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Cloud migration means moving your applications, databases, and IT infrastructure from local servers (or an existing cloud) onto a platform like AWS, Microsoft Azure, or Google Cloud. Done right, it cuts your hardware costs, improves uptime, and lets your systems scale up during busy periods instead of crashing under load.
Done wrong, it means downtime during business hours, lost data, and a bill that's double what you budgeted for.
At Hyper Software, we've run cloud migrations for retail businesses, manufacturers, and SaaS teams who needed to get off aging servers without losing a single transaction in the process. This page covers everything you need to know before you start: the real cost, the real timeline, the strategy that fits your setup, and what usually goes wrong when businesses try to do it alone.
Cloud migration is the process of moving digital assets, meaning applications, data, workloads, and IT resources, from an on-premise data center (or another cloud) to a cloud computing environment. The goal is almost always the same: lower infrastructure costs, better scalability, and less time spent babysitting physical servers.
It's not a single event. A migration usually runs through five stages: assessment, planning, migration itself, testing, and post-migration optimization. Skip any one of these and you'll feel it later, usually in the form of an unexpected outage or a cloud bill nobody can explain.
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Most businesses don't migrate because it's trendy. They migrate because something broke, or something is about to.
guarantees.
None of these are reasons to migrate everything overnight. They're reasons to have a plan, which is exactly what the next section covers.
Every serious migration plan is built around six recognized strategies. Most businesses end up using two or three of these together, not just one, depending on the application.
|
Strategy |
What It Means |
Best For |
Typical Effort |
|
Rehost ("lift and shift") |
Move the app to the cloud as-is, no code changes |
Fast migrations, simple apps, tight deadlines |
Low |
|
Replatform |
Small cloud-friendly tweaks (e.g., move your database to a managed |
Apps that need better performance but not a |
Medium |
|
service) without rewriting the app |
rebuild |
||
|
Refactor / Re-architect |
Rebuild the app to be cloud-native (microservices, serverless) |
Core business apps that need long-term scalability |
High |
|
Repurchase |
Drop the old system and switch to a SaaS product (e.g., moving from an on-premise CRM to a cloud CRM) |
Outdated software with a good SaaS alternative available |
Low to Medium |
|
Retire |
Shut down apps nobody uses anymore |
Old, duplicate, or dead systems found during the |
None (this saves cost) |
|
audit |
|||
|
Retain |
Keep it where it is, for now |
Systems with compliance |
None |
|
restrictions or scheduled |
|||
|
for replacement |
Expert tip: Start by retiring and retaining. It sounds backward, but deciding what not to move first typically shrinks your migration scope by 15 to 20%, which lowers cost and risk before you've touched a single server.
1. Discovery and assessment. We map every application, its dependencies, and its data flows. This step alone catches most of the surprises that would otherwise show up mid-migration.
2. Strategy and cost planning. Each application gets matched to one of the 6 R's, and you get a real number, not a vague "starting from" quote.
3. Architecture design. We design the target cloud environment, including networking, security groups, and backup policy, before moving anything.
4. Pilot migration. One low-risk application moves first. This validates the process and surfaces issues while the stakes are still small.
5. Phased migration. Remaining applications move in planned batches, usually outside business hours, with rollback points at every stage.
6. Testing, cutover, and optimization. We test performance and data integrity, switch DNS and traffic over, then spend two to four weeks right-sizing resources so you're notpaying for capacity you don't use.
Cost is the question everyone asks first, and the honest answer is: it depends on how many applications you have and how much re-architecting they need, far more than which cloud provider you choose.
|
Business Size |
Typical Project Cost |
What's Included |
|
Small business (1–5 apps, |
₹2 lakh – ₹8 lakh ($2,500 – |
Lift and shift, basic security setup, DNS |
|
simple setup) |
$10,000) |
cutover |
|
Mid-size business (5–20 |
₹8 lakh – ₹30 lakh ($10,000 |
Mixed strategy, database migration, |
|
apps) |
– $36,000) |
testing, 1–3 months support |
|
Enterprise (20+ apps, |
₹30 lakh – ₹80 lakh+ |
Refactoring, compliance work, phased |
|
legacy systems) |
($36,000 – $95,000+) |
rollout, dedicated team |
On top of the migration project, budget for ongoing cloud infrastructure spend: roughly ₹5,000 to ₹50,000 a month for a small setup, scaling up from there with traffic and storage. This replaces your current hardware, AMC, and power costs, and for most businesses it nets out lower over 24 to 36 months.
