A cloud migration strategy is a plan for moving your applications and data from your own servers to a cloud provider such as AWS, Microsoft Azure or Google Cloud. A good one decides, system by system, whether to move, change, replace or retire it, keeps data in India where the law or your customers need it, and moves in low-risk phases with a way back.
Cloud adoption in India is no longer a start-up story. Manufacturers, retailers, healthcare providers, logistics firms and financial services companies are moving systems off ageing servers in the office or a local data centre. The technology is mature; what usually decides success is the plan. This guide walks through that plan in the order we work through it with clients.
Why are you migrating, and how will you measure it?
Start with the business reason, because it decides what moves first and what “done” means. Common reasons:
- Hardware at end of life. The servers need replacing, and nobody wants to buy another rack.
- Scaling for peaks. Festive-season sales, exam results, month-end billing: demand that is ten times normal for a few days.
- Reliability and recovery. A single server room with one power line and a backup tape is a business risk.
- Speed of delivery. Teams spend time patching servers instead of shipping features.
Write down two or three measures before you start, such as recovery time after a failure, time to release a change, or monthly infrastructure spend. Without them, nobody can say whether the migration worked.
What should you take stock of first?
An inventory is the most useful document in the whole project. For each application, record:
| What to record | Why it matters |
|---|---|
| What it does and who uses it | Decides priority and acceptable downtime |
| Servers, databases and storage it uses | Sizes the target environment |
| What it talks to (ERP, Tally, payment gateway, SMS, e-invoicing) | Hidden dependencies break migrations |
| Personal or payment data it holds | Decides region and security controls |
| Licences tied to hardware | Some licences don’t move to the cloud as they are |
| Who owns it and who knows how it works | The person you’ll need at 2 a.m. on cut-over night |
Dependencies are where migrations go wrong. An old invoicing system that reads a shared folder on the file server, or a report that connects directly to the ERP database, will stop working the moment one side moves. Find them before you plan the order.
Which migration approach suits each system? (the 7 Rs)
Every application gets one of seven decisions. AWS and Microsoft both use versions of this list.
| Approach | What it means | When it fits |
|---|---|---|
| Retire | Switch it off | Nobody uses it, or another system already does the job |
| Retain | Leave it where it is, for now | Hardware still has life, or it’s too risky to move yet |
| Rehost | Move it as it is to cloud servers (“lift and shift”) | Stable applications you just want off old hardware |
| Relocate | Move a whole virtualised environment without changing it | Large VMware estates |
| Repurchase | Replace it with a SaaS product | Email, HR, CRM: commodity tools with good products available |
| Replatform | Move with small changes, such as a managed database | When a small change removes a lot of maintenance |
| Refactor | Rebuild parts of it for the cloud | Applications that must scale or change often |
A mixed approach is normal. A typical first wave rehosts a few stable applications, replatforms the databases onto a managed service, and retires the systems the inventory showed nobody uses.
AWS, Azure or Google Cloud: does the provider matter?
All three are capable, and all three run regions in India:
- AWS: Asia Pacific (Mumbai) and Asia Pacific (Hyderabad)
- Microsoft Azure: Central India (Pune), South India (Chennai) and West India (Mumbai)
- Google Cloud: Mumbai and Delhi
In practice, the choice usually follows what you already use. A business running Windows Server, SQL Server and Microsoft 365 often finds Azure migration simplest, because its licences and identity system carry over. Teams with Linux and open-source stacks often choose AWS. What matters more than the brand is that your team, or your partner, knows the platform well enough to run it.
Using two regions in India (for example Mumbai and Hyderabad on AWS) lets you recover from a regional outage without data leaving the country.
What do Indian data rules mean for a cloud migration?
Moving data to a cloud provider doesn’t move your responsibility for it. Several sets of rules can apply:
- Digital Personal Data Protection Act, 2023 and DPDP Rules, 2025. If you hold personal data, you remain the Data Fiduciary and the cloud provider is your Data Processor. You need reasonable security safeguards, access logs kept for at least a year, and a breach process that can report within 72 hours. Our DPDP compliance checklist covers what to build.
