Aizaz
Cloud Migration
Move off legacy servers, cramped hosting, or messy multi cloud setups with a migration plan that protects uptime and data integrity.
- Senior-led
- Production-minded
- Built to hand over
The engagement
From a real constraint to a system that works.
The problem
Your product still runs on aging servers, a single VPS, or a cloud setup nobody fully understands. Leadership wants migration benefits — scale, security, cost control — but the risk of downtime or data loss blocks every decision.
How we help
We plan and execute cloud migrations with phased cutovers, rollback options, and validation at every step. Senior engineers map dependencies, migrate data safely, and leave you with documented AWS infrastructure your team can operate.
What we can own
Senior execution across the critical path.
- 01
Migration readiness assessment and dependency mapping
↗ - 02
Database migration with replication and cutover planning
- 03
Application containerization and replatforming
↗ - 04
DNS and traffic shifting with minimal downtime
- 05
Data integrity validation and rollback procedures
- 06
Post migration performance tuning and cost review
↗ - 07
Team handoff with runbooks and operational docs
Where it creates value
Built around real operating scenarios.
On premise servers → AWS ECS → database replication → weekend cutover
Shared hosting → AWS RDS and EC2 → SSL and CDN → go live
Heroku exit → containerized AWS → cost reduction → scale ready
Multi region expansion → AWS architecture → data replication → launch
Why Aizaz Studio
Built for momentum without creating tomorrow’s mess.
A staged cutover plan
Applications, data, integrations, DNS, and traffic move in an order that keeps the system testable at each step.
Data integrity protected
Replication, validation, backups, reconciliation, and rollback criteria are defined before production migration begins.
A stable target environment
Security, monitoring, delivery, recovery, and cost ownership are built into the destination rather than deferred until after cutover.
Rehost, replatform, or refactor
A migration can move the existing workload largely as-is, replace selected infrastructure with managed services, or change application boundaries. We choose per component based on business value, operational risk, licensing, performance, and the team’s ability to maintain the result.
Using one strategy for the entire system often creates either unnecessary change or carries the old constraints into the new environment.
Planning migration downtime and rollback
The cutover plan identifies writes, queues, scheduled work, third-party callbacks, DNS, and data that can change during migration. Rehearsals measure transfer time and validate checksums or business totals. The rollback point is explicit, along with the data reconciliation required if traffic has already moved.
For systems that cannot pause, replication and phased traffic movement reduce the cutover window.
What happens after the move
A migration is complete only when backups are tested, alerts have owners, deployment is repeatable, access is reviewed, costs are visible, and the legacy environment has a safe retirement plan. Post-cutover monitoring catches workload assumptions that were not visible in staging.
Migration planning
The destination architecture should be justified before cutover
Cloud migrations are safest when workload, data, recovery, and operating constraints decide the target. Our AWS service page explains how we frame those architecture choices.
How we deliver
A clear path from context to production.
- 01
Discover dependencies
Inventory workloads, data, integrations, traffic, access, recovery needs, and the operational constraints of the current platform.
- 02
Build and rehearse
Create the target environment, automate deployment, migrate representative data, and rehearse validation and rollback.
- 03
Cut over and stabilize
Move data and traffic in controlled stages, reconcile business records, monitor production, and retire legacy resources safely.
FAQs
Frequently Asked Questions
How do you minimize downtime during migration?+
We use replication, blue green deploys, and staged traffic shifting so cutover windows are measured in minutes, not hours of outage.
Can you migrate without rewriting our application?+
Often yes. Many migrations lift and shift or containerize existing apps first, then optimize architecture after stability is proven.
What if our database is large or complex?+
We plan incremental sync, validate row counts and checksums, and rehearse cutover before the production window.
Do you handle compliance requirements during migration?+
We configure encryption, access controls, and logging aligned with your compliance needs as part of the target architecture.
How long does a typical cloud migration take?+
Simple app migrations complete in a few weeks. Complex multi service systems with large databases may take one to three months with phased rollout.
Next step
Plan the migration before the cutover
Bring the current workload, target constraints, data volume, and downtime tolerance. We will map dependencies and migration options. hello@aizaz.studio +92 334 2056691