We design, migrate, and operate enterprise workloads across AWS, Azure, and GCP, with a unified governance layer, FinOps discipline, and cloud-native architectures that maximize performance while minimizing cost.
Most organizations land in multi-cloud by accident: one team chooses AWS, another Azure, and suddenly you have fragmented governance, duplicate costs, and no unified visibility. We design multi-cloud intentionally, with a control plane that spans all three hyperscalers.
Our cloud practice implements AWS Control Tower with customized Account Factory, Azure Management Groups with Policy-as-Code, and GCP Resource Manager hierarchies, all governed by a unified Terraform module library and centralized identity via Entra ID or Okta.
Key differentiator: We treat FinOps as an engineering discipline, not a reporting exercise. Reserved Instance and Savings Plan coverage, commitment-based discounts, and rightsizing are automated and continuously tuned, not reviewed once a quarter.
The specific tools, patterns, and practices we bring to every multi-cloud engagement.
We architect AWS environments against the six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. AWS Control Tower with custom Account Factory for Terraform (AFT) provisions standardized accounts with guardrails, SCPs, and baseline security controls applied automatically at account creation.
Full Azure CAF implementation, including Management Group hierarchy (Platform/Landing Zones/Sandbox), Azure Policy initiative assignments for regulatory compliance (NIST 800-53, CIS), Defender for Cloud with CSPM scoring, and Azure Blueprints for repeatable environment deployment. Hybrid connectivity via Azure Arc for on-premise extension.
Google Cloud Foundation toolkit deployment including Resource Manager organization hierarchy, VPC Service Controls for perimeter security, Cloud Asset Inventory for compliance visibility, and Forseti Security for policy enforcement. Anthos for hybrid workload management. Workload Identity Federation eliminating long-lived service account keys.
Unified network fabric spanning AWS Transit Gateway with RAM sharing, Azure Virtual WAN with hub-and-spoke topology, and GCP Cloud Interconnect. SD-WAN integration with VMware VeloCloud or Palo Alto Prisma SD-WAN. BGP route management across cloud peering connections and on-premise data centers. Latency-optimized traffic routing.
FinOps Foundation-aligned practice covering unit economics, showback/chargeback, and continuous optimization. AWS Cost Explorer with Savings Plans and Reserved Instance analysis, Azure Cost Management with budgets and anomaly detection, GCP Recommender for idle resource identification. Apptio Cloudability for multi-cloud unified cost visibility and rightsizing automation.
Systematic migration execution using the 7 R's framework (Rehost, Replatform, Repurchase, Refactor, Re-architect, Retain, Retire). AWS Application Migration Service (MGN) and Server Migration Service for lift-and-shift at scale. Azure Migrate for dependency mapping. Google Velostrata for streaming migrations. Database Migration Service for heterogeneous DB migrations with minimal downtime.
Every cloud engagement starts with a clear-eyed assessment of your current state, not a vendor pitch. We map workloads, dependencies, and cost drivers before a single resource is provisioned.
Our delivery squads include certified cloud architects (AWS Solutions Architect Pro, Azure Expert, GCP Professional), FinOps practitioners, and network engineers working in structured waves with clear go/no-go criteria at every phase.
Inventory all workloads, dependencies, data flows, and costs across existing environments. Application dependency mapping with AWS Migration Evaluator, Azure Migrate, or Cloudamize. Identify quick wins (idle resources, oversized instances, unused RI coverage) that fund the migration program. Output: cloud readiness scorecard and total-cost-of-ownership model.
Deploy production-ready landing zones on target cloud(s) before moving any workloads. Account/subscription/project structure, identity federation, network topology (hub-and-spoke or mesh), logging baselines (CloudTrail, Azure Monitor, GCP Audit Logs), and security baselines (Security Hub, Defender for Cloud, Security Command Center). Everything is Terraform-managed and peer-reviewed via pull request.
Group workloads into migration waves by dependency, risk, and business value. Assign 7-R strategy per workload. Low-risk, stateless applications migrate first (Rehost). Databases and stateful workloads are scheduled later with appropriate cutover windows. Risk scoring ensures zero critical-path disruptions.
Wave-by-wave migration with continuous replication (MGN/Azure Migrate) to enable dry-run cutover testing. Each workload undergoes functional testing, performance benchmarking, and security validation before production cutover. Rollback procedures documented and tested for every wave. Parallel-run period for critical systems.
Post-migration FinOps sprint: rightsizing analysis, Reserved Instance purchases, Savings Plan commitments, and auto-scaling policy tuning. Monthly FinOps review cadence with unit economics reporting. Tagging enforcement, budget alerts, and anomaly detection configured. Governance dashboards showing policy compliance, security posture, and cost trends across all accounts.
How multi-cloud strategy is delivering measurable outcomes across sectors.
Migrated a federal agency's 400+ workloads from on-premise data centers to AWS GovCloud (US-East/West) using a 12-wave migration factory. Deployed AWS Control Tower with custom guardrails meeting FedRAMP High baseline. Zero unplanned outages during migration. ATO maintained throughout with continuous compliance evidence collection via AWS Config and Security Hub.
400 workloads migrated, ATO maintainedDesigned an intentional multi-cloud strategy for a Fortune 500 financial services firm, placing AWS for compute-intensive ML workloads, Azure for Microsoft 365 integration and Power Platform, and on-premise for latency-sensitive trading systems. AWS Transit Gateway + Azure ExpressRoute + SD-WAN delivered a unified network fabric with sub-5ms latency between clouds.
Sub-5ms cross-cloud latency achievedInherited a $4.2M/year AWS estate with 23% Reserved Instance coverage and no tagging governance. Implemented FinOps Foundation FOCUS framework, purchased $1.8M in Compute Savings Plans, enforced tagging via Service Control Policies, and rightsized 340 over-provisioned instances. First-year savings: $1.7M. RI coverage improved to 78%.
$1.7M saved in year oneDesigned a cross-cloud DR architecture with primary on AWS us-east-1, warm standby on Azure East US, and 4-hour RPO and 2-hour RTO. Replicated databases with AWS DMS and Azure Database Migration Service. Automated failover runbooks in AWS Systems Manager and Azure Automation. Quarterly DR tests validated RTO/RPO targets consistently.
2-hour RTO, 4-hour RPO verified quarterlyStart with a Cloud Migration Assessment: we map your workloads, model total cost of ownership, and deliver a prioritized cloud roadmap with FinOps projections.