GI Cloud and MeghRaj: India's Government Cloud Policy

MeghRaj, also called GI Cloud (Government of India Cloud), was launched by MeitY in 2013 and significantly upgraded with a cloud-first mandate in 2020. All new government IT projects are required to evaluate cloud deployment as the default option. MeghRaj provides a catalogue of empanelled cloud service providers, ensuring that government procurement follows a structured, security-vetted process (MeitY, 2023).

The practical impact of MeghRaj on private enterprises is indirect but significant. Government agencies mandated to use empanelled cloud providers create demand for Indian data centre capacity. This capacity investment by hyperscalers then becomes available to private enterprises at lower latency and cost. India's cloud pricing has dropped 18% since 2020, partly due to increased government-driven investment (NASSCOM, 2024).

PSUs and government-affiliated enterprises face specific constraints. Cloud providers must be on the MeitY empanelment list. Data classification requirements (restricted, confidential, secret) govern which workloads can go to public cloud versus private cloud or NIC (National Informatics Centre) infrastructure. PSU digital transformation programmes must map workload sensitivity before selecting cloud strategy.

The National Cloud Policy framework (under development as of 2024) is expected to consolidate guidance across MeghRaj, DPDPA data localisation requirements, and sector-specific cloud mandates from RBI, SEBI, and IRDAI. Organisations should monitor this policy evolution closely as it will directly affect permissible cloud-first approaches.

When Does Legacy-First Make Sense?

A legacy-first strategy stabilises and modernizes existing systems before introducing cloud-native architecture. It is the right choice when legacy systems are mission-critical and have complex integration dependencies that cannot be untangled incrementally. The Reserve Bank of India's 2023 cloud circular requires banks to conduct detailed risk assessments before migrating regulated workloads. This effectively mandates a legacy-assessment phase before cloud migration (Reserve Bank of India, 2023).

Legacy-first makes sense for Indian nationalised banks, insurance companies, and manufacturing conglomerates whose core systems have 20-30 years of accumulated business logic. Moving these systems to cloud without first documenting, testing, and sometimes re-engineering that logic creates unacceptable operational risk. A phased approach, stabilise, document, migrate, is slower but more reliable.

Legacy-first also suits organisations where the primary transformation goal is cost reduction rather than new revenue. Migrating a mainframe workload to a modern platform can cut operating costs by 40-60% without requiring any business model change. This is straightforwardly valuable and does not require cloud-first architecture thinking.

The Hybrid Path: Modernize and Transform in Parallel

Most Indian enterprises with annual revenues above INR 1,000 crore are running hybrid approaches, whether they label them that way or not. The bimodal IT model (coined by Gartner) describes running Mode 1 (legacy stability) and Mode 2 (cloud innovation) as parallel streams. IDC India finds 52% of large Indian enterprises formally adopt bimodal IT governance to manage this split (IDC India, 2024).

The practical implementation of bimodal IT in Indian enterprises typically looks like this: the core ERP, CBS, or ERP system stays on-premises or moves to a managed private cloud. New digital products, data platforms, and customer-facing applications are built cloud-native. A data integration layer (often Kafka, AWS Glue, or Azure Data Factory) bridges the two worlds.

The governance challenge is keeping these two speeds from creating organisational conflict. Mode 1 teams value stability and predictability. Mode 2 teams value speed and experimentation. Successful Indian enterprises create clear boundaries: different leadership, different funding mechanisms, and different success metrics. The two streams meet only at the data layer and at the business outcome level.

How Does the Choice Vary by Industry Sector?

The cloud-first versus legacy-first decision is heavily sector-dependent in India. BFSI, the largest IT spender, faces the most constraints. RBI's cloud circular, SEBI IT risk guidelines, and IRDAI's cybersecurity framework all impose risk governance requirements that slow pure cloud-first adoption. Indian banks typically run 60-70% of workloads on legacy or managed private cloud, with only 30-40% on public cloud (RBI, 2024).

Indian manufacturing and automotive companies are moving faster to cloud for operational technology (OT) use cases. IoT-driven predictive maintenance, supply chain visibility, and quality management systems are being built cloud-native because legacy OT systems cannot support these capabilities. The Automotive Industry Standard AIS-140 for vehicle tracking has pushed manufacturers toward cloud-native telematics platforms.

Healthcare in India is at an inflection point. The National Digital Health Mission (NDHM) requires ABHA-linked data interoperability. Hospitals and health systems are being pushed toward cloud to participate in the NDHM ecosystem. However, patient data sensitivity and uneven connectivity create real implementation challenges outside major metros.

Frequently Asked Questions

What is GI Cloud / MeghRaj and who must use it?

GI Cloud (Government of India Cloud), also called MeghRaj, is MeitY's cloud computing initiative mandating cloud-first evaluation for all new central government IT projects since 2020. Central government agencies and PSUs must source cloud services from empanelled providers on the MeghRaj portal. Private enterprises are not required to use MeghRaj but benefit indirectly from its data centre investment.

Does the RBI cloud circular apply to NBFCs?

Yes. The Reserve Bank of India's 2023 cloud adoption circular applies to all RBI-regulated entities including Scheduled Commercial Banks, Urban Co-operative Banks, NBFCs, and Payment System Operators. All must assess cloud migration risk using the RBI's prescribed framework before migrating regulated data to public cloud environments.

Is cloud-first cheaper than legacy-first for Indian enterprises?

Not necessarily in the short term. IDC India (2024) finds cloud-first programmes have 15-25% higher initial costs due to re-architecting requirements. However, total cost of ownership over 5 years favours cloud-first by 30-40% for new applications. Legacy-first modernization programmes recover costs faster but often require a second migration within 7-10 years as legacy platforms age again.

What cloud providers are empanelled under MeghRaj?

As of 2024, MeitY's empanelled list includes AWS, Microsoft Azure, Google Cloud, NIC Cloud, Sify, Tata Communications, and several other providers. The full list is published on the MeitY website and is updated periodically as new providers complete the empanelment process. Government agencies must use this list for all cloud procurement.

Conclusion

The cloud-first versus legacy-first debate for Indian enterprises resolves differently by sector, regulatory context, and organisation size. Government and public sector organisations now have a clear policy mandate toward cloud-first for new projects via MeghRaj. BFSI must navigate RBI, SEBI, and IRDAI constraints that slow cloud-first adoption for regulated workloads. Manufacturing and technology companies face the fewest constraints and are adopting cloud-first most aggressively.

The pragmatic path for most large Indian enterprises is bimodal: maintain legacy stability for mission-critical systems while building cloud-native capability for new digital products. This requires deliberate governance, not just technical choices. Opsio's Opsio digital transformation services include cloud strategy advisory that maps your workload portfolio against India's regulatory landscape.

For hands-on delivery in India, see Opsio cloud adoption service.