Service-level & integration testing
Per-service suites plus cross-service flows with contract validation at every seam — so a deploy to one service can't silently break three others.
Quality Engineering
Microservices, containers, managed queues, and serverless functions don't fail like monoliths: they fail partially, intermittently, and at the seams. Testing cloud-native systems means testing the architecture — resilience, scaling, and configuration — not just the features.
Independent quality engineering & cybersecurity since 2020 — 100+ security & quality engineers, delivering on platforms we build and run ourselves.
The failure modes that take cloud systems down — cascading timeouts, retry storms, mis-scoped IAM, autoscaling lag — are invisible to feature tests. They surface in production, at load, usually during your worst possible week.
Per-service suites plus cross-service flows with contract validation at every seam — so a deploy to one service can't silently break three others.
Timeout, retry, circuit-breaker, and degradation behavior tested by injecting the failures your architecture claims to survive.
Autoscaling behavior, cold-start costs, resource limits, and environment-config drift — verified, not assumed.
Event ordering, idempotency, exactly-once assumptions, and dead-letter handling across queues and streams.
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Architecture review: services, seams, and failure assumptions.
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Rank seams and failure modes by blast radius.
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Automated suites plus targeted failure-injection sessions.
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Retest after fixes; leave the suites running in your CI.
Engagement
Buy it as a scoped project, embed it in your team, or run it as a managed service — same engineers, same governance, whichever shape fits.
A defined piece of work with a fixed outcome — a test suite built, a release hardened, a backlog cleared — delivered by our team and handed over with documentation.
Our engineers work inside your sprint teams, on your tools and cadence, owning quality alongside your developers rather than testing from the outside.
We own the discipline as an ongoing service — coverage, execution, and reporting — scaling the bench up or down as your release pressure moves.
They fail partially and at the seams — cascading timeouts, retry storms, autoscaling lag. We test the architecture (resilience, scaling, configuration) by injecting the failures it claims to survive, not just the features.
Yes — orchestration and container configuration are part of the surface: resource limits, health checks, autoscaling behavior, and the failure modes that only appear under real load and partial outage.
Senior engineers from our own bench — 63% hold industry certifications (CISSP, CEH, eCPPT, ISTQB, AWS). The people who scope your engagement are the people who run it; there is no rotating offshore bench behind the proposal.
This is one stage of a single assurance loop: findings become regression tests, and their indicators become live detections — so a problem, once fixed, can’t quietly come back. That’s what you get from one integrated partner that a stack of separate vendors can’t. See how the loop connects →
Walk through your suite, coverage, and release cadence with a QE lead.