Cloud Migration Program
Infrastructure
A staged cutover off a single on-prem host onto managed cloud with rollback paths, not a weekend big-bang.
Unplanned Downtime
Environments
Rollback Window
Delivery Context And Business Outcome
Industry
Duration
Technology Stack
Key Outcome
Client Industry, Timeline, Team, Stack, And Result
Client Industry
Operations software
Project Timeline
12 weeks
Team Size
6 specialists
Tech Stack
Containers, managed database, CI/CD
Headline Result
Cutover with a named rollback, not a hope-and-pray DNS flip
Problem Statement, Baseline, And Success Criteria
Clear pre-project constraints and measurable targets establish how outcomes are evaluated.
Problem Statement
The live system sat on one machine with no staging twin.
Goals And Success Criteria
Where Performance Started Before Delivery
Unplanned Downtime (Before)
Environments (Before)
Rollback Window (Before)
What The Engagement Needed To Deliver
Infinoid moved a production workload to cloud in slices: data, then stateless services, then DNS — each with a measured rollback.
Cloud migration cutover board
Discovery To Optimization With Duration
Discovery
1-2 weeksStakeholder interviews, baseline audit, and scope alignment.
Design
1-2 weeksUX flows, technical architecture, and sprint planning.
Build
4-8 weeksIncremental feature delivery, integrations, and instrumentation.
QA
1-2 weeksFunctional testing, performance validation, and accessibility checks.
Launch
3-5 daysControlled release, production validation, and monitoring.
Optimization
2-4 weeksPost-launch iteration based on telemetry and user feedback.
How The Product Direction Was Resolved
Single Host Risk
The live system sat on one machine with no staging twin.
Unclear Data Size
Nobody had measured how long a restore actually took.
Vendor Lock Fear
The team needed a path that did not require rewriting the product first.
Built a staging environment that matched production enough to rehearse cutover.
Moved data with checksums and a timed restore drill before touching DNS.
Automated deploys so the next change did not require the same heroics.
Why This Approach Was Chosen
Built A Staging Environment That Matched Production Enough To Rehearse Cutover.
Tradeoff: Single host risk
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Moved Data With Checksums And A Timed Restore Drill Before Touching DNS.
Tradeoff: Unclear data size
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Automated Deploys So The Next Change Did Not Require The Same Heroics.
Tradeoff: Vendor lock fear
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Before And After Comparison With Hard Numbers
| Metric | Before | After | Delta |
|---|---|---|---|
| Unplanned Downtime | 100 index | 60 index | -40% |
| Environments | 100 index | Prod + staging isolated | Prod + staging isolated |
| Rollback Window | 100 index | < 30 min | < 30 min |
Technical Outcomes After Launch
Lighthouse Performance
Core Web Vitals
Accessibility Score
Continuous Improvement Opportunities
Expand A/B testing coverage for high-traffic user journeys.
Add deeper event-level analytics for conversion funnels.
Extend automation around regression and accessibility audits.
Next step
Planning A Cutover, Not A Slide Deck?
Share what is on-prem today. We will propose a first slice with a rollback, from the Noida desk.
What we cover
- 01
Named delivery from the Noida desk
- 02
Integrations against systems you already run
- 03
Hire dedicated engineers if you need people on your cadence
Typical first call · 30–45 min