Cloud Computing & FinOps

The cloud that actually works: optimized, secured, and built to power AI.

Cloud adoption is no longer the destination. It is the starting point. The real transformation happening in federal cloud programs today is moving from 'we migrated to the cloud' to 'our cloud investment is actually working': eliminating waste, maximizing performance, unlocking AI capabilities, and building the cloud-native data ecosystems that modern mission analytics demand. Goldman Edwards guides agencies through this entire journey, from initial strategy and architecture through migration, optimization, and continuous managed operations.

We are platform-agnostic by design. Goldman Edwards maintains deep expertise across AWS GovCloud, Microsoft Azure Government, and Google Cloud for Government, and we are honest about which platform serves each agency's specific workload requirements and compliance posture best. We are not a cloud vendor partner first. We are an agency advocate first.

GAO and IG reports consistently find that federal agencies waste between 20 and 35 percent of cloud spend on over-provisioned resources and workloads never optimized after migration. Goldman Edwards FinOps practice delivers real-time cost visibility, automated rightsizing, Reserved Instance optimization, and architectural waste elimination can achieving cost reductions in mature cloud environments.

Cloud Strategy & Migration

  • Cloud strategy, assessment, and workload profiling
  • FedRAMP High and DoD IL4 to IL5 authorization and ConMon
  • AWS GovCloud, Azure Government, Google Cloud for Government
  • Application rehosting, replatforming, and refactoring
  • Oracle EBS and FMIS cloud migrations
  • Cloud data platform including data lake and lakehouse architecture
  • Disaster recovery and COOP on cloud

Multi-cloud governance and unified security policy

Optimization & Managed Services

  • Cloud FinOps with 25 to 40 percent cost reduction programs
  • Real-time cost visibility and automated rightsizing
  • Kubernetes / EKS container orchestration
  • Infrastructure as Code using Terraform and Ansible
  • CI/CD pipeline with integrated DevSecOps security gates
  • MLOps and AI/ML infrastructure on cloud
  • Cloud-native DevSecOps pipeline engineering

Continuous monitoring, patching, and incident response

The outcome

Reduced infrastructure costs through FinOps discipline, FedRAMP-authorized security posture, cloud environments purpose-built for AI and data workloads, and managed services that continuously optimize as mission requirements evolve.