Chaos Engineering
& Resilience Testing
Your system looks fine — until it doesn't. stresstest.qa is a chaos engineering consultancy that injects real-world failures into your infrastructure before your users find them. We break things in staging so they survive in production.
Resilience Engineering. Not Hope-Based Operations.
Controlled Failure Injection
We don't guess at failure modes — we reproduce them. Network partitions, node failures, dependency outages, and resource exhaustion, executed safely against your actual infrastructure with kill switches at every stage.
Recovery Time Measurement
MTTR is meaningless until you measure it under real failure conditions. Every chaos experiment produces hard numbers: time to detect, time to mitigate, time to recover, and time to full service restoration.
Production-Safe Methodology
Our blast radius controls, automated rollback triggers, and progressive failure escalation mean chaos experiments run safely even against production workloads. We have never caused an uncontrolled outage.
Audit-Grade Reporting
Every experiment is documented with hypothesis, procedure, observation, and findings — structured for SOC 2, ISO 27001, and enterprise procurement review.
Fixed-Scope. Controlled. Measured.
Every service is a named sprint with defined blast radius, clear success criteria, and a resilience report delivered in days.
Resilience Assessment
3-day architecture review mapping your system's failure modes, single points of failure, and recovery gaps — your entry point to chaos engineering.
Learn more →Chaos Engineering Sprint
5-day controlled failure injection — network partitions, node failures, dependency outages — with full recovery measurement and remediation plan.
Learn more →Disaster Recovery Validation
Full DR scenario simulation — region failover, database recovery, backup restoration — proving your disaster recovery plan works under realistic conditions.
Learn more →Kubernetes Resilience Testing
Kubernetes-specific chaos — pod failures, node drains, network policies, control plane stress, and StatefulSet recovery validation.
Learn more →Dependency Failure Testing
Systematic testing of your system's behaviour when third-party APIs, databases, caches, and message queues fail, degrade, or respond slowly.
Learn more →GameDay Facilitation
Facilitated failure simulation exercises where your engineering team responds to injected incidents in real time — testing people and processes, not just systems.
Learn more →Resilience Engineering Retainer
Ongoing chaos engineering programme — monthly experiments, continuous resilience measurement, and quarterly GameDays — building resilience as a practice.
Learn more →Industries We Serve
Resilience testing applies everywhere uptime matters — but some sectors face higher stakes than others.
SaaS & Cloud-Native
Resilience testing for multi-tenant SaaS platforms where a single failure can impact thousands of customers simultaneously and SLA breaches carry financial penalties.
See more →Fintech & Payments
Chaos engineering for payment processing, trading platforms, and financial APIs where downtime means failed transactions, regulatory exposure, and direct revenue loss.
See more →E-Commerce & Marketplace
Resilience validation for platforms that cannot afford downtime during peak traffic - flash sales, seasonal events, and marketplace operations where minutes of outage mean measurable revenue loss.
See more →Healthcare & Life Sciences
Disaster recovery and resilience validation for health platforms where system downtime can delay patient care and regulatory compliance requires demonstrated business continuity.
See more →Gaming & Real-Time
Chaos engineering for real-time systems - multiplayer servers, live streaming, and event-driven architectures - where latency spikes and connection drops are immediately visible to users.
See more →From the Blog
Chaos engineering field notes — real experiments, real data.
Know Your Blast Radius
Book a free 30-minute resilience scope call with our chaos engineers. We review your architecture, identify your highest-risk failure modes, and recommend the experiments that will give you the most signal.
Talk to an Expert