Why Indian businesses are migrating to the cloud
The business case for cloud in India has never been stronger. AWS, Azure, and GCP all have India-based data centres (in Mumbai and Hyderabad), making local data residency straightforward. Internet connectivity has improved dramatically. And the cost models have matured — most Indian businesses find that cloud TCO is lower than on-premise TCO once operational costs, power, hardware refresh cycles, and DR are factored in.
The key drivers for Indian businesses migrating to cloud in 2025:
- End of life hardware: legacy servers reaching end of support life
- Scalability needs: inability to scale on-premise infrastructure quickly
- Remote work requirements: need for reliable remote access without VPN bottlenecks
- Disaster recovery: inadequate or costly on-premise DR capabilities
- DPDP compliance: cloud providers offer built-in encryption, audit logging, and access controls required by the DPDP Act
- Cost predictability: moving from capital expenditure to operational expenditure
The 6 Rs of cloud migration
Before planning a migration, each workload needs a strategy. The industry-standard framework is the 6 Rs:
Lift-and-shift: move workloads to cloud VMs without architectural changes. Fast and low-risk, but doesn't optimise for cloud-native capabilities.
Minor optimisations during migration — e.g., moving from self-managed MySQL to AWS RDS. Captures some cloud benefits without full re-architecture.
Redesign applications to be cloud-native — microservices, containers, serverless. Highest effort, highest long-term benefit.
Replace on-premise software with SaaS equivalent (e.g., replace on-premise Exchange with Microsoft 365).
Keep certain workloads on-premise — typically those with specific latency, regulatory, or integration requirements.
Decommission workloads that are no longer needed — migration is a great opportunity for rationalisation.
Phase 1: Assessment & Planning
The most common cause of cloud migration failures is insufficient upfront assessment. Before moving a single workload, you need to understand your current state.
- Workload inventory: catalogue all applications, servers, databases, and services. Note dependencies between them — migrating an application without its dependencies leads to outages.
- Data classification: identify which data is sensitive (personal data under DPDP, financial data, health records) and what residency and access control requirements apply.
- Performance baselines: document current CPU, memory, storage, and network utilisation for each workload. This informs cloud instance sizing.
- Migration sequencing: not all workloads should move at once. Start with low-risk, non-critical workloads to build cloud operational competency.
Phase 2: Architecture & Landing Zone
A cloud landing zone is the foundational architecture into which workloads are migrated. Getting this right before migration saves significant remediation effort later.
- Network architecture: VPCs/VNets, subnets, security groups, peering, and connectivity to on-premise systems (VPN or Direct Connect/ExpressRoute).
- Identity & access: cloud IAM roles aligned with least-privilege principles. Integration with existing Active Directory or identity providers via SSO.
- Security baseline: CloudTrail/Activity Log enabled, GuardDuty/Defender for Cloud active, encryption at rest configured by default, and S3 bucket policies set to deny public access.
- Cost governance: tagging strategy for cost allocation, budget alerts, and cost anomaly detection configured before workloads are deployed.
Phase 3: Migration Execution
Migration execution follows a phased approach — moving workloads in priority order with validation checkpoints between phases.
- Wave 1: development and test environments. Low risk, high learning value.
- Wave 2: non-critical production workloads. Internal tools, websites, reporting systems.
- Wave 3: business-critical systems. ERP, CRM, database servers, financial systems. Requires detailed cutover planning with defined rollback procedures.
Each wave should include: pre-migration testing, performance validation in cloud, security review, and a defined cutover window with minimal business impact.
Phase 4: Optimisation & Managed Operations
Migrating to cloud is not the end of the journey — it's the beginning of cloud operations. Most organisations realise that running cloud well requires ongoing attention.
- Right-sizing: the first 3–6 months of cloud operation reveals actual usage patterns. Downsize over-provisioned instances for immediate cost savings.
- Reserved instances: for stable, predictable workloads, 1-year reserved instances can reduce compute costs by 30–40% compared to on-demand pricing.
- Monitoring & alerting: implement centralised log management, metrics dashboards, and automated alerting for availability and cost anomalies.
- Backup & DR testing: verify that backup jobs complete successfully and that DR procedures work as designed. Test full restoration monthly.
NeevCore Cloud & Infrastructure Services
From assessment and migration planning to managed cloud operations — NeevCore's cloud team has delivered migrations for businesses across AWS and Azure. Free initial assessment available.
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