Moving your business to the cloud is one of the most consequential infrastructure decisions you will make. Done well, it unlocks scalability, reliability, and cost efficiency that on-premise hosting cannot match. Done poorly, it creates spiralling costs, security vulnerabilities, and operational chaos. Three factors make 2025 the right moment: AWS now operates Mumbai and Hyderabad regions (enabling sub-20ms latency for Indian users), the DPDP Act's data localisation requirements can now be met within Indian cloud regions, and cloud-native competitors are gaining structural cost advantages that make delaying migration increasingly expensive.
The 6 Rs: Choosing the Right Strategy Per Workload
- Rehost (Lift and Shift): Move servers to cloud VMs with minimal code changes. Fastest and cheapest — but you pay cloud prices for an inefficient architecture.
- Replatform: Targeted optimisations like moving to managed RDS without rewriting the application. Good middle ground.
- Refactor: Rethink and rewrite using cloud-native services. Most expensive but best long-term ROI for strategic systems.
- Repurchase: Replace custom solutions with SaaS equivalents — CRM, HR, finance tools. Often overlooked but highly effective.
- Retain: Leave workloads not worth migrating now.
- Retire: Decommission workloads no longer needed — most organisations find 10–20% can be retired immediately, reducing complexity and cost before migration even begins.
AWS vs Azure vs GCP for Indian Businesses
AWS leads for startups, e-commerce, AI/ML (SageMaker), and serverless (Lambda) — and has the deepest India partner and support ecosystem. Azure leads for enterprises using Microsoft 365, Active Directory, or SQL Server, with class-leading hybrid cloud integration. GCP is strongest for data analytics (BigQuery), Kubernetes (which Google invented), and Vertex AI — and is often cheapest for compute-heavy workloads due to automatic sustained use discounts. For most Indian startups: choose AWS for greenfield projects, Azure for Microsoft-centric enterprises, GCP if data analytics or Kubernetes at scale are core requirements. Avoid multi-cloud complexity in early stages. Read our AWS cost optimisation guide once you are live to avoid the most common billing mistakes.
The Five-Phase Migration Process
- Discovery and Assessment (Weeks 1–3): Document every application, map dependencies, baseline performance, and audit compliance obligations under DPDP and PCI DSS. Build cost models using the AWS Pricing Calculator.
- Foundation (Weeks 3–6): Set up separate accounts for dev/staging/production, configure IAM with least-privilege, design VPCs, enable CloudTrail logging, and set billing alerts from day one.
- Pilot Migration (Weeks 6–10): Migrate one non-critical workload first to exercise your runbooks and identify gaps before touching production.
- Wave Execution (Weeks 10–24+): Organise workloads by dependency order and risk tier. Migrate during defined windows with rollback plans ready. Monitor for 48–72 hours before the next wave.
- Optimisation (Month 3 onwards): Right-size instances based on real usage data, commit to reserved capacity for 40–70% discounts, implement auto-scaling, and tier storage by access frequency.
Security, DPDP Compliance, and Hidden Costs
Security non-negotiables: AES-256 encryption at rest, TLS 1.3 in transit, MFA on every console account, private subnets for databases, and continuous scanning via Amazon Inspector or Microsoft Defender. Document DPDP data flows with Indian-region residency confirmed for all personal data. Hidden costs: data egress fees (charged per GB leaving a region), AWS Business Support ($100/month minimum — never run production on free support), and third-party licensing surprises from Oracle and SAP. Realistic total costs for Indian businesses: assessment ₹2–8 lakhs, engineering and execution ₹15–60 lakhs, testing 15–20% of engineering cost, team training ₹1–3 lakhs.
The DevOps Foundation That Makes Migration Stick
Infrastructure as Code with Terraform or CloudFormation makes environments reproducible and auditable. CI/CD pipelines via GitHub Actions or AWS CodePipeline ensure consistent, safe deployments. Kubernetes via EKS, GKE, or AKS provides scalability and portability for microservices. Observability through Datadog, Grafana, or CloudWatch is essential from day one. Common mistakes that derail migrations: no rollback plan, underestimating data migration complexity, treating cloud like on-premise, and skipping the pilot phase. Our cloud solutions team has migrated fintech, healthcare, logistics, and SaaS companies to AWS, Azure, and GCP. Book a free cloud readiness assessment — a 45-minute conversation that produces a migration strategy, cost model, and phased roadmap.