Case studies
DoD cloud baselines and compliance evidence automation
Flat Spell Technologies’ existing capabilities statement documents work on repeatable DoD cloud infrastructure and continuous compliance evidence. This case study brings that published experience into a dedicated, crawlable page.
The engineering problem
Cloud delivery and authorization evidence are often handled as separate activities. Repeatable infrastructure needs configuration that can be reviewed and deployed consistently; compliance reviewers also need evidence describing the resulting system and its changes.
Our published DoD infrastructure work describes evolving an early one-click deployment into infrastructure and configuration as code, mapped to cloud-native control mechanisms and repeatable baselines. This made technical implementation and evidence-bearing delivery part of the same engineering workstream.
Repeatable cloud baselines
The existing capabilities statement describes compliant cloud baselines, control mapping, and deployments across DoD impact levels. The homepage identifies Terraform, Azure, NIST 800-53, and DevSecOps among the technologies and practices associated with this work.
The documented outcome is repeatable configuration with evidence-bearing artifacts built into delivery. Project-specific modules, configuration, and sensitive operational details are not published here.
Connecting resource events to evidence workflows
A separate documented RMF automation effort connected resource-level cloud events to eMASS. The published account describes designing an OpenAPI contract, collaborating with eMASS engineers, and implementing embedded reporting mechanisms.
The intended engineering result was a more current view of resource-level and aggregate compliance status, with less manual evidence creation. This is an integration and reporting capability; it is not an assertion that an event stream alone grants an ATO or proves all applicable controls.
What this means for a new engagement
The transferable approach is to define how configuration, verification, and evidence relate before implementation. A new program still needs its own applicable requirements, cloud boundary, control responsibilities, and review process. Reusing an architectural pattern does not automatically make another system compliant.
For a new workstream, we would agree on the baseline and evidence requirements, implement a bounded delivery slice, and exercise both successful and failed verification paths. These are proposed engagement practices, rather than additional claims about the past projects above.
Source and further reading
This summary is based on the company’s already-published capabilities statement and selected mission outcomes. It adds no new customer endorsement, project metrics, or authorization claim.
See compliance automation engineering for potential deliverables and FedRAMP compliance automation workflows for a technical implementation model.