9 articles in this category
Protocol stress testing isn't glamorous. You're not chasing edge-case bugs in a shiny new feature; you're trying to figure out if your system can surv...
You run a load test. Looks fine. Graphs are flat. Then the real incident hits—and everything falls over. Sound familiar? That's because your load gene...
You've run the stress tests. Graphs look green. Latency stays under the line. Then your system hits a real traffic spike—and collapses in seconds. The...
So you've built a protocol that handles normal traffic fine. But normal is a lie. The real question: what happens when demand explodes for ten seconds...
Picture this: your protocol stress trial finishes, green checkmark. But two hours later production starts glitching—latency climbs, nodes drop, users ...
Here is a scene you have probably seen: a cascade model detects a protocol violation, fires a recovery handler, and before the protocol has finished i...
You have a stress trial that runs every night. It spawns virtual users, hits your protocol endpoint, and ramps up until something falls over. The repo...
You've got two metrics. One says your protocol is fast. The other says it's unreliable. Which do you trust? volume and latency are not enemies—but the...
When you run a protocol stress trial, you probably assume each failure is a clean, independent event. A node goes down. A network partition happens. A...