AWS, Azure, or GCP — which do you recommend?

AWS for breadth and ecosystem maturity, GCP for data, AI/ML, and clean DX, Azure when the org is already Microsoft-centric. WH Studio designs cloud-portable apps where feasible and picks per workload.

How do you control cloud costs?

Right-size from day one, use spot/preemptible compute where safe, cache aggressively (CDN + Redis), set budgets + alerts, and tag every resource. Typical client savings: 25–45% within 60 days.

Do you build serverless or container-based architectures?

Both. Serverless (Lambda, Cloud Run, Workers) for spiky / event-driven workloads; containers (ECS, EKS, GKE) for long-running services with predictable load. Architecture follows the workload, not the trend.

Is your infrastructure reproducible?

Yes — everything as code via Terraform or Pulumi, with environments cloned from the same modules. Disaster recovery means redeploy + restore, not a runbook.

How do you handle security and compliance?

Least-privilege IAM, KMS-managed encryption at rest, TLS everywhere, audit logging to a write-only sink, secret scanning in CI, and SOC 2 / HIPAA-ready baselines on request.

Cloud Architecture · From $10,000

Cloud architecture that won't bankrupt you in year two.

Boring infrastructure your on-call engineer can hold in their head at 2am — designed for the team you actually have, with cost controls, IaC, and observability wired in before the CFO ever sees a surprise bill.

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AWS · GCP · Azure · Terraform · Pulumi · Kubernetes

Capabilities

Cloud architecture services.

Infrastructure Design

Single-region until proven otherwise; multi-region when compliance forces it.
High availability, disaster recovery, and cost budgets baked into the design.

Serverless & Containers

Lambda / Cloud Run / Workers for spiky, event-driven workloads.
ECS / EKS / GKE for long-running services with predictable load.

Security & Compliance

Least-privilege IAM, KMS encryption, TLS everywhere, secret scanning in CI.
SOC 2 / HIPAA / GDPR baselines with audit logs to a write-only sink.

Engagements

Packaged cloud engagements.

Cloud Infrastructure Design

Multi-AZ or multi-region architecture with IaC, HA, DR planning, and observability baked in from day one.

Starting at

From $15,000

Serverless Platforms

Event-driven workloads on Lambda, Cloud Run, or Workers with API Gateway, queues, and pay-per-use cost models.

Starting at

From $10,000

Container Orchestration

Kubernetes on EKS / GKE / AKS with service mesh, auto-scaling, blue-green deploys, and GitOps workflows.

Starting at

From $25,000

Managed Database Architecture

RDS / Aurora / Cloud SQL / DynamoDB with replication, sharding, backup, and PITR strategies designed for your RPO/RTO.

Starting at

From $12,000

Cloud platforms

Platforms we ship on.

Amazon Web Services
EC2, Lambda, ECS/EKS, S3, CloudFront, RDS, DynamoDB, VPC, Route 53, CloudWatch, X-Ray.
Google Cloud Platform
Cloud Run, Cloud Functions, GKE, Firestore, Cloud SQL, Cloud CDN, and Cloud Monitoring.
Microsoft Azure
Azure Functions, App Service, AKS, Cosmos DB, Azure SQL, DevOps Pipelines, Application Insights.
Edge & Hybrid
Cloudflare Workers, Fly.io, Vercel, and Railway for edge or PaaS-first workloads.

Field notes

Cloud architecture that won't bankrupt you in year two.

The right cloud architecture is the boring one that your on-call engineer can hold in their head at 2am. We design infrastructure for the team you actually have, not the team a Re:Invent talk assumes you have.

Single region until proven otherwise

Multi-region is a 10x complexity multiplier (DNS, replication lag, conflict resolution, failover testing) that pays off only above specific latency or compliance thresholds. We deliberately stay single-region on AWS us-east-1 or Vercel global edge until traffic, contracts, or regulation forces a change.

Infrastructure as code, no exceptions

Terraform or Pulumi for everything that's not a managed-service quirk; click-ops is a one-way ticket to a system no one can rebuild. State backends are remote, locked, and versioned. Every change goes through a plan-and-review pipeline, same as application code.

Cost controls before the bill scares the CFO

Cost-allocation tags enforced at provisioning, per-team budget alerts in Slack, weekly right-sizing reports, and reserved/spot capacity split for predictable savings. Full discipline in our cloud DevOps best practices guide.

Observability before the outage

Prometheus + Grafana or CloudWatch / Stackdriver dashboards wired in on day one, distributed tracing via OpenTelemetry, structured logs to a searchable sink, and SLO-based alerting that pages on user impact — not CPU spikes.

FAQs

Cloud Architecture FAQs

Frequently Asked Questions

Ready to build?

Build your cloud infrastructure.

Let's discuss your cloud architecture needs and design a scalable, secure solution that grows with your business — with IaC, cost controls, and observability from day one.

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