Cloud, on-prem or hybrid? A decision framework for Indian businesses in 2026

Key takeaways

• Public cloud is cheapest when load is spiky, small or experimental. It is most expensive when load is flat, large and 24/7 — exactly the profile of a database, an ERP or a file server.
• A general-purpose VM with 4 vCPU / 16 GB / 200 GB SSD costs roughly ₹9–14k/month on-demand in AWS/Azure Mumbai, ₹2–4k/month on an Indian VPS, and about ₹1.2–2k/month amortised on your own 3-node Proxmox cluster at 70% utilisation (hardware + power + colo + ops).
• Egress, backups, snapshots and managed-service add-ons typically add 30–60% to the cloud bill people budgeted for.
• The right answer for most Indian SMEs is hybrid: stable core on private infrastructure, elastic edge (web front-ends, CDN, email, AI APIs) in the cloud.
• Data-residency rules (DPDP Act 2023, RBI, SEBI, IRDAI guidelines) are satisfied by Indian regions of the hyperscalers and by on-prem — the deciding factor is your auditor, not the law alone.

1. Price the workload, not the philosophy

Take each workload and answer five questions:

1. Shape of load — flat 24/7, business-hours only, spiky, seasonal?
2. Data gravity — how many GB move in/out per month? (Egress is where cloud bills explode.)
3. Latency and users — where are the users? A factory MES needs sub-10 ms on the LAN; a public website wants a CDN.
4. Skills you have — can your team patch a hypervisor and replace a disk? Can they write IAM policies?
5. Exit cost — if you leave this provider in 3 years, what does it cost to move?

Score each 1–5 and the answer usually writes itself.

2. Typical monthly cost in India (2026, rounded)

Reserved/savings plans cut hyperscaler prices by 30–60% — at the cost of a 1–3 year commitment, which is precisely the flexibility you were paying for.

3. Where each model wins

Public cloud wins for: launch-stage products, anything with unknown traffic, global users, managed AI/ML APIs, serverless event processing, dev/test environments that are switched off at night.

Indian VPS/cloud wins for: WordPress and marketing sites, small SaaS, staging, mail relays, monitoring — predictable, small, price-sensitive.

On-prem / private cloud wins for: ERP, core databases, file servers, CCTV/IoT ingest, CAD/engineering workloads, anything with a 24/7 flat load above ~30 vCPU, and anything whose data your auditor wants "inside the building".

Colocation is the middle path: your hardware, their power, cooling, fibre and physical security. In Delhi NCR, Mumbai, Bengaluru and Chandigarh a half-rack with 2 kW and a 100 Mbps uplink runs ₹25–45k/month.

4. The hybrid pattern that works

Internet ──► CDN (Cloudflare/Hostinger) ──► Public web tier (cloud VPS, autoscale)
                                                 │ VPN / private link
                                                 ▼
                       Private cloud (Proxmox): app servers · DB · files · ERP · backups (PBS)
                                                 │
                                                 ▼
                            Cloud object storage (S3-compatible) for off-site backup copy

• Public pieces are stateless and replaceable; private pieces hold the data.
• Backups follow 3-2-1: production, local PBS, off-site S3 copy (Indian region).
• Monitoring (Zabbix/Prometheus) sees both sides; one on-call rotation.

5. Compliance in one paragraph

The DPDP Act 2023 does not mandate on-prem; it mandates lawful processing, purpose limitation and breach notification. Sector regulators (RBI for payment data, SEBI for market infrastructure, IRDAI for insurers) do require Indian storage/processing for specific data classes. Both hyperscaler Indian regions and a Noida data center satisfy "in India". What auditors actually check: access control, encryption at rest, backup/restore evidence, logging, and vendor contracts. Build those once; the hosting choice becomes a cost question.

6. How to decide this week

1. List your top 10 workloads with vCPU, RAM, storage, load shape.
2. Run them through the Proxmox sizer (private side) and the cloud calculator of your provider (public side).
3. Add 40% to the cloud estimate for egress, snapshots and managed add-ons — then compare.
4. Decide per workload, not per company.

If you want this done as a written blueprint with numbers your CFO will accept, that is our private cloud practice.