Ventra StudiosLet's talkMulti-cloud expertise
AWS, GCP, Azure, Vercel, Cloudflare. We pick the right cloud for each workload, not a hammer for every nail.
Cloud Architecture
Cloud infra that scales without surprises.
AWS, GCP, Azure, Kubernetes, Terraform. We design cloud architecture that scales to your Series C without 3am pages.
- Multi-cloud ready
- Infrastructure as code
- Cost optimized
- SOC 2 path
Benefits
Why teams pick us for cloud
The cloud expertise most startups need but can't afford to hire full-time.
Infrastructure as code
Terraform, Pulumi, AWS CDK. Reproducible environments, no snowflake servers, easy to onboard new engineers.
Cost optimization
Right-sizing, reserved instances, spot instances, lifecycle policies. We've cut infrastructure costs 40-70% for clients.
Production-grade observability
Metrics, logs, traces, alerts. When something goes wrong, you know first — and you know why.
Kubernetes when you need it
Managed Kubernetes (EKS, GKE, AKS) for complex workloads, serverless (Lambda, Cloud Run, Vercel) for everything else. We pick the right runtime.
Security by default
IAM least-privilege, network segmentation, secrets management, encryption everywhere. SOC 2 and HIPAA-ready.
Case study
Proof: Nimbus Logistics
Logistics · SaaS — infrastructure cost reduction
The challenge
Nimbus Logistics was burning $40k/month on AWS with a single AZ deployment, oversized EC2 instances, and untagged resources. They needed to scale for enterprise clients without scaling costs.
What we built
Migrated to multi-AZ with auto-scaling, right-sized all compute, added reserved instances, implemented S3 lifecycle policies, added Datadog for observability.
−63%
infrastructure costs ($40k → $15k/mo)
99.95%
uptime over 12 months
8 → 1
engineers needed to manage infra
Stack
Cloud stack we work with
All major clouds, all major runtimes, all major IaC tools.
Clouds
- AWS
- GCP
- Azure
- Vercel
- Cloudflare
Compute
- Kubernetes (EKS/GKE/AKS)
- Lambda / Cloud Run
- EC2 / Compute Engine
- Vercel Functions
IaC
- Terraform
- Pulumi
- AWS CDK
- Helm
Observability
- Datadog
- Grafana
- Prometheus
- Sentry
- OpenTelemetry
FAQ
Cloud architecture questions
How do you approach cost optimization?
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We start with a usage audit: right-sizing (most teams over-provision), reserved/spot instances for predictable workloads, lifecycle policies for storage, deletion of untagged resources. Typical clients save 40-70% within 3 months.
Should we use AWS, GCP, or Azure?
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Depends on your use case. AWS for the broadest service catalog and most third-party integrations. GCP for data/ML workloads and Kubernetes. Azure if you're Microsoft-heavy. We can help you pick or run multi-cloud.
When should we use Kubernetes?
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When you have complex workloads (microservices, ML, batch processing), need fine-grained scaling, or have a team comfortable with K8s. For simple web apps, serverless (Lambda, Vercel, Cloud Run) is faster and cheaper.
How do you handle multi-cloud?
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We use cloud-agnostic tooling (Terraform, Kubernetes) where possible, cloud-specific services where it matters (S3, BigQuery, etc.). Multi-cloud adds complexity — we use it only when the business case justifies it.
How long does a cloud migration take?
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A focused lift-and-shift migration: 2-4 weeks. A full re-architecture (re-platforming): 2-6 months. We deliver in phases so you can start saving on the new architecture before the migration completes.
Do you provide ongoing DevOps support?
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Yes — we offer fractional DevOps as a retainer (typically 1-2 days/week). Your team keeps velocity, our team handles incidents, cost optimization, and infrastructure improvements.
Need cloud architecture help?
Book a free intro call. We'll discuss your current setup and tell you honestly where you can save money and time.