Private Cloud for SaaS

Predictable SaaS Cloud Costs, Without AWS Bill Shock.

Flat-rate private cloud hosting for SaaS teams that have outgrown the "just put it on AWS" phase — dedicated infrastructure, fully managed operations, and a monthly number your CFO can actually put in a model.

Request Free Sandbox Access Talk to a Cloud Engineer

No credit card required. Limited early-access spots available.

The Problem

You Are Funding AWS Growth. You Should Be Funding Your Own.

Cloud Spend Is Compressing Gross Margin

Infrastructure is a controllable COGS line, but usage-based costs keep rising with growth.

  • Cloud infrastructure commonly represents 6-12% of SaaS revenue.
  • Rising cloud spend reduces gross margin before a fundraise or board review.
  • Better infrastructure economics improve the margin story investors evaluate.

Engineers Are Running Infrastructure Instead of Product

Operational work consumes sprint capacity that should ship features.

  • Engineers debug infrastructure, patch systems, and respond to incidents.
  • Ops work appears as missed releases and slower feature velocity.
  • On-call burden increases burnout for product-focused teams.

Your Infrastructure Bill Is a Range, Not a Number

A variable bill is difficult for finance to forecast and defend.

  • Egress, NAT gateways, database IOPS, logging, and replication compound.
  • Managed service fees increase with traffic and newly shipped features.
  • Quarterly forecasts become estimates instead of dependable inputs.

The Shift

Private Cloud That Pays for Itself in Gross Margin, Not Just in a Lower AWS Bill

Dedicated Kubernetes infrastructure, managed operations, and flat-rate pricing for SaaS workloads that now run predictably.

No bill anxiety. No infrastructure sprints. No vendor lock-in engineered into your future.

Flat-rate monthly pricing

  • Set a predictable monthly infrastructure cost for steady-state workloads.
  • Avoid surprise data-transfer and managed-service line items.
  • Give finance a COGS input it can model with confidence.

Kubernetes-native architecture

  • Configure orchestration for your services, workers, and API layer.
  • Scope infrastructure to traffic patterns and growth plans.
  • Operate on standard tooling your team already understands.

Fully managed operations

  • Cover monitoring, alerting, backups, patching, and incident response.
  • Let engineers focus on product instead of infrastructure backlogs.
  • Keep operational accountability with the team that built the environment.

Dedicated infrastructure

  • Allocate compute exclusively to your application workloads.
  • Remove shared-tenancy contention and noisy-neighbor effects.
  • Maintain consistent production behavior during customer-critical moments.

Portable, open foundation

  • Use standard Kubernetes and open tooling by default.
  • Avoid proprietary dependencies that create expensive exits.
  • Preserve the option to move workloads when business needs change.

One accountable engineering team

  • The engineers who design your stack remain responsible for operations.
  • Avoid handoffs to a team missing the architecture context.
  • Get one accountable contact when production needs attention.

Architecture Overview

A simplified view of a typical Mayan.Host SaaS private cloud environment:

Your Users
     |
Load Balancer
     |
Kubernetes Cluster (Dedicated)
|- Application Services
|- Background Workers
`- API Layer
     |
Managed Database + Encrypted Storage
     |
Monitoring | Logging | Backups | Alerting
Dedicated by default

Isolated application, worker, and data capacity scoped to your workload.

Operated end to end

Engineers handle provisioning, monitoring, backups, patching, scaling, and escalation.

Portable foundation

Standard Kubernetes and open tooling keep infrastructure understandable and movable.

Audience

Built for SaaS Teams Whose Infrastructure Costs Are Growing Faster Than Their Revenue

Series A-B SaaS Teams at the Tipping Point

AWS spend from $20K to $150K per month, where dedicated infrastructure deserves evaluation.

  • Answer board questions about cloud spend with clear numbers.
  • Place stable workloads on infrastructure designed for steady-state use.
  • Stop renting elasticity your core services no longer need.
See why Series A-B teams make the switch

SaaS Founders Preparing for Fundraising or M&A

Gross margin is one of the valuation inputs you can improve before a raise.

