Cloud Migration in 4 Phases: Assessment to Cutover

Successful migrations treat cloud as architecture evolution—not datacenter relocation. Four phases keep risk bounded.

This guide is written for owners, IT heads, and operations leaders evaluating software investments in India— with practical cost ranges, build-vs-buy frameworks, and implementation checklists you can use in vendor meetings.

Phase 1: Assessment

Dependency mapping, compliance requirements, and TCO modeling before touching production.

Phase 4: Cutover

Blue-green deployments with rollback plans tested under load.

AWS cost optimization without sacrificing reliability

SME production workloads often overspend on oversized RDS instances and always-on dev environments. Right-size after 30 days of CloudWatch metrics; use reserved instances for stable baselines.

• Separate dev/staging auto-shutdown schedules
• S3 lifecycle policies for logs and backups
• CloudFront for static assets
• Alert on monthly budget thresholds

Migration phases that minimize downtime

Assessment → parallel run → cutover is safer than big-bang. Database migration with dual-write periods protects against reconciliation gaps.

Key takeaways for decision-makers

Start with measurable pain—inventory accuracy, lead response time, or month-end close duration. Software ROI should be expressed in hours saved and error reduction, not features shipped.

Sequence implementation in phases with weekly demos. Avoid big-bang go-lives across all plants or departments simultaneously.

• Quantify baseline metrics before project kickoff
• Run paid discovery before fixed-price build contracts
• Demand IP ownership and exportable data
• Plan hypercare for 4–6 weeks post go-live