What most quotes leave out: the cost of downtime during a badly planned cutover, and the "re-optimization" work needed a few months in once real usage patterns show which resources are oversized. Ask any vendor directly whether their quote includes post- migration right-sizing. Ours does.
|
Business Size |
Timeline |
Notes |
|
Small business, few simple |
4–8 weeks |
Mostly rehosting, minimal code changes |
|
apps |
||
|
Mid-size business |
3–6 months |
Mix ofrehost and replatform, phased rollout |
|
Enterprise with legacy |
6–18 |
Refactoring, compliance reviews, multiple migration |
|
systems |
months |
waves |
Two things stretch a timeline more than anything else: applications with hardcoded dependencies nobody documented, and waiting until the migration is underway to think about compliance. Both are avoidable with a proper discovery phase.
There's no single "best" provider. The right one depends on what you're already running.
|
Factor |
AWS |
Microsoft Azure |
Google Cloud |
|
Best for |
Broadest range of services, largest market share |
Businesses already on Microsoft (Windows Server, Office 365, Active Directory) |
Data analytics, AI/ML-heavy workloads |
|
India data |
Mumbai region |
Pune and Central India |
Mumbai (asia-south1) |
|
center |
regions |
region |
|
|
Pricing |
Pay-as-you-go, reserved |
Pay-as-you-go, strong |
Pay-as-you-go, per- |
|
model |
instances |
discounts via Azure Hybrid |
second billing |
|
Benefit for Windows licenses |
|||
|
Migration |
AWS Migration Hub, |
Azure Migrate |
Migrate to Virtual |
|
tooling |
Application Migration |
Machines |
|
|
Service |
|||
|
Good fit if |
You want maximum flexibility and third- |
You run Windows Server, SQL Server, or Microsoft 365 |
Your workloads lean on data warehousing or |
|
party integrations |
already |
machine learning |
This is the question that decides whether your migration finishes on schedule or turns into a six-month fire drill.
When DIY makes sense:
When hiring an agency makes sense:
What typically goes wrong doing it alone: undocumented dependencies get missed until something breaks in production; security groups get left too open because "we'll tighten it later"; and the cloud bill ends up 2 to 3 times higher than expected because nobody right- sized the resources after go-live. None of these are exotic problems. They're the same threeissues, over and over, in almost every DIY migration we've been called in to fix.
Cost comparison: DIY looks free upfront but the real cost shows up as staff time, trial-and-error cloud spend, and the cost of any downtime if something goes wrong. Hiring aspecialist typically costs ₹2 lakh to ₹30 lakh depending on scope, but comes with a testedprocess, rollback plans, and someone accountable if something breaks at 2 a.m.
Cloud migration is the process of moving applications, data, and IT infrastructure from on-premise servers, or from one cloud, to a cloud computing platform such as AWS, Azure, or Google Cloud. It's typically done to cut hardware costs, improve reliability, and make scaling easier.
For most small businesses, cloud migration costs between ₹2 lakh and ₹8 lakh (about $2,500 to $10,000). Mid-size businesses typically spend ₹8 lakh to ₹30 lakh, and enterprise migrations with legacy systems can run ₹30 lakh to ₹80 lakh or more. The exact number depends on how many applications you have and how much re-architecting they need.
A small business with a handful of simple applications can migrate in 4 to 8 weeks. Mid-size businesses usually need 3 to 6 months, and enterprises with legacy systems can take 6 to 18 months, especially if applications need refactoring.
The 6 R's are Rehost (lift and shift), Replatform, Refactor (rebuild for cloud-native), Repurchase (switch to SaaS), Retire (shut down unused apps), and Retain (keep as-is for now). Most migrations use a mix of these depending on each application's needs.
Yes, when it's planned properly. A well-run migration includes encryption in transit and at rest, strict access controls, and network segmentation. The risk isn't the cloud itself; it's skipping these security steps during a rushed migration.
