Services // AWS Migration
Move to AWS without a weekend of everyone holding their breath.
I plan and run AWS migrations out of Delhi NCR off-premise, off another cloud, or off an old AWS account nobody wants to touch anymore. The goal is a boring migration: staged, tested, with a rollback at every step, so "cutover day" isn't the scariest day on the calendar.
This is specifically about getting you onto AWS safely. Once you're there, the architecture and operations work is a separate conversation this page is about the move itself.
Start with a migration assessment →Where you might be moving from
Each one breaks in a different place
On-Premise to AWS
Moving off physical servers or a data center contract that's ending. This usually means rethinking a few things along the way what actually needs a dedicated server versus what can just be a managed service rather than recreating the same setup in EC2.
Another Cloud to AWS
Coming from Azure, GCP, or a smaller provider. The tricky part is rarely the compute it's the managed services you were relying on (queues, auth, storage triggers) that don't have a direct AWS equivalent and need a real replacement, not a workaround.
Legacy AWS Account Rebuild
You're already on AWS, but the account was set up five years ago by whoever was around at the time. Old instance types, no infrastructure-as-code, everything clicked together by hand. This is a migration too just within the same cloud.
Database Migration
Moving to RDS, Aurora, or DynamoDB without losing data or taking the app down for a weekend. Replication, validation, and a cutover window that's measured in minutes, not hours.
How much of it I actually run
Depends on where your team wants to stay involved
Migration Assessment
Before anything moves, I map what you actually have dependencies, data volumes, what breaks if it goes down for five minutes versus five hours and give you a realistic plan and timeline.
Managed Migration
I run the migration end to end, in stages, with a tested rollback at each one. You're not finding out something broke by watching your error dashboard.
Cutover Support Only
Your team has done the migration work and just wants an experienced second pair of hands for the actual cutover the part where a mistake is expensive.
How the migration actually runs
Staged, not a single leap
Map what exists
Every service, every dependency, every "oh, that one server also runs the thing nobody remembers setting up." This step alone catches most of what would've gone wrong.
Plan the sequence
What moves first, what needs to stay in sync during the transition, and where the safe rollback points are if something doesn't go as expected.
Migrate in stages
Rarely a single cutover. Non-critical pieces move first to validate the approach before anything customer-facing is touched.
Validate, then decommission
Old infrastructure stays alive until the new setup has proven itself under real traffic not just in a demo. Then, and only then, does it get switched off.
Questions people actually ask
Before the discovery call
How much downtime does an AWS migration actually need?
For most applications, close to none, if it's planned properly a short cutover window measured in minutes, usually scheduled during low traffic. The exceptions are mostly database-heavy systems where the last sync has to be tight. I'll tell you the realistic number for your setup during the assessment, not a generic "zero downtime" promise that doesn't hold up under a real database.
How long does a typical migration take?
A single application with a reasonably modern stack: a few weeks. A full data center exit or a large legacy system: a few months. It depends entirely on how many hidden dependencies show up during the mapping stage which is exactly why that stage happens first, before anyone commits to a timeline.
Can you migrate from Azure or GCP to AWS?
Yes. The core infrastructure translates reasonably well; the real work is usually replacing managed services that don't have a like-for-like AWS equivalent that's where migrations from other clouds tend to go over budget if it isn't scoped properly upfront.
What happens if something goes wrong during the migration?
Every stage has a tested rollback before it starts, not just a theoretical one. If a cutover doesn't go as expected, we revert to the previous state and figure out why before trying again we don't improvise fixes on a live production system.
Do you migrate the database too, or just the application layer?
Both, and usually the database is the part that needs the most care. Depending on the engine and the tolerance for downtime, that might mean AWS DMS, native replication, or a custom sync process for anything DMS doesn't handle cleanly.
Is this a one-time project or ongoing work?
Migration itself is a project with a clear end point. A lot of clients then move into an ongoing arrangement afterward for the operational side deployments, scaling, monitoring once the new infrastructure is live, but that's a separate conversation and not required.
Know what you're moving before you move it.
A short assessment tells you what the migration actually involves before you commit to a timeline or a budget.
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