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Prateek Navani
Prateek Navani

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Enterprise Cloud Migration: Key Considerations for Indian Businesses

Cloud migration used to be a simple pitch: move off your servers, save money, scale on demand. For Indian enterprises today, the decision is more layered. Compliance rules have tightened. Cloud bills have grown unpredictable. And the assumption that a global hyperscaler is automatically the right fit is being questioned more often, especially by mid-size companies with real workloads and real budgets on the line.
If your organisation is planning a migration, here's what actually matters before you sign a contract.
Start with why you're migrating
Most migrations get justified with one of three reasons: cost, scale, or compliance. Rarely all three at once, and the reason should shape the plan.
If cost is the driver, look closely at your current spend. Bandwidth charges, storage tiers, and auto-scaling fees add up in ways that rarely match the sticker price teams budgeted for. If scale is the driver, the question is whether your workload actually needs the breadth a hyperscaler offers, or whether you're paying for hundreds of services you'll never touch. If compliance is the driver, data residency and audit requirements should be the first filter, not an afterthought.
Data residency and compliance
For Indian businesses, DPDP Act requirements, along with RBI and SEBI guidelines for regulated sectors, increasingly dictate where data can legally sit. This isn't a checkbox. It determines your shortlist of providers before pricing even enters the conversation.
Confirm three things with any provider: where the datacentres physically are, whether the billing entity is India-registered, and whether the provider can produce compliance documentation on request, not just a marketing claim. A provider that can name the datacentre city and the entity name without hesitation has usually done the legwork. One that answers in generalities probably hasn't.
The real cost of a migration
Sticker price is the easiest number to compare and the least useful one. The real cost includes egress fees when moving data out, the internal hours spent managing a complex console, and the cost of downtime during the cutover itself.
Enterprises that have already run workloads on a major cloud for a year or two tend to describe the same pattern: costs that were hard to forecast, complexity that required a dedicated person just to manage the platform, and support tiers that cost extra on top of the base bill. None of this shows up in a pricing calculator. It shows up three months into production.
Currency exposure is a detail most teams miss
If you're being billed in USD, or in INR that's recalculated from USD on a monthly cycle, your infrastructure cost moves with the exchange rate whether you notice it or not. This is a real line item for finance teams, not a technicality. A provider billing natively in INR, with no upstream currency conversion, removes that variable entirely rather than just delaying when it hits you.
Match the platform to what you'll actually use
Enterprise-grade hyperscalers earn their reputation through breadth: hundreds of services, deep tooling for AI and analytics, tight integration with existing Microsoft or Google ecosystems. That breadth is genuinely valuable if your team uses a meaningful slice of it.
But if your actual footprint is VMs, storage, and basic networking, you may be paying enterprise-platform prices for what amounts to commodity infrastructure. Before migrating, audit what services you use today versus what you're licensed for. The gap is usually larger than teams expect, and it's the single biggest lever for cost control post-migration.
Support quality decides how the first outage goes
Every provider promises uptime. What separates a good migration from a bad one is what happens in the two hours after something breaks. Ask for a real number: average resolution time, not a marketing SLA. Ask who picks up the phone, and whether that person has context on your account or is reading from a script.
For IT teams making the recommendation internally, this is the detail that protects their credibility when leadership asks what went wrong.
Plan the cutover, don't wing it
A phased migration, workload by workload, with a clear rollback plan, is worth the extra weeks it takes to plan properly. Enterprises that rush a full cutover in one weekend tend to discover missing dependencies in production rather than in testing. Start with non-critical workloads, validate performance and cost assumptions against your actual usage, then move the workloads where downtime actually hurts.
Weighing hyperscalers against India-focused providers
There's no universal right answer here, it depends on what your organisation actually needs. Teams with deep Active Directory dependencies or heavy AI/ML tooling requirements will find switching costs real and sometimes not worth it. Teams whose usage is closer to core infrastructure, plain compute, storage, and networking, often find that Azure alternatives in India built specifically around India datacentres and INR billing solve the same problem with less operational overhead and clearer cost control.
The right move is an honest audit of what you use, not a reflexive choice between "global" and "local."
The bottom line
Enterprise cloud migration in India isn't just a technical decision anymore. It's a compliance decision, a finance decision, and an operational one, all at the same time. The businesses that get it right start by asking what they actually need, not what's easiest to default to. The ones that get it wrong usually find out three months post-migration, when the bill doesn't match the plan and the support ticket takes six hours to get a response.
Do the audit first. Pick the platform second.

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