Choose a cloud provider for an Indian workload by matching its exact services and data-handling boundaries to your data classification, regulator-specific obligations, and operational controls—not by provider brand or the presence of an India region. Define where data may be stored, replicated, accessed, and processed; verify that each required service supports those boundaries; then document the controls, contract terms, and residual risks your organization must manage.
Start with the workload and the rules that apply to it
There is no provider that can be declared compliant for every Indian organization or workload. The answer depends on what data is involved, what the system does, which entity operates it, and which laws, regulatory directions, or contractual commitments apply.
Classify the data and purpose
Inventory the information the workload creates, receives, stores, and derives. Include personal data and any relevant payment, financial, health, government, or business-confidential information. Identify the system of record, the processing purpose, and the teams or vendors that can access it. The classification should inform where the workload may run and what evidence and controls are needed.
Identify the regulator and applicable requirements
The Digital Personal Data Protection Act, 2023 is relevant when personal data is processed, but its relevance alone does not establish the location rule for every workload. Determine the specific obligations that apply to the organization and activity. For financial services, AWS’s India financial-services guidance points customers to materials concerning the Reserve Bank of India (RBI), Insurance Regulatory and Development Authority of India (IRDAI), Securities and Exchange Board of India (SEBI), and International Financial Services Centres Authority (IFSCA). Which requirements apply depends on the entity and workload; confirm them with the compliance lead or counsel.
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The RBI Master Direction on Outsourcing of Information Technology Services treats cloud adoption as an ongoing governance and risk-management responsibility for regulated entities. Its cloud considerations include risks from multi-tenancy and multi-location storage or processing, documented cloud-adoption governance, due diligence and ongoing monitoring of the cloud service provider (CSP), and coverage of data from generation through permanent deletion. It also calls for privacy