Testing
Test Suite Speed Optimization: Profiling and Cutting Slow Tests
A test suite that takes 15 minutes to run is a test suite developers avoid running.
Performance
Latest
Swift
XCTest Performance Testing: measure Blocks, Baselines, and Metrics
XCTest includes a built-in performance testing API that lets you measure how long a block of code takes and compare it against a stored baseline.
Swift
Instruments Profiling for Test Optimization: Time Profiler, Allocations, and Leaks
Instruments is Apple's performance analysis tool included with Xcode. It attaches to a running process — including your test target — and records CPU usage, memory allocations, and retain cycles. When tests run slowly or your app leaks memory during a test run, Instruments shows you exactly where the time
Testing
Android Performance Testing: Macrobenchmark, Baseline Profiles, and Perfetto
App performance isn't tested — it's measured. Android's Macrobenchmark library gives you a framework for measuring startup time, frame rendering, and custom interactions on real devices. Baseline Profiles use those measurements to pre-compile critical code paths, and Perfetto lets you trace exactly what'
ScyllaDB
ScyllaDB Testing Guide: Cassandra Driver Compatibility, Shard-per-Core Testing & Performance Regression
ScyllaDB delivers Cassandra-compatible APIs with a rewritten Seastar-based engine that achieves dramatically higher throughput.
WebAssembly
Benchmarking and Profiling WebAssembly: Criterion, Wasmer, and Flamegraphs
WebAssembly performance is close to native — but "close" needs to be measured. Whether you're evaluating the overhead of crossing the WASM/JS boundary, comparing execution speed between runtimes, or profiling where your WASM module spends its time, you need specific tools: Criterion for Rust-level benchmarks,
CI/CD
Test Parallelization in CI: Strategies to Cut Pipeline Times by 80%
A 45-minute test pipeline kills developer productivity. By the time CI finishes, context has switched, the fix is forgotten, and momentum is gone.
Testing
Load Testing Best Practices 2026: Metrics, Scenarios, CI
Load testing is more than running a script and watching numbers. Done well, it gives you confidence in your system's behavior under real-world pressure.
Testing
Locust Load Testing: Python Performance Testing Tutorial
Locust is a Python-based load testing tool that lets you define user behavior as plain Python code.
Testing
k6 vs Locust: Comparing Modern Load Testing Tools
Both k6 and Locust are excellent modern load testing tools that replaced JMeter for many teams.
Testing
k6 vs JMeter: Which Load Testing Tool to Choose?
JMeter has been the go-to load testing tool for over two decades. k6 emerged as a modern alternative that trades JMeter's GUI and feature breadth for developer-friendliness and simplicity. Which one should you use? This comparison cuts through the noise. Quick Comparison Feature k6 JMeter Scripting
Testing
k6 Load Testing: Complete Getting Started Guide
Load testing tells you how your application behaves under pressure — before real users find out the hard way.