- RBI payment data storage. The Reserve Bank of India requires data about payment systems to be stored only in India. If you handle payments as a regulated entity, choose Indian regions and check where backups and logs go.
- CERT-In directions (2022). Organisations must report certain cyber incidents to CERT-In within six hours and keep ICT system logs for 180 days within India. Turn on logging before you migrate, not after an incident.
- Sector rules. SEBI has a cloud framework for its regulated entities, and government workloads need a MeitY-empanelled cloud service offering.
How should security be designed in?
The cloud is secure when it is configured well; most incidents come from settings, not from the provider. Build these in from the first environment:
- Identity first. One login per person, multi-factor authentication for everyone, and roles that grant only what each job needs. No shared root or admin accounts.
- Private by default. Databases and storage are never public; only the load balancer faces the internet.
- Encryption at rest and in transit, with keys managed in the provider’s key service.
- Logging and alerts on sign-ins, permission changes and data access, kept for the periods the rules above require.
- Infrastructure as code, so every environment is created from reviewed templates and can be rebuilt.
How do you keep cloud costs under control?
Cloud bills grow quietly. A few habits keep them in line:
- Rightsize after moving. On-premises servers are usually oversized; measure real use for a few weeks, then shrink.
- Switch off what’s idle. Development and test environments don’t need to run at night or at weekends.
- Commit for steady workloads. Reserved instances or savings plans cost less for systems that run all the time.
- Tag everything by team or product, so each bill has an owner.
- Set budgets and alerts from the first day.
What does a phased migration plan look like?
| Phase | What happens | Done when |
|---|---|---|
| 1. Foundation | Accounts, network, identity, logging, cost alerts, templates | A new environment can be created from code in minutes |
| 2. Pilot | Move one low-risk application end to end | It runs in the cloud, monitored, with a tested rollback |
| 3. Waves | Move groups of related applications together | Each wave passes its checks and the old servers are switched off |
| 4. Optimise | Rightsize, replatform to managed services, automate | Costs and recovery times meet the measures you set at the start |
For every cut-over, agree the downtime window with users, rehearse it in a test environment, and write down the rollback steps. Keep the old system available read-only until the new one has run cleanly for a while.
Planning your migration
The businesses that migrate smoothly are rarely the ones with the biggest budgets. They took stock properly, moved something small first, and trained their team as they went, because the cloud changes how systems are run, not just where they run.
If you’d like help with the inventory, the plan or the build, we do this as part of our custom software development work, including modernising applications so they run well in the cloud. Talk to our engineers about your systems and goals.
Frequently asked questions
What are the 7 Rs of cloud migration?
Retire, retain, rehost, relocate, repurchase, replatform and refactor. They are the options for each application: switch it off, leave it where it is, move it as it is, move it with small changes, replace it with a SaaS product, or rebuild it for the cloud. Most migrations use several of them.
Can we keep our data in India if we move to the cloud?
Yes. AWS, Microsoft Azure and Google Cloud all run regions in India, for example AWS in Mumbai and Hyderabad, Azure in Pune, Chennai and Mumbai, and Google Cloud in Mumbai and Delhi. Choose an Indian region for workloads that must stay in the country, and check where backups, logs and support tools store data too.
How long does a cloud migration take?
It depends on how many systems you have and how tangled they are. Moving a single web application can take weeks; moving a whole estate usually runs in waves over several months. The inventory and dependency mapping at the start is what makes the timeline predictable.
Is it cheaper to run in the cloud?
It can be, but not automatically. Savings come from switching off idle resources, rightsizing, using managed services and buying reserved capacity for steady workloads. A straight lift-and-shift of oversized servers often costs more than the hardware it replaced. Set budgets and alerts from the first day.
