# Federal Agencies Apply Cloud Lessons to AI

A Federal News Network commentary by Chris Arroyo, Datadog’s Regional Director for U.S. Public Sector, urges federal agencies to apply cloud-era cost, reliability, and governance disciplines as AI systems move from pilots into production. The article identifies potential needs in AI observability, monitoring, cost controls, risk-based oversight, and incident response, but reports no specific solicitation, contract award, or procurement contact.

- Agencies developing AI acquisitions can translate these concerns into requirements for monitoring, cost visibility, reliability, governance, and incident response.
- Contractors offering AI observability, operational monitoring, cost management, or risk controls may find relevant areas to demonstrate capability as agencies move systems toward production.
- The commentary describes a strategic direction, not a government mandate or open procurement; it provides no solicitation details or submission timeline.

**Jurisdictions:** federal
**Industries:** Information Technology
**Topics:** Artificial Intelligence, Cloud Services
**Published:** October 21, 2026

### Government Entities
- Office of Management and Budget (OMB)
- National Institute of Standards and Technology (NIST)
- Government Accountability Office (GAO)
- U.S. Customs and Border Protection (CBP)
- Centers for Medicare and Medicaid Services (CMS)

### Vendors
- Datadog ()

### Sources
- [
        The government learned the hard lessons of cloud. It should apply them to AI now. - Federal News Network](https://federalnewsnetwork.com/commentary/2026/10/the-government-learned-the-hard-lessons-of-cloud-it-should-apply-them-to-ai-now) - Federal News Network