Cloud & Infrastructure

Cloud Migration Guide for Indian Businesses: From On-Premise to Cloud

Migrating from on-premise infrastructure to the cloud is one of the most significant IT decisions a business makes. Done well, it reduces costs, improves reliability, and unlocks capabilities that on-premise infrastructure cannot provide. Done poorly, it creates new risks and disappointments. This guide walks you through the complete migration journey.

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NeevCore Cloud Team

March 2025 · 9 min read

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:

Rehost

Lift-and-shift: move workloads to cloud VMs without architectural changes. Fast and low-risk, but doesn't optimise for cloud-native capabilities.

Replatform

Minor optimisations during migration — e.g., moving from self-managed MySQL to AWS RDS. Captures some cloud benefits without full re-architecture.

Refactor

Redesign applications to be cloud-native — microservices, containers, serverless. Highest effort, highest long-term benefit.

Repurchase

Replace on-premise software with SaaS equivalent (e.g., replace on-premise Exchange with Microsoft 365).

Retain

Keep certain workloads on-premise — typically those with specific latency, regulatory, or integration requirements.

Retire

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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