Performance & FMEA Suite
Quantify system limits and failure modes before production discovers them for you.
An integrated performance-testing and failure-mode-and-effects-analysis toolkit that combines load generation, chaos experimentation and structured risk assessment into a single repeatable process. Built for teams operating in regulated industries where capacity planning and resilience evidence are not optional.
Key Features
Scenario-Based Load Testing
Parameterised load-test suites modelling real-world traffic patterns including peak-day surges, batch overlaps and gradual ramp profiles, executable from CI/CD or on demand.
Chaos and Fault-Injection Experiments
Pre-built experiment packs for common failure scenarios such as dependency latency injection, pod eviction, zone failover and message queue back-pressure, integrated with safety abort conditions.
FMEA Risk Register
Structured failure-mode-and-effects-analysis templates that link identified risks to specific services, quantify severity and detection scores and track mitigation actions through to resolution.
Capacity and Resilience Reporting
Automated generation of capacity-planning reports and resilience evidence packs suitable for architecture review boards, regulators and operational-readiness assessments.
Use Cases
Pre-launch resilience assurance for a core-banking migration
BankingExecuted 14 failure scenarios and sustained-load tests across the end-to-end payment path, producing evidence that satisfied the bank's operational-readiness gate and PRA expectations.
Capacity planning for a Black Friday-scale retail platform
RetailModelled 10x traffic surges across checkout, inventory and payment services, identifying three auto-scaling bottlenecks that were resolved before the peak trading window.
FMEA-driven architecture review for a trading platform
Capital MarketsConducted a structured FMEA across 22 services, identifying eight single-points-of-failure and producing a prioritised remediation roadmap adopted by the architecture review board.
Technical Stack
Deliverables
- →Load-test suite and traffic profiles(k6 scripts and configuration)
- →Chaos experiment library(Chaos Toolkit experiments and safety policies)
- →FMEA risk register(Structured spreadsheet and linked Jira issues)
- →Capacity and resilience evidence pack(PDF report and supporting data)
Expected Programme Outcomes
4–8 weeks
saved on load-test and FMEA setup
50–70%
faster capacity validation cycles
45–65%
fewer undetected failure modes
3–6 months
of testing rework avoided
65–75%
faster capacity planning decisions
Prerequisites
- →Non-production environment representative of production topology
- →Observability stack in place (metrics, logs and traces)
- →Identified critical user journeys or transaction flows to test
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