Cloud economics, re-engineered

Stop burning capital on overpriced infrastructure.

Move the right workloads from AWS, Azure, or GCP to rented dedicated servers and cut your monthly infrastructure bill by up to 80% — without sacrificing reliability.

Calculate your savings
Up to 80% savings0% egress fees100% dedicated hardware

Infrastructure signal

Monthly cost trajectory

PUBLIC
DEDICATED

Potential savings

$8,420 / mo

−78.4%
Reliability stays above 99.99%

01 / Run the numbers

Your bill has a simpler answer.

Model your current footprint against dedicated infrastructure. These are directional estimates designed to reveal the scale of the opportunity.

Workload profile

Tune your monthly footprint

32 cores
128 GB
4 TB
20 TB / month

Estimated monthly cost

AWS vs. dedicated

Public cloud$3,428
Dedicated bare metal$350

Your potential savings

$3,078 / month

That is 90% less, or $36,931 back in annual runway.

Our fee: 2 months of your savings $6,155 only if there are savings

02 / The real cost

Cloud is convenient. Convenience is not a cost strategy.

The hyperscaler model is excellent for experimentation. Mature, predictable workloads deserve a different economic model.

Egress traps

The bill grows every time your product delivers value. Public cloud charges you for moving the data you already own.

vCPU markup

You pay a premium for virtualized slices of hardware that could run faster and cheaper on dedicated silicon.

Idle resource waste

Autoscaling sounds efficient until low-utilization instances, replicas, and reserved capacity quietly compound.

Surprise invoices

Variable usage, service fees, and opaque discounts make forecasting next month a finance exercise.

03 / Cloud to open source

The same capabilities. With an open stack.

This is our mapping: the services you use in the cloud and the open-source alternatives we deploy, operate and support in your environment.

Compute & autoscaling
Cloud offersEC2, Azure VMs, Compute Engine
Open source equivalentKubernetes + KubeVirt / Cluster API
What we deliverRun VMs and containers on rented dedicated servers with the same scheduling and autoscaling patterns.
Object storage
Cloud offersS3, Blob Storage, Cloud Storage
Open source equivalentMinIO or Ceph
What we deliverS3-compatible buckets, versioning, lifecycle rules, replication, and private endpoints.
Managed databases
Cloud offersRDS, Cloud SQL, Azure Database
Open source equivalentPostgreSQL, MySQL, MariaDB + Patroni
What we deliverHigh availability, automated failover, backups, and read replicas with open tooling.
Block storage
Cloud offersEBS, Persistent Disk, Managed Disks
Open source equivalentCeph RBD or Longhorn
What we deliverPersistent volumes for Kubernetes with snapshots, replication, and volume expansion.
Load balancing & ingress
Cloud offersALB, Application Gateway, Cloud Load Balancing
Open source equivalentNGINX, HAProxy, Traefik, MetalLB
What we deliverTLS termination, routing, health checks, and traffic distribution at the edge.
Observability
Cloud offersCloudWatch, Azure Monitor, Cloud Monitoring
Open source equivalentPrometheus + Grafana + Loki
What we deliverMetrics, dashboards, logs, alerts, and traces in one portable observability stack.
Secrets & identity
Cloud offersSecrets Manager, Key Vault, Secret Manager
Open source equivalentOpenBao + Keycloak
What we deliverCentralized secrets, rotation, SSO, OIDC, RBAC, and audit trails without proprietary lock-in.
Queues & event streaming
Cloud offersSQS, Service Bus, Pub/Sub
Open source equivalentNATS, RabbitMQ or Apache Kafka
What we deliverDurable messaging, retries, consumer groups, and event-driven workflows.

04 / How it works

From audit to cutover, no surprises.

A 4-step path, with a validated pilot before any cutover — and a planned rollback at every stage.

01

Audit

We map costs, workloads and dependencies to find where the savings live.

02

Sizing

We design the bare-metal + open-source target, with side-by-side comparable TCO.

03

Pilot migration

We move one real workload, validating performance and cost before scaling.

04

Cutover + operations

Planned cutover with rollback ready; then we operate under SLA.

05 / Proof over promises

The market is already moving.

From Basecamp to the world’s most data-intensive teams, dedicated infrastructure is becoming a competitive advantage again.

SaaS

37signals

annual savings by moving Basecamp workloads away from hyperscalers

$3M+

impact reported

Data platform

Ahrefs

lower infrastructure costs with a high-performance rented dedicated stack

80%

impact reported

Benchmark

Modern teams

more compute per dollar for predictable production workloads

2–6x

impact reported

Honesty first

Not everything should leave the cloud.

We tell you where repatriation pays — and where the cloud still wins.

Great fit for dedicated

  • Predictable 24/7 workloads (SaaS, APIs, databases)
  • Heavy egress: outbound traffic, backups and replication
  • Regulated data or defined residency needs
  • Bills above $5k/mo with steady growth

Better left in the cloud

  • Unpredictable spikes and extreme elasticity
  • Serverless experiments and throwaway MVPs
  • Managed AI services with no mature open equivalent

Hybrid is normal: steady base on dedicated, spikes in the cloud.

We run it for you, under SLA.

24/7 monitoring with alertingManaged patches and updatesTested backups with validated restorePrioritized incident response

You keep full access and ownership of everything.

Frequently asked questions

Questions we hear in every audit.

Straight answers — no fine print.

Pricing

You only pay from what you save.

No flat retainer, no risk: our fee comes out of the savings we generate.

  • Free audit, no strings attached
  • No proven savings, no fee
  • Fee paid from the savings themselves, not your pocket

months of generated savings

Ready to find your number?

Keep your architecture. Keep more of your capital.

Get a no-pressure architecture review and a migration path built around your actual workload.