Testing
Shadow testing (also called traffic mirroring or dark launching) sends a copy of real production requests to a new version of your service alongside the production version. The new version handles the request but its response is discarded — users only see the response from the stable version. This lets you
Testing
Progressive delivery is the practice of gradually rolling out changes to users while automatically verifying that the release meets your quality standards at each step. Flagger is a Kubernetes operator that automates this process — it manages canary deployments, traffic mirroring, and A/B testing with automated analysis and rollback. Unlike
Testing
Feature flags (feature toggles) let you deploy code to production without activating it for users. They enable trunk-based development, gradual rollouts, and instant kill switches for problematic features. But they add complexity to testing: every flag creates branching code paths that each need to be tested. This guide covers best
Testing
A charter is the heart of structured exploratory testing. It defines what you're testing and why — without prescribing how. A debrief closes the loop, turning a tester's observations into shared knowledge. These two practices — charter writing and debriefing — are what separate disciplined exploratory testing from undirected
Testing
A/B testing and canary deployments both route subsets of users to different versions of your software. Both involve traffic splitting. Both let you compare two variants. But they solve fundamentally different problems and require different tooling, team involvement, and success criteria. Confusing the two leads to misapplied techniques: running
Testing
Locust is a Python-based load testing tool with a simple, expressive API. Unlike k6 (JavaScript) or Gatling (Scala/Java), Locust lets you write tests in plain Python — making it especially accessible for backend developers and data engineers already working in the language. This guide focuses on stress testing REST APIs
Testing
Performance testing is a broad discipline that includes several distinct test types — and confusing them leads to incomplete coverage. Two of the most misunderstood are stress testing and load testing. They sound similar, but they answer completely different questions. What Is Load Testing? Load testing verifies that your system performs
Testing
k6 is the go-to tool for modern stress and load testing. It uses JavaScript for test scripts, outputs structured metrics, and integrates cleanly with CI/CD pipelines. This guide focuses specifically on stress testing patterns — how to ramp up load, detect breaking points, and extract actionable data from the results.
Testing
Spike testing simulates sudden, dramatic traffic increases — a product launch going viral, a flash sale, or a marketing email hitting millions of inboxes simultaneously. Unlike stress testing (which ramps gradually), spike testing applies an immediate, extreme load increase to test instantaneous system response. Gatling is one of the best tools
Testing
Database layers fail in ways that application layers don't. HTTP servers can scale horizontally almost indefinitely — databases hit hard limits around connections, lock contention, and I/O capacity. Stress testing the database independently from the application reveals bottlenecks that composite API tests often miss. Why Database Stress Testing
Testing
SQL injection has been on the OWASP Top 10 for over a decade, and for good reason. A single SQLi vulnerability can expose an entire database — user records, payment data, passwords, internal configuration — to an attacker who knows nothing about your application beyond its login page. Despite widespread awareness, SQL
Testing
Audit logs are one of the most frequently under-tested components in production systems. Teams write careful tests for business logic, API endpoints, and database queries — but the logging subsystem that records who did what and when often goes untested until a compliance audit or security incident reveals that it doesn&