Before the lab existed, the only option was to push directly to a live accredited platform.
I was deploying a commercial application to Game Warden — Second Front's accredited hosting platform — and the process went like this: tailor a container image, submit it to the admission pipeline, wait for the review, get a rejection, fix the issue, resubmit, wait again. Every image rejection, every policy failure, every missing service dependency was discovered against the real platform's review cadence and queue.
A single open-source project management application produced weeks of sequential failures. Each one was individually straightforward — a container running as root, a base image with too many CVEs, a managed service the enclave didn't offer. None were surprises in hindsight. But they were discovered one at a time, against a pipeline with its own timeline, and the cost in elapsed time was extraordinary relative to the engineering difficulty.
That experience is why the lab exists. It was not built to a business plan. It was built because I needed it and it didn't exist.
What the Big Bang Kubernetes lab is
Millabs operates a private Big Bang instance — Istio service mesh, Kyverno policy enforcement, hardened image baselines — the same hardened Kubernetes substrate underlying Platform One's Party Bus and most DoW program-office environments.
Candidate products are deployed into it before anyone writes an authorization artifact. Policy admission failures, image findings, missing managed services, sidecar and mTLS conflicts, and prohibited egress surface as reproducible test results in week one — rather than as a rejection at an authorization gate in month seven.
What the lab is not
It is privately operated and unaccredited. It carries no USG authorization, holds no ATO, and is not an accredited environment. Nothing about a successful deployment in it constitutes approval by anyone. Its findings carry no evidentiary weight with an authorizing official.
That is the correct arrangement, and it is the point.
Failures in an unaccredited lab cost you a week. The same failures discovered at an authorization gate cost you a review cycle, a POA&M, and your sponsor's patience.
The lab is a proving ground, deliberately outside any accreditation boundary, which is what makes it a safe place for a product to fail. No government data, CUI, or restricted-use data is accepted into it.
Millabs is not a 3PAO and does not perform independent assessments. This is engineering work, and the point of finding a defect is to fix it.
What pre-authorization testing on the hardened baseline catches
Products arriving from commercial environments reliably encounter some combination of these failure classes:
Policy admission. Containers running as root, privileged mode, missing securityContext, hostPath mounts, unbounded resource requests. Kyverno rejects the pod before it starts — and until you've deployed against the actual baseline, you can't know how many of these your application has.
Image provenance. Base images with vulnerability counts no authorizing official will sign. The right hardened base image depends on your runtime, your target environment, and your patching cadence.
Missing managed services. The enclave has no managed SQL, no S3, no managed cache. Your data layer assumes all three. Each missing service needs a containerized replacement — a known pattern, but invisible from reading your application's documentation.
Service mesh incompatibility. Sidecar injection breaking your networking assumptions, mTLS conflicts, health check and readiness probe failures. Istio's Envoy proxy sits between every inter-service connection, and applications that didn't design for it break in specific, diagnosable ways.
Egress violations. Outbound calls to license servers, telemetry, package registries, and external APIs that will never be permitted. Each one must be redirected or disabled.
Crypto and storage assumptions. Non-FIPS libraries, storage classes and persistence models that don't exist on the target.
Code quality gates. Some target platforms require static analysis scans as part of their process. The fit study identifies whether the target platform requires this and scopes what a scan would produce — but remediating application code is the vendor's engineering team's responsibility.
A typical commercial application produces 20–30 findings across these categories. Every one of them is cheap to find in the lab and expensive to find at an authorization gate.
The math
Without the lab, findings are discovered sequentially — each one triggering a fix, a rebuild, a resubmission, and a wait for the next review cycle. On a recent deployment, 7 serial runtime findings surfaced one at a time — each invisible until the previous fix was in place. On a target platform without the lab, each of those findings is a submission-rejection-fix cycle at the platform's own review cadence: 1–3 weeks per finding, or 7–21 weeks of calendar delay.
Put a dollar figure on that delay. A 5-person engineering team at GSA Schedule rates (~$175/hr for cleared DevSecOps) costs roughly $35,000/week. Seven weeks of delay is $245,000 in team idle cost. Twenty-one weeks is $735,000. And those are government rates — cleared engineers on the commercial market bill $200–$325/hr.
With the lab, the same findings are cataloged in a single deployment attempt in week one. The difference is not engineering effort — the remediation work is the same either way. The difference is whether you spend months learning what the problems are, or days fixing problems you already know about.
The same deployment revealed another cost: 685 CVEs in the upstream container image that would each require a security impact statement for the authorization package. Over a 5-year ATO lifecycle, that's an estimated $940,000 in documentation labor at GSA rates. A base image rebuild eliminated all 685 — reducing the 5-year obligation to $0.
Two limits worth naming
It is a proxy, not a replica. The lab runs high-fidelity Big Bang infrastructure — which means findings are reliable for Big Bang-derived platforms like Platform One's Party Bus and most program-office deployments. Game Warden is a distinct platform, not Big Bang, and the report treats it as such. What the lab reliably catches is the large majority of failures that are baseline-driven rather than site-specific. Site-specific configurations in the actual target environment may produce additional findings.
It does not replace the authorization process. The lab identifies and scopes the technical work. The authorization itself — the AO's decision, the artifact review, the gate sequence — happens on the actual platform with the actual authorizing body. What the lab does is make sure you arrive at that gate with a clean product and no surprises.
Why test your application before Platform One
If you're a commercial software company with a government customer who wants your product in an authorized environment, you have two paths:
- Push directly to the target platform and discover failures against its review pipeline over months.
- Deploy against the hardened baseline in a lab first, catalog every failure in a week, scope the remediation, and arrive at the target platform with a product that's ready.
The lab exists so you can take path two. One week of failures in an unaccredited lab replaces months of rejection cycles on a live platform.
A redacted sample findings report and a live walkthrough of the pipeline are available on request.
Robert Burckner is the founder of Millabs Corporation, a Service-Disabled Veteran-Owned Small Business. Formerly Division Chief, Space Warfighting Analysis Center (USSF/NRO) and Cybersecurity Chief, AFLCMC.
Want to see what your product looks like against the hardened baseline? Contact Millabs for a free 30-minute diagnostic call.