Performance and load testing guides — measure, benchmark, and optimize your app before it hits production.
Load Testing
Getting a load test running on Flood takes less than 30 minutes if you have a JMeter plan ready. If you don't, this guide walks you through creating one. By the end you'll have run an actual flood and know how to read the results. Account
Flame Graphs
Flame graphs visualize sampled call stacks: wider bars = more time spent. Continuous profiling captures these samples always-on in production, enabling post-hoc analysis of performance incidents. This guide covers reading flame graphs, differential (diff) flame graphs for comparing before/after, and setting up Pyroscope or Parca for continuous profiling.
SpeedCurve
Continuous performance monitoring catches regressions after they reach production. CI/CD integration catches them before. By running SpeedCurve tests against every pull request and blocking deploys when performance budgets are breached, teams can prevent regressions from shipping in the first place. This guide covers SpeedCurve's API, GitHub Actions
SLA Testing
An SLA (Service Level Agreement) is only as valuable as your ability to verify it. Most engineering teams define SLAs, deploy to production, and then find out they're violating them from a customer complaint. That's not SLA management — that's reactive damage control. This guide
Edge Computing
Edge-native applications live and die by latency. When your app processes data at the edge — inside a retail store, on a factory floor, at a cell tower — a 200ms round trip to the cloud is catastrophic. Testing these systems requires a fundamentally different mindset than testing cloud-first applications.
Testing
Load testing is one of those disciplines where the ecosystem gap between runtimes is painfully visible. k6 runs JavaScript, Locust runs Python, Gatling runs Scala. If you are a .NET shop writing C# all day, reaching for a Python-based tool to test your ASP.NET service means learning a
Performance Testing
LoadView is Dotcom-Monitor's load testing product. The distinguishing feature: it uses real browsers — actual Chrome instances — rather than simulated HTTP traffic. That distinction matters more than it might seem, and it's worth understanding before you design your first load test. Why Real Browsers for Load
Performance Testing
Dotcom-Monitor has a lot of surface area. The platform covers uptime monitoring, full browser checks, transaction monitoring, and load testing — and the UI reflects all of that. If you try to understand everything before running your first check, you'll be reading documentation for an hour before monitoring
BlazeMeter
The biggest bottleneck in load testing isn't script writing—it's infrastructure.
Load Testing
Running load tests manually after every deployment is a discipline that erodes over time.
Testing Strategy
A system that works perfectly under ideal conditions but falls apart under load, partial failure, or dependency degradation is not production-ready. Resilience testing is the practice of deliberately exercising failure modes to verify that your system handles them correctly — degrading gracefully rather than cascading into total unavailability. This guide
Performance Testing
Synthetic monitoring (Lighthouse, Playwright) tells you how your app performs in a controlled environment. Real User Monitoring (RUM) tells you how it actually performs for your users—on their devices, their networks, their browsers, with their extensions installed and their CPU under load from 40 other tabs. These are different