Production readiness
Some systems fail without raising an exception. Pods stay healthy, latency stays flat and the error rate stays at zero while the result is incorrect.
A trained model can be exported to a serving format that no longer agrees with the model that was trained. A drift alert can trigger retraining with no gate before production. A dashboard can query metric names that nothing emits. Each system appears healthy by the measures it has, while the behaviour is wrong.
Every check is mutation tested. The defect it exists to catch is deliberately introduced, and the check has to notice. Six checks originally could not fail anything while looking entirely correct. Finding that weakness is why mutation testing is part of the standard.
Two checks from this standard are available as free browser tools.
Many teams cannot, and that is normal. The review can run against a copy with proprietary business logic removed because the checks examine structure, configuration and pipeline design, or it can run on your machine with you sharing the output. The review reads files, never executes code and never needs access to a cloud account.
Yes. A mutual NDA can be in place before anything is shared. If you have your own agreement, we will review it rather than refuse it.
The walkthrough call covers what to fix first and why. Any remediation work is a separate conversation with its own scope and fee. The review is a complete paid engagement, not a lead magnet designed to end in a larger engagement.
It is not a penetration test, a compliance certification or a review of a cloud account. It covers 62 specific failure modes in a repository. The report states exactly what was checked and what was not.
Tell us what you are preparing for production and where the current checks stop.