Monitoring
AppDynamics APM for QA Teams: Performance Baselines, Business Transactions, and Load Testing Integration
Application performance monitoring has evolved from a purely operational concern into an essential tool for QA teams.
Performance Testing
Performance and load testing guides — measure, benchmark, and optimize your app before it hits production.
Latest
Testing
Artillery Distributed Load Testing: Worker Fleet and AWS Lambda
* Artillery uses YAML config files to define load scenarios and HTTP targets * artillery-pro / cloud mode distributes load across multiple worker machines * AWS Lambda backend lets you generate load without managing servers * Results from all workers are aggregated into a single report * Regression detection compares p95/p99 latency against baseline
Unity
Testing Unity Addressables: Asset Loading, Memory, and Build Validation
Unity Addressables is one of those systems that works fine in the editor and breaks in surprising ways in production builds.
GraphQL
Testing GraphQL Persisted Queries and Automatic Persisted Queries (APQ)
GraphQL persisted queries reduce payload size and improve security by replacing full query strings with short hash identifiers.
WebSocket
WebSocket Load Testing: Tools, Techniques, and Benchmarks
HTTP load testing is well understood. WebSocket load testing is not. Most teams either skip it entirely or discover their WebSocket server collapses at 500 concurrent connections only after a major feature launch. This guide covers the tools, metrics, and test scenarios that matter for WebSocket performance. Why WebSocket Load
Shift-Left Testing
Shift-Left Performance Testing: Catch Slowdowns Before They Reach Users
Performance problems discovered in production are the most expensive kind.
Testing
Stress Testing REST APIs with Locust: A Practical Guide
Locust is a Python-based load testing tool with a simple, expressive API.
Testing
Stress Testing vs Load Testing: Key Differences and When to Use Each
Performance testing is a broad discipline that includes several distinct test types — and confusing them leads to incomplete coverage.
Testing
Stress Testing with k6: Ramp-Up Patterns and Finding Breaking Points
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
Testing
Spike Testing with Gatling: Simulating Sudden Traffic Surges
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
Stress Testing Databases Under Concurrency: Connections, Locks, and Bottlenecks
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
Testing Multi-Tenant SaaS Applications: Isolation, Data, and Performance
Multi-tenant SaaS applications are among the most complex systems to test correctly.