, form fill) → HTTP request to your API → [service A
Testing
A unit test tells you a function works in isolation. A distributed trace tells you whether it worked as part of a real request flowing through ten services. These two views are complements, not replacements — and modern testing stacks need both. Why Distributed Tracing Changes Testing In a monolith, a
Contract Testing
Contract testing and integration testing both verify that services work together correctly. They solve different problems, run at different points in the development cycle, and provide different types of confidence. Understanding when to use each — and how to use them together — is the key to effective microservice testing. What Each
Test Management
Test case management is the practice of organizing, tracking, and maintaining test cases throughout a product's lifecycle. Done well, it gives QA teams confidence that they've covered the right scenarios and gives stakeholders visibility into release readiness. Done poorly, it becomes a documentation burden that nobody