AWS · Azure · GCP · Multi-cloud
IaC · K8s · FinOps · MLOps
Cloud Engineering that doesn't burn the budget.
Cloud is a strategy, not a vendor. We design, migrate, and operate cloud platforms on AWS, Azure, GCP, and multi-cloud — with Infrastructure-as-Code, Kubernetes, FinOps cost optimization, and MLOps for AI workloads. Built for enterprise scale and compliance-heavy industries.
Wyoming C-Corp · Dallas HQ · 585 engineers on tap
AWS·Azure·GCP
certified delivery
20-40%
FinOps savings
IaC
100% of infra
SLA target
Why our cloud engineering
Most cloud bills are 30% waste. We start by fixing that.
Cloud spend has exploded for most enterprises. Half of that is architecture decisions made years ago that no one’s revisited. We start with a FinOps audit before recommending a single new service.
01 / IAC EVERYTHING
Terraform · Pulumi · CDK
100% of infrastructure as code. Versioned, reviewable, repeatable. No ‘click-ops’ configuration drift.
02 / FINOPS BY DEFAULT
Cost transparency
Per-team / per-product / per-workload cost attribution. Rightsizing, reserved capacity, savings plans. Typically 20-40% reduction in year one.
03 / KUBERNETES DONE RIGHT
Managed + GitOps
EKS, AKS, GKE with Argo CD or Flux. Helm charts. Cluster autoscaling. Multi-tenant by design where needed.
04 / MLOPS NATIVE
AI workloads first-class
SageMaker, Vertex AI, Azure ML, or self-hosted (Kubeflow, Ray). Model versioning, eval pipelines, drift monitoring.
Cloud services we ship
From migration to MLOps. Six core practices.
MIGRATION
On-prem → cloud / cloud → cloud
Strangler-pattern migrations. Lift-and-shift, replatform, refactor — we’ll recommend the right strategy per workload.
INFRASTRUCTURE AS CODE
Terraform · Pulumi · Crossplane
Version-controlled, reviewable, repeatable infra. CI / CD on the infrastructure itself.
CONTAINERS + KUBERNETES
EKS · AKS · GKE
Managed Kubernetes with GitOps. Helm-packaged services. Horizontal autoscaling. Cluster security baseline.
DEVOPS + CI/CD
GitHub Actions · GitLab · CircleCI
Build, test, deploy pipelines. Multi-environment promotion. Security scanning. Automated rollback.
OBSERVABILITY
OpenTelemetry · Datadog · Grafana
Metrics, logs, traces. Per-service dashboards. On-call rotations. SLO / SLI engineering.
FINOPS
Cost transparency, savings
Cost allocation, rightsizing, reserved capacity, savings plans. 20-40% typical reduction year one.
Selected Production Work
Proof. Not pitch decks.
FAQ
Questions buyers actually ask.
Depends on existing footprint, compliance posture, and target workload. AWS for breadth, Azure for Microsoft ecosystem and enterprise integration, GCP for AI/ML and data analytics depth. We’ll recommend based on your specific shape — and we run multi-cloud regularly.
Typical first-year FinOps engagement: 20-40% reduction. Bigger savings (40-60%) usually require architectural changes — moving from on-demand to spot, replatforming legacy lift-and-shifts, or shifting to managed services.
Yes — we’ll architect, deploy, and operate. We also train your team to take over within 6-12 months if you want to bring it in-house.
Configurable. AWS / Azure / GCP all have GCC regions (Bahrain, KSA, UAE) and EU regions. We design for the residency you need from day one — not bolt on later.
Audit your cloud spend and architecture.
Free 5-day cloud audit. We benchmark your current spend, architecture, and FinOps maturity, and return a prioritized improvement list.
Cloud Engineering Services · Wyoming C-Corp · Dallas HQ · +1 510 850 4645 · [email protected]