“Move to the cloud and cut your infrastructure costs by 40%.” You’ve heard this pitch. Sometimes it’s true. Often it isn’t — especially when migration is done without a clear strategy.

We’ve helped dozens of Indian SMEs migrate workloads to AWS, Azure, and Google Cloud. The ones that saw real cost and agility benefits followed a disciplined process. The ones that ended up with higher bills and more complexity than before skipped that process and just “lifted and shifted.”

This is a practical guide — not a sales pitch for cloud — to help you make the right decisions for your business.

Step 1: Audit Before You Migrate

The single most important thing you can do before touching a cloud console is understand what you’re running on-premise. Not at a surface level — at a detailed level.

For each workload, document:

Current resource consumption: CPU, RAM, storage, network (not peak, but average and P95)
Usage patterns: Is this 24/7? Business-hours only? Batch overnight?
Dependencies: What does this system talk to? What talks to it?
Compliance requirements: Does this handle PII? Payment data? Health records?

This audit typically takes 2–3 weeks for an SME with 10–30 servers. It sounds slow. But we’ve seen clients save ₹15–20 lakhs annually by right-sizing during migration — savings that are only possible if you know your actual resource consumption before you migrate.

Step 2: Classify Your Workloads

Not everything should go to cloud in the same way. Use the classic 5Rs framework, adapted for the Indian SME context:

Strategy	When to use	Example
Rehost (Lift & Shift)	Short timeline, minimal risk tolerance	Legacy ERP you can’t touch
Replatform	Minor optimisation possible	Move MySQL to RDS managed service
Refactor	High-traffic, scalability is the problem	Monolith → microservices
Retire	Redundant or unused	Shadow IT, old reporting servers
Retain	Compliance or latency keeps it on-prem	Real-time manufacturing control

For most Indian SMEs, the realistic starting point is rehost + selective replatform. Full refactoring is a multi-year journey, not a migration project.

Step 3: Choose the Right Cloud Region

For Indian businesses, Mumbai (ap-south-1 on AWS, Central India on Azure) is the default choice for compliance and latency. If you handle financial data, health records, or any data that touches Indian citizens, you need data residency in India — both for regulatory comfort and for the forthcoming DPDP Act requirements.

The Mumbai region is now mature on both AWS and Azure. Most services are available, pricing is comparable to Singapore, and latency to Indian end users is 10–20ms versus 40–70ms from Singapore. There’s no longer a good reason to default to Singapore.

Step 4: Plan Your Network Architecture First

Most SME cloud migrations go wrong in the network layer. Before provisioning any compute, design your VPC (Virtual Private Cloud) architecture:

Production and development in separate VPCs — always
Private subnets for databases and backend services — never expose databases to the internet directly
Bastion host or AWS Systems Manager Session Manager for admin access — no open SSH to the internet
NAT Gateway for outbound-only internet access from private subnets

This is not optional complexity. A flat network architecture with everything in public subnets is a security incident waiting to happen.

Step 5: Start with a Pilot Workload

Don’t migrate everything at once. Pick a workload that is:

Non-critical (so downtime during migration isn’t catastrophic)
Representative (so you learn something useful)
Measurable (so you can compare before/after costs and performance)

A staging environment, internal tool, or test database is ideal. Run it in cloud for 4–6 weeks. Measure the actual cost. Observe the operational patterns. Fix the surprises before they happen at scale.

The Cost Surprises Nobody Warns You About

Cloud bills have a way of being higher than expected. The common culprits:

Data egress charges — Moving data out of the cloud costs money. If your architecture moves large volumes of data between cloud and on-premise systems, this adds up quickly. Design for it upfront.

Oversized instances — Teams often default to large instances “to be safe.” Right-size from day one, or use auto-scaling from day one.

Unattached storage — Snapshots, orphaned EBS volumes, and forgotten S3 buckets accumulate costs silently. Tag everything and review monthly.

Nat Gateway costs — Surprisingly expensive for high-traffic workloads. Consider VPC endpoints for services like S3 that support them.

What a Realistic Timeline Looks Like

For an SME with 15–25 servers and a 12-month target:

Months 1–2: Audit, classify, design network architecture, set up landing zone
Months 3–4: Pilot migration, establish CI/CD pipelines, train team
Months 5–8: Wave 1 migrations (non-critical workloads)
Months 9–11: Wave 2 migrations (production workloads, with cut-over plans)
Month 12: Decommission on-premise, optimise costs

This is a realistic pace that includes time for testing, training, and the inevitable surprises. Vendors who promise to migrate your entire estate in 8 weeks are setting you up for a painful experience.

At WorkRoot, we offer cloud migration advisory and implementation services anchored in honest assessment — including telling you when a workload is better left on-premise. If you’d like a free preliminary audit of your current infrastructure, reach out to us.

WorkRoot IT Solutions LLP helps Indian SMEs and enterprises plan and execute cloud migrations on AWS, Azure, and Google Cloud.

Cloud Migration for Indian SMEs: A Practical Roadmap Without the Hype