Cost Chaos
Your AWS or GCP bill grows faster than your revenue. You're paying usage-based rates for predictable workloads — and nobody on your team can fully explain why the number keeps climbing.
Private Cloud Hosting For Startups
Dedicated Kubernetes, no shared tenancy, 24/7 SRE operations, backups, patching, and one flat monthly INR invoice. Built for teams that want production infrastructure without public-cloud bill shock or an internal ops burden.
14-day sandbox. No credit card required. Direct engineer access.
The Problem
Your AWS or GCP bill grows faster than your revenue. You're paying usage-based rates for predictable workloads — and nobody on your team can fully explain why the number keeps climbing.
Your engineers are managing infrastructure and DevOps instead of building product. Every sprint, at least one person is on-call for something that should just work.
Your infrastructure fails in ways you can't predict — and when it does, there's no single accountable team. Security gaps get patched reactively, vulnerabilities get discovered in post-mortems, not before they're exploited.
The Solution
Mayan.Host gives you a dedicated Kubernetes cluster, sized to your workload, monitored 24/7, and managed by the same SRE team that designed it. One flat monthly invoice. No shared resources. No ops burden on your team.
What this changes for your team
Budget compute and managed operations together in INR instead of reconciling separate usage, monitoring, backup, support, and currency-variable charges.
The engineers who design the environment also monitor it, patch it, respond to incidents, and help your developers improve delivery workflows.
Keep dedicated infrastructure, standard Kubernetes, direct engineer access, and Indian data-centre placement without assigning your product engineers to daily cloud operations.
Architecture Overview
Your Users
|
Load Balancer
|
Kubernetes Cluster (Dedicated)
|- Application Services
|- Background Workers
`- API Layer
|
Managed Database + Encrypted Storage
|
Monitoring | Logging | Backups | Alerting Your workloads run in an isolated environment scoped to your stack, traffic, and data requirements.
Provisioning, monitoring, backups, patching, and escalation are handled by infrastructure engineers.
Standard Kubernetes and open tooling keep the platform understandable, auditable, and movable.
Pricing
All prices in INR/month, exclusive of GST. Includes dedicated compute, root disk, monitoring, backups, and managed operations.
| vCPU | RAM | Included SSD | Monthly |
|---|---|---|---|
| 2 | 2 GB | 40 GB | ₹550 |
| 4 | 8 GB | 100 GB | ₹2,000 |
| 8 | 32 GB | 100 GB | ₹5,000 |
| 16 | 64 GB | 100 GB | ₹11,250 |
| 48 | 192 GB | 200 GB | ₹31,000 |
Additional vCPU/RAM configurations are available. Tell us your workload and we will map it to the right compute plan.
Request custom compute pricingAdditional storage is ₹5 / GB / month for network-attached storage, expandable up to 4 TB.
All prices are fixed in INR. No currency exposure. No mid-year rate revisions.
Start with a free sandboxCustom Stack
These services are scoped and priced per your architecture. Tell us your stack and workload, and we'll respond within one business day.
Need load balancers, databases, migration, or SRE support bundled into one fixed quote?
Request Custom PricingAudience
SaaS teams scaling past MVP.
Teams handling data that can't fail quietly.
Building for the next stage.
Dedicated compute for training and inference.
Past the startup phase. Not ready to build a platform team.
When shared infrastructure isn't an option.
If your AWS or GCP bill is your fastest-growing line item and your engineers spend more time on ops than product, this is built for you.
How It Works
Step 1
We spin up a dedicated Kubernetes cluster for your stack. You get full access, a Mayan.Host engineer on standby, and 14 days to evaluate.
Step 2
Our engineers review your workload requirements and propose an architecture. You get a fixed monthly price: no estimation ranges, no hidden line items.
Step 3
Monitoring, alerting, patching, backups, and incident response stay with Mayan.Host. Your team ships product. We keep the infrastructure running.
Evaluate a real dedicated Kubernetes cluster for 14 days before you commit.
Start with a Free SandboxComparison
AWS and GCP can be effective for experimentation, elastic capacity, and getting to market fast. For stable, continuously running workloads, compare usage-based or commitment pricing against a managed, flat-rate private cloud.
Private cloud isn't about leaving the public cloud. It's about putting your workloads where they perform best and cost the least.
| Area | AWS / GCP (Public Cloud Path) | Mayan.Host Private Cloud |
|---|---|---|
| Pricing model | Usage-based pricing, with discounts or commitments available for predictable consumption. | Flat-rate monthly pricing scoped to your allocated environment. |
| Data control | Regions, isolation, and access controls are configurable; governance remains your responsibility. | Dedicated infrastructure. Full control over where your data lives and who touches it. |
| Reliability | Resilience tooling is available; architecture, monitoring, and response ownership must still be defined. | Engineered with SRE principles. Monitoring, alerting, and incident response included. |
| Operations | Managed services are available, but cross-service operations and accountability must be scoped. | Fully managed by DevOps and SRE engineers. Monitoring, backups, and incident response included. |
| Vendor lock-in | Provider-specific managed services can create dependencies over time. | Standard Kubernetes and open tooling. Your infrastructure stays portable. |
You do not need to move everything off AWS or GCP. But steady-state production workloads running continuously with predictable traffic are worth evaluating for private-cloud placement.
Trust
"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
These aren't features we add on request. They're the defaults, because anything less isn't production infrastructure. It's a proof-of-concept with a bill attached.
Our team has designed, deployed, and operated infrastructure for SaaS platforms, fintech systems, and data-intensive workloads. We don't hand off architecture documents and disappear. The engineers who design your environment are the ones who run it.
Review SRE servicesSandbox
Start with a real Kubernetes sandbox for your stack. No credit card, no shared demo environment, and a Mayan.Host engineer available during evaluation.
We provision a dedicated Kubernetes sandbox for your stack and give your team 14 days to evaluate the environment.
No credit card. No usage-limited trial. No 45-minute sales demo.
Our engineers configure the sandbox with you, so you are testing production-grade infrastructure instead of a watered-down preview.
Send your workload details and we will confirm the sandbox scope.
Start with a Free SandboxFAQ
Everything your cluster needs to run reliably: dedicated compute, root disk, 24/7 monitoring and alerting, automated backups, security patching, managed operations, and direct access to a Mayan.Host cloud engineer. You are not billed separately for monitoring agents, standard backup retention, or support tickets.
A comparable public-cloud setup usually includes compute, managed Kubernetes, monitoring, backup, support, and operational effort as separate cost centres. A 4 vCPU / 8 GB Mayan.Host private cloud plan is ₹2,000/month with managed operations included and no variable billing. We can compare your current AWS or GCP workload line by line before you move.
Yes. Mayan.Host private cloud infrastructure runs from Indian data centres. Your data does not leave India unless you explicitly configure an external integration, backup destination, CDN, or public-cloud connection.
We can resize your cluster with a short maintenance window. Billing adjusts from the next billing cycle, with no partial-month surcharges for planned upgrades.
Yes. Use the contact form with a brief description of your stack and workload. We will send a complete fixed-price quote covering the infrastructure, managed services, operations scope, and any migration work.
Month-to-month is available by default. You can save 5% with a 1-year commitment or 10% with a 2-year commitment. There is no penalty for switching to a longer term mid-contract.
Next Step
Start with a free sandbox or ask for a complete custom quote covering compute, Kubernetes, databases, load balancing, migration, and managed operations.
Tell us your stack and workload. We will respond within one business day with the next step.
No credit card required for sandbox evaluation.