There's no universal answer. AWS offers the broadest range of services, Azure is the natural fit if you already run Microsoft products like Windows Server or Office 365, and Google Cloud tends to suit data analytics and AI- heavy workloads. The right choice depends on what you're running today.
Near-zero downtime is achievable with proper planning: a pilot migration, phased rollout, and a cutover window scheduled outside business hours. Complete zero downtime is possible for some applications but usually requires a more advanced architecture, such as running old and new environments in parallel during cutover.
No, and you generally shouldn't. Phased migration, moving applications in planned batches, is safer than a single "big bang" cutover because it limits how much can go wrong at once and gives you rollback points along the way.
Rehosting ("lift and shift") moves an application to the cloud with little to no code change. It's fast and cheap but doesn't take full advantage of cloud features. Refactoring rebuilds the application to be cloud-native, which costs more upfront but delivers better long-term performance and cost savings.
Usually, yes, over a 24 to 36 month period, once you factor in hardware replacement, AMC contracts, power, and IT staff time for maintaining physical servers. Cloud costs need active monitoring though; without right-sizing, monthly bills can creep higher than expected.
Before we can quote or start a migration, we typically ask for:
You don't need all of this polished before reaching out. Most clients don't have a clean inventory when we start; building one is part of our discovery step.
Skipping the dependency map. Moving an application without knowing what it talks to is the single most common cause of post-migration outages.
Migrating everything at once. A "big bang" cutover multiplies risk. Phased, tested batches are slower on paper but far safer in practice.
Ignoring cost after go-live. Cloud bills creep up fast when nobody right-sizes instances after the initial move. Budget for a review at 30 and 90 days.
Underestimating data transfer time. Moving terabytes of data over a standard internet connection can take days, not hours. Plan the transfer method (direct
connect, physical transfer, or incremental sync) before cutover, not during it.
No rollback plan. If cutover fails, you need a tested way back to the old environment, not a scramble to figure one out at midnight.
Treating security as a "later" task. Identity and access management, encryption, and firewall rules need to be part of the architecture from day one, not bolted on afterward.
A cloud migration is also a security review, whether you plan for it or not. At minimum, expect your migration to cover:
If your business handles financial, healthcare, or government data, build compliance review into the timeline from the start. Retrofitting it after go-live almost always costs more than doing it during architecture design.
A retail business in Jaipur came to us running their order management system and customer database on a single physical server in their office. It had crashed twice in one year, once during their biggest sale weekend, and each time it took nearly a full day to get back online.
We ran a two-week discovery to map their order system, payment gateway integration, and inventory database. The order system and website were straightforward candidates for rehosting. The database, though, needed replatforming to a managed cloud database so itcould handle their traffic spikes without manual intervention.
We migrated in three phases over five weeks: first the website and static assets, then the database with a full sync-and-verify step, and finally the order processing system with a weekend cutover window to avoid any customer-facing disruption. Total downtime during the entire migration: eleven minutes, during the final DNS switch.
Eight months on, their infrastructure cost has dropped by roughly a third compared to their old server and AMC contract combined, and they've had zero unplanned downtime since go-live.
Benefits:
Drawbacks:
Weighed honestly, the drawbacks are mostly project-management problems, not reasons to avoid the cloud. They're exactly what a structured migration process is built to handle
Hyper Software has been building digital infrastructure for businesses since 2020, from custom software and CRM/ERP systems to full IT modernization projects. We treat cloud migration the same way we treat any system we build: plan thoroughly, test before we cut over, and stay accountable after launch.
That depends on your plan. Some businesses decommission old hardware immediately, others keep it running in parallel for a few weeks as a safety net, and some repurpose it for internal testing or backup storage.
Simple, single-application moves with no database and no compliance requirements can often be handled in-house if your team has cloud experience. Anything involving a live database, customer traffic, or regulatory requirements is where DIY attempts most often run into trouble, usually around security gaps or unplanned downtime.
A rough list of current applications and servers, your database type and size, any compliance requirements, and your preferred migration window. You don't need this polished; a proper discovery process will fill in the gaps.
Yes. We work with clients globally and structure our discovery calls and migration windows around your time zone and business hours.
Skipping the discovery and dependency- mapping step. Migrations that go wrong almost always trace back to an undocumented dependency, an untested rollback plan, or a cutover that wasn't scheduled around real usage patterns.
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