We Break Systems So They Don't Break in Production

Generic “performance testing” firms run load tests and call it resilience. The problem is that resilience is not about how your system behaves under load — it’s about how it behaves under failure. A system that handles 10,000 requests per second but falls over when a single Redis node fails isn’t resilient. It’s fragile at scale.

stresstest.qa was built on a single principle: the only way to know if your system recovers from failure is to inject failure and measure the recovery. Not to theorise about it. Not to model it. To break it, safely, and measure what happens.

What Makes Us Different

We are chaos engineers — not performance testers, not QA generalists, not consultants who write reports without running experiments. Every engagement produces measured data from real failure injection, not theoretical assessments from architecture diagrams.

• We run actual experiments. Every finding comes from a controlled failure injection with measured outcomes.
• We are production-safe. Over 200 experiments with zero uncontrolled incidents. Our blast radius controls, automated rollback triggers, and progressive failure escalation keep your systems safe.
• We deliver outcomes, not activities. Every engagement tracks MTTR, detection rates, and recovery success rates — not billable hours.

Our Expertise

Deep expertise in distributed systems, site reliability engineering, and infrastructure operations. Our team has built and operated systems serving millions of users. AWS, GCP, and Kubernetes certified. Contributors to open-source chaos engineering tools including LitmusChaos and Chaos Mesh.

We follow the Principles of Chaos Engineering — hypothesis-driven, controlled, progressive, and always with a defined blast radius. Adapted from Netflix’s chaos engineering methodology, refined across hundreds of experiments.