  • Reduce an optimisable component of SaaS COGS.
  • Model potential margin improvement using actual workload costs.
  • Present predictable infrastructure economics to investors.
Talk about infrastructure and gross margin

Engineering Teams Losing Product Velocity

Operations should not silently consume every sprint.

  • Return infrastructure management time to feature delivery.
  • Give incident response and deployments a clear owner.
  • End constant context switching between product and platform.
See how teams reclaim engineering time

Multi-Tenant SaaS With Isolation Needs

Dedicated infrastructure supports consistent performance and clearer boundaries.

  • Protect API responsiveness during customer-critical usage.
  • Strengthen isolation for customer data workloads.
  • Prepare for enterprise performance and control requirements.
Review multi-tenant infrastructure patterns

AI-Feature SaaS With Growing Inference Costs

GPU-backed features need visible costs before they scale.

  • Understand inference cost before features reach production scale.
  • Avoid variable latency from shared GPU capacity.
  • Evaluate dedicated GPU infrastructure with predictable pricing.
Explore GPU and AI infrastructure options

Teams That Have Outgrown "Just Put It on AWS"

Past MVP and product-market fit, infrastructure economics become strategic.

  • Re-evaluate the convenience premium in established workloads.
  • Migrate in weeks rather than starting a six-month project.
  • Run private cloud without building your own operations team.
See how the migration actually works

If your AWS or GCP bill is your fastest-growing COGS line and engineers spend more time on operations than product, this is built for you.

Process

From Request to Running - In Days, Not Months

Step 1

Request Sandbox Access

Tell us what your application and cost model need.

  • Share your stack, workloads, and current cloud spend.
  • Two minutes. No sales pitch or commitment.

Step 2

Architecture Review

An engineer designs around your real workload profile.

  • Review traffic, services, databases, and growth trajectory.
  • Compare current public-cloud cost with flat-rate private cloud scope.

Step 3

Sandbox Provisioned

Validate dedicated infrastructure before committing.

  • Deploy your application to a configured private cloud sandbox.
  • Run workloads and benchmark behavior against your current setup.

Early adopters get free sandbox access: no credit card, no commitment.

Request Free Sandbox Access

Comparison

AWS Is an Excellent Starting Point. For Steady-State SaaS, It Does Not Have to Be Your Forever Plan.

As workloads stabilise, compare usage-based flexibility with dedicated infrastructure designed for predictable application services.

Keep AWS where its flexibility matters. Place stable, continuously running workloads where their cost is controlled.

AreaAWS / GCP (Public Cloud Path)Mayan.Host SaaS Private Cloud
Pricing modelUsage-based; services, transfers, and requests metered separatelyFlat-rate monthly pricing; one predictable number
Gross margin impactInfrastructure cost scales with usageBounded monthly cost controllable as a COGS input
Engineering overheadYour team manages operations and incidentsManaged by DevOps and SRE engineers
Performance consistencyShared tenancy can affect behavior under loadDedicated infrastructure for consistent performance
Data controlGovernance and residency remain your responsibilityDedicated infrastructure with defined data placement
Vendor portabilityManaged services accumulate dependenciesStandard Kubernetes and open tooling
Cost predictabilityEgress and managed-service fees compoundPredictable pricing without surprise usage line items
Reliability ownershipMonitoring and response sit with your teamSRE-oriented monitoring and response included

The right placement depends on the workloads you run now and whether the cost gap is large enough to act on.

Talk to a Cloud Engineer About Your Setup AWS Optimization GCP Optimization Hybrid Cloud

Trust

Trusted by SaaS Teams Where Infrastructure Cost and Product Velocity Both Matter

Trusted in Production

B2B SaaS PlatformPredictable Infrastructure Economics
"Mayan.Host gave us predictable infra economics and fewer incident escalations."

— VP Engineering, B2B SaaS Platform

  • 42% lower monthly infrastructure spend
  • 2x faster release cycles
  • 99.95% uptime over 12 months

Trusted in Production

AI-Powered SaaSVisual Commerce Production Workloads
"We moved our core platform to Mayan.Host and haven't had a single incident escalation since. The flat-rate pricing gave our finance team something they've never had with AWS — a predictable infrastructure line item."

— CTO, AI-Powered Visual Commerce Platform

Built on production engineering fundamentals.

Dedicated InfrastructureSRE-Grade ReliabilityInfrastructure as Code24/7 Monitoring

Dedicated capacity, reliability, and operations are baseline controls, not optional add-ons.

Built and operated by production engineers

  • Experience with SaaS platforms, fintech systems, and data-intensive workloads.
  • Infrastructure designed for predictable production service delivery.
  • The engineers who design your environment remain accountable for operations.
Review SRE services
View Private Cloud Pricing

Early Access

Get Early Access. Sandbox Included.

We're onboarding a limited number of early-access partners for Mayan.Host SaaS Private Cloud.

Try It Before You Commit.

  • Deploy your application on dedicated private cloud infrastructure.
  • Test consistent performance on an environment configured for your stack.
  • Review a clear cost model before a production decision.

No credit card. No commitment. No 45-minute sales demo.

What you get in the sandbox

  • Dedicated Kubernetes cluster configured for your stack
  • Monitoring and logging set up and running
  • Secure, isolated private cloud environment
  • Direct access to a Mayan.Host cloud engineer

Early-access spots are limited.

Request Free Sandbox Access

FAQ

Common Questions About Mayan.Host SaaS Private Cloud

At what AWS spend level does private cloud start to make sense for SaaS?

A serious evaluation often makes sense once steady-state cloud spend becomes material.

  • For many SaaS teams, the review starts around $20,000-$40,000 per month.
  • Predictable workloads may not need public-cloud usage pricing forever.
  • We model the comparison against your actual workloads before a decision.
Will migrating to private cloud slow down our product velocity?

Migration is designed to reduce ongoing operational drag.

  • Most production environments are scoped for delivery within two to four weeks.
  • Your engineers spend less time handling platform maintenance and incidents.
  • Migration is planned around workloads to minimise release disruption.
We use managed AWS services. Does that complicate a move?

It depends on the services and how deeply the application depends on them.

  • Map RDS, queues, delivery layers, and other service dependencies during review.
  • Use managed open-source or Kubernetes-native equivalents where they fit.
  • Retain AWS services when they remain the right operational choice.
How does this affect our gross margin?

Flat-rate placement can make steady-state infrastructure a more controllable COGS input.

  • Model current public-cloud spend against equivalent private cloud capacity.
  • Scope the improvement to the workloads you actually move.
  • Return engineering time to product work as an additional efficiency gain.
What happens to our CI/CD pipelines and deployment workflows?

We adapt the infrastructure to your delivery workflow.

  • Continue using tooling such as GitHub Actions, GitLab CI, or Argo CD.
  • Manage environments through reviewable, repeatable Infrastructure as Code.
  • Preserve working pipelines and improve weak points during migration.
Can we keep some workloads on AWS and move others to Mayan.Host?

Yes. Hybrid architecture is often sensible for SaaS platforms.

  • Place steady-state APIs, workers, and databases on private cloud when appropriate.
  • Keep burst, experimental, globally distributed, or AWS-native components on AWS.
  • Design networking and data flows as one coherent system.
How long does setup take?

Sandbox environments are typically available within days of the review.

  • Most production SaaS environments are delivered within two to four weeks.
  • Migrations can proceed incrementally around your workload priorities.
  • The designing engineers operate the environment through go-live.
We do not have a dedicated DevOps team. Can we still use this?

Yes. Mayan.Host is fully managed.

  • We handle provisioning, monitoring, patching, scaling, backups, and incident response.
  • Your team uses standard Kubernetes tooling when it needs infrastructure access.
  • You do not need to hire a platform engineer to run the environment.

Next Step

Your Infrastructure Cost Is One of the Few COGS Lines You Can Actually Control.

See a private cloud environment designed for your stack, operated by accountable engineers, and priced for a financial model.

  • Dedicated infrastructure for predictable production workloads.
  • No sales demo or usage-limited trial.
  • Free sandbox access for early adopters.
Request Free Sandbox Access Talk to a Cloud Engineer

Limited early-access spots. No credit card required.

Industry fit: SaaS platforms, AI-feature SaaS, data-intensive workloads Read: Private cloud vs AWS

Request for Sandbox Access