Infrastructure that doesn't eat your runway
Your cloud bill should be as predictable as your MRR. Fixed resource prices, free load balancers, Firewall and Kubernetes — you pay for compute and storage, not for every twitch of infrastructure.
Sound familiar?
Founder and CTO pains — and how infrastructure with a predictable bill removes them.
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"The AWS bill is over forecast again"
At hyperscalers everything is billed: LB, NAT gateway, inter-zone traffic, requests. We simply don't have these line items — the network layer is free, and S3 traffic isn't billed.
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"Infrastructure eats the margin"
COGS per customer should fall with scale, not grow. Fixed resource prices let you calculate unit economics with no "ifs".
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"An enterprise client sent a security questionnaire"
ISO/IEC 27001, disk encryption, isolated perimeters — there's something to answer. For the most demanding — Private Cloud.
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"We're entering the EU market"
Locations in Poland and the Netherlands: European clients' data — in the EU, latency — minimal.
Infrastructure unit economics
What you pay for with us — and with a hyperscaler. Competitor figures are indicative public rates.
| Bill line item | AWS (indicative) | OneCloudPlanet |
|---|---|---|
| Load Balancer | from ~$18/mo + per traffic | $0 |
| Firewall / Security Groups++ | WAF from ~$5 + rules | $0 (FWaaS) |
| Managed Kubernetes (control plane) | ~$73/mo (EKS) | $0 |
| Private network, internal traffic | NAT gateway ~$32/mo + $/GB | $0 (VPC) |
| Traffic and requests to S3 storage | $/GB + $/1000 requests | $0 — you pay only for volume |
| Compute and storage | rates | rates — and this is the COGS on your bill |
A starter SaaS production stack (LB + K8s + network + request storage) at a hyperscaler costs ~$120/mo before the first compute core. With us — $0.
The SaaS growth path
From MVP to enterprise scale — on one account, with no platform change.
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Stage 1. MVP and first pilots
a single instance
For: validating the idea, investor demos
Configuration: ocp-1 (≈$8.11/mo) or ocp-3 (≈$20.45/mo): app + DB + a bucket for client files. Hourly billing — a demo stand for a day costs cents.
Price: from ≈$8.11/mo
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Stage 2. Product-market fit
we split the services
For: first paying clients, growing load
Configuration: app + a separate DB (2× ocp-3), a free Load Balancer, VPC, backups on a schedule + a geo-copy of dumps in another location.
Price: compute from $40.90/mo + backup and storage usage
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Stage 3. Scale and enterprise
Managed Kubernetes
For: large MRR, enterprise clients, a team with CI/CD
Configuration: a cluster with autoscaling (from ≈$81.80/mo for 1+3), a staging environment per release, Private Cloud for clients with isolation requirements.
Price: from ≈$81.80/mo for nodes
Cost-effective Dev/Test Environment Private Cloud
What a SaaS team gets out of the box
The tools and guarantees a product team needs from day one to enterprise deals.
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IaC from day one
REST API + a Terraform provider: all infrastructure in git, environments spun up from CI.
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A stack from the Marketplace in minutes
PostgreSQL/MySQL, Docker, GitLab CE, Keycloak (SSO for enterprise deals), Sentry, n8n, Umami/Matomo — product analytics without Google. All already in the catalog.
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Multi-tenant data under control
Separate DBs or schemas per client, disks encrypted, access — only from the VPC.
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Staging = a production clone
A snapshot of the prod server deploys to a new instance in minutes; a testing bench on ocp-3 — $0.15.
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99.95% availability
The platform's official figure: there's something to put in your SLA to clients.
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A trust pack for enterprise deals
ISO/IEC 27001, DDoS protection L3/L4, NDA on request — answers to security questionnaires are ready.
Frequently asked questions
See pricesCalculate your COGS — and compare
Transparent prices, a free network layer, hourly billing. A bill you can forecast.
Latest publications
Everything you need to create a stable, secure and scalable environment
Cloud on-call handover checklist for reliable 24/7 support: prevent context gaps and speed up issue resolution
A practical cloud on-call handover checklist to keep support continuity, avoid missed alerts, and resolve incidents faster across shifts.
Cloud change freeze and rollback plan for safer production releases: reduce outage risk during critical updates
A practical change freeze and rollback framework to protect production stability, keep customer services available, and recover fast if an update fails.
Cloud maintenance window planning playbook for stable service updates: reduce disruption and keep customers productive
A practical cloud maintenance window playbook to plan updates safely, reduce disruption risk, and keep customer operations predictable.
Cloud instance disaster recovery testing playbook: prove restore readiness before real outages
A practical cloud disaster recovery testing playbook to validate restore readiness, reduce recovery risk, and keep customer services available during critical disruptions.
Cloud incident response runbook for faster service recovery: reduce downtime and protect customer experience
A practical cloud incident response runbook to reduce downtime, speed up service recovery, and keep customer operations stable during disruptions.
Cloud instance capacity planning calendar for predictable growth: keep services fast during peak demand
A practical monthly capacity planning calendar for cloud instance workloads to keep response times stable during peak demand and control infrastructure spending.
Cloud instance rightsizing and cost control playbook: keep performance stable while reducing monthly spend
A practical cloud instance rightsizing playbook to reduce monthly infrastructure spend while maintaining stable service performance.
OpenStack + Kubernetes multi-region failover checklist for stable client services
Practical multi-region failover checklist for OpenStack and Kubernetes to keep client-facing services stable during outages.
OpenStack + Kubernetes multi-region failover checklist for stable client services
Practical multi-region failover checklist for OpenStack and Kubernetes to keep client-facing services stable during outages.
Cloud instance monitoring and alerting baseline: prevent silent failures before they impact customers
A practical monitoring and alerting baseline for cloud instances to detect failures earlier, reduce downtime, and protect customer experience.