StackGuard is the work of Avonet — the team that has shipped over a hundred enterprise software products. The same engineers running your assessment have spent careers building, scaling, and hardening systems for tier-1 buyers. avonet.com.au →
Four outputs. Zero ambiguity about what to fix, in what order.
Enterprise Readiness Score
A single 0–100 number, broken down across six dimensions. No subjective grades, no opinion gaps.
- Six-dimension breakdown: Security, Architecture, Scalability, Code Quality, DevOps, Compliance
- Weighted scoring tied to enterprise procurement criteria
- Status verdicts: Ready · Needs Hardening · Not Ready
- Score deltas across re-audits, so you can show progress
Real Load & Stress Testing
We don't guess your scale ceiling — we hit your system with real traffic and measure where it breaks.
- Synthetic load generated with k6 and Locust, ramped 0 → target
- p50 / p95 / p99 latency, error rate, and saturation curves
- Exact concurrent-user breaking point, with the failing component named
- Database, queue, and external-API bottleneck isolation
Architecture Validation
A senior tech lead reviews your system design — not a tool, not a checklist. The kind of review you'd get from a Principal Engineer at a tier-1 buyer.
- Coupling, cohesion, and boundary review (services, modules, data layer)
- Failure-mode analysis: what happens when X dies?
- Scalability ceiling per component, not just the whole system
- Written architecture diagram with risk callouts
Actionable Remediation Plan
Every finding ships with effort, business impact, and order. You leave with a backlog you can hand to engineering on Monday.
- Severity × effort matrix, prioritised by business risk
- Per-issue: estimated dev-days, dependencies, and proof-of-fix
- Quick-wins and structural fixes split into separate tracks
- Investor / buyer-readable summary, separate from the engineering version
Four layers of analysis. Industry-standard tools. Senior-engineer judgment.
We don't reinvent the security or scalability wheel. We combine the tools your buyer's security team already trusts, against the standards their procurement gate already uses, with a senior tech lead doing the judgment calls a tool can't.
Static analysis & dependency scanning
Custom Semgrep rule packs catch AI-generated patterns: hallucinated imports, copy-pasted-but-mutated code, missing error paths, unsafe defaults. We dedupe and triage every finding before you see it.
Load, stress, and soak testing
Scripted ramps from 0 to 2× expected peak, with a soak phase to surface memory leaks and slow-burn degradation. We isolate bottlenecks across DB, queue, and external APIs — and tell you exactly which subsystem fails first.
Architecture & failure-mode review
A senior engineer reads the system the way a Principal Engineer at your buyer would. Coupling, boundaries, data flow, recovery paths. We document the architecture as we find it, not as the README claims.
DevOps, infra & compliance baseline
IaC, container, and CI/CD review. We map your current posture against SOC 2 and CIS baselines so you know exactly what blocks an enterprise procurement gate — and what doesn't.
Four moments where “it works on staging” stops being good enough.
AI-native startups shipping their first enterprise deal
You won a Fortune-500 pilot. Their security team wants a written architecture review and a load-test report. You need it in a week, and you can't fail the procurement gate.
Enterprises shipping rapid AI builds
An internal team built a customer-facing app in 6 weeks with AI tooling. Legal, security, and platform engineering each want different answers. You need one report that satisfies all three.
CTOs preparing for the next 10×
Traffic is doubling every quarter. You suspect the system breaks somewhere between 200 and 1,000 users, and your team disagrees on where. You want a number, not opinions.
Investors and acquirers doing technical DD
You have a term sheet on the table. The codebase is heavily AI-generated, the founders say it scales, and your in-house technical advisor doesn't have a week to read it. You need an independent verdict.
Other tools tell you the code looks fine. We tell you whether it ships.
We handle your code like your buyer's security team will.
NDA-first, always
Mutual NDA + scope-of-work signed before any access is granted. Your code, findings, and report are confidential by default — we don't use them as case studies without explicit written consent.
Read-only access by default
GitHub App with read-only permissions, or one-time encrypted ZIP upload. We don't need write access, deploy keys, or production credentials to deliver the assessment.
No production access required
Load and stress testing run against a staging environment we provision together. We never touch production data, customers, or live infrastructure unless you explicitly request it.
No secrets, ever — and we check
gitleaks runs across full git history during scan. Anything sensitive is flagged, not stored. Reviewer access is scoped, audited, and revoked the day the report is delivered.
Encrypted at rest and in transit
All artifacts (code, scan output, reports) are encrypted at rest with AES-256 and in transit with TLS 1.3. Stored in private, region-restricted infrastructure on managed cloud providers.
Deletion on request, retention by default
We retain artifacts for 90 days by default to support re-audit credit and follow-up questions, then delete. You can request immediate deletion at any time and we confirm in writing.
Three depths.
Pick the depth that fits the moment. Flat fee, no surprises.
A clear readiness score and a written audit. For teams who want a credible baseline before they go further.
Find out where
your system breaks.
Tell us about your stack. We'll send a scoped proposal and a clear plan for your readiness report.
- NDA + scope-of-work signed before any access
- Read-only repo access, no production credentials
- Senior tech-lead reviewing — not a junior, not a tool