Service Pillar 07 of 07

Ship with confidence. Break things on purpose — before your users do.

Manual rigor. Automated velocity. Chaos by design. We build and execute testing strategies that cover every layer of the stack — from functional correctness to production resilience at scale. Healthcare, finance, telecom — where a defect isn't a bug report, it's a compliance incident.

What we do

Seven testing disciplines. Every one battle-tested across regulated verticals where "it works on my machine" doesn't survive audit season.

Manual testing

Exploratory testing, UAT facilitation, regression suites, edge-case hunting by senior QA engineers who understand the domain. Not checkbox testers — investigators who find the bugs your automation can't imagine. HIPAA PHI workflows, PCI cardholder flows, and telecom provisioning paths tested by people who know what's at stake.

Test automation

End-to-end, integration, and unit test frameworks wired into CI/CD so every commit is validated before merge. Selenium, Playwright, Cypress for UI. Pytest, JUnit, TestNG for services. Contract testing with Pact. API testing with Postman/Newman and k6. We don't just write tests — we build sustainable test architectures that your team maintains long after we leave.

Performance testing

Load, stress, soak, and spike testing that mirrors real production traffic patterns. JMeter, Gatling, k6, Locust — instrumented with APM correlation so you know exactly which service buckles first. Capacity planning models backed by data, not guesses. SLA validation under realistic concurrency for regulated workloads.

Chaos engineering

Controlled failure injection in staging and production. Litmus, Gremlin, Chaos Monkey — pod kills, network partitions, AZ failures, latency injection. We design game days with runbooks, blast radii, and kill switches. Your team learns how the system actually fails — not how the architecture diagram says it should.

Security testing

SAST, DAST, SCA, and penetration testing integrated into the development lifecycle. OWASP ZAP, Burp Suite, Snyk, Semgrep — shift-left security that catches vulnerabilities before they reach staging. Threat modeling sessions. Compliance-specific security validation for HIPAA, PCI DSS, and SOC 2 control requirements.

Disaster recovery testing

RTO and RPO validation through controlled failover drills — not theoretical documentation. Database failover, cross-region switchover, backup restoration, and data-integrity verification under realistic conditions. Quarterly DR runbook execution with timing, gap analysis, and executive-ready reports. Because an untested DR plan is a wish list.

Scalability testing

Horizontal and vertical scaling validation under production-like traffic ramps. Auto-scaler tuning, database connection pool limits, message queue throughput ceilings, and CDN cache-hit ratios under load. We find the bottleneck before your customers do — and hand you a capacity model with headroom projections for the next four quarters.

How an engagement runs

Four phases. No surprises. Every phase ends with a deliverable you can take in-house if you choose to part ways.

PHASE 01

Assess

Two-week deep dive into your current testing landscape. We audit coverage gaps, tool sprawl, CI/CD integration maturity, and environment parity. Output: a written Quality Engineering Assessment with a risk-ranked roadmap.

PHASE 02

Design

Test strategy document — not a slide deck. Framework selection rationale, environment architecture, data management approach, coverage targets by tier (unit/integration/E2E/chaos), and automation ROI model. Reviewed by your leads before we write a single test.

PHASE 03

Implement

Embedded execution. We build the frameworks, write the tests, wire the pipelines, and run the first chaos game day — alongside your team. Knowledge transfer happens in real time through pairing, not handoff docs.

PHASE 04

Operate

30/60/90-day stabilization. Your team owns the test suites; we review results, tune flaky tests, refine thresholds, and run the second game day. By day 91 your quality engineering practice is self-sustaining.

Technologies in our daily kit

Tooling we use in production every week. Not a marketing matrix — these are what's actually running on the engagements we ship.

Selenium
Playwright
Cypress
Pytest
JUnit
TestNG
Postman / Newman
Pact
k6
JMeter
Gatling
Locust
Litmus Chaos
Gremlin
Chaos Monkey
OWASP ZAP
Burp Suite
Snyk
Semgrep
SonarQube
Allure
TestRail
Appium
Grafana k6 Cloud

Selected work

Three representative engagements. Names anonymized; outcomes verifiable on request under NDA.

Healthcare HIPAA Test automation

Full-stack test automation for EHR integration platform — Fortune 500 health system

Problem
Manual regression cycles taking 3 weeks per release across 14 FHIR-integrated services. Release cadence stuck at quarterly. Three compliance findings traced to untested edge cases in PHI data flows.
Approach
Playwright E2E suite covering 340 critical paths. Pact contract tests between all FHIR service boundaries. Synthetic PHI test data generator compliant with de-identification rules. All wired into GitHub Actions with Allure reporting and Slack alerting on failure.
Outcome
Regression cycle 3 weeks → 4 hours. Release cadence quarterly → bi-weekly. Zero compliance findings related to test coverage in the next two audit cycles. 92% automated coverage on PHI-touching paths.
Finance Chaos engineering DR validation

Chaos engineering program and DR validation — Tier-1 payments processor

Problem
DR plan existed on paper but had never been executed end-to-end. RTO target was 4 hours; actual recovery time unknown. Board-level risk flagged after a competitor's publicized outage. Chaos engineering was discussed but never implemented.
Approach
Designed and ran first-ever full DR drill: database failover, cross-region traffic reroute, Kafka consumer group rebalance, and payment reconciliation validation. Built a Litmus-based chaos practice: weekly automated pod-kill experiments, monthly AZ failure simulations, quarterly full game days with executive observation.
Outcome
Actual RTO measured at 6.5 hours on first drill (vs. 4-hour target). After three iterations: RTO down to 47 minutes. Five critical single-points-of-failure discovered and eliminated. Board risk item closed. Chaos practice now self-run by internal SRE team.
Telecom Performance Scalability

Performance and scalability validation for 5G provisioning platform — Tier-1 carrier

Problem
New 5G subscriber provisioning system untested under production-scale load. Launch deadline in 8 weeks. No performance baselines, no auto-scaling configuration, no capacity model. Previous launch of a similar system had caused a 6-hour outage on day one.
Approach
k6 + Gatling load test suite simulating 200K concurrent provisioning requests. Soak tests at 2x projected peak for 72 hours. Database connection pool tuning, HPA threshold optimization, and CDN cache-warming strategy. Scalability model built from observed inflection points.
Outcome
Identified and resolved 4 scaling bottlenecks before launch (connection pool exhaustion, Kafka partition imbalance, GC pause clustering, DNS TTL misconfiguration). Launch day: zero incidents. System handled 3.2x projected peak with 340ms p99 latency. Capacity model projected headroom through Q4 validated within 8%.

Ready to test like it matters?

A 30-minute call, a senior QA architect, no slides. We'll tell you within the first conversation where your testing gaps are and whether we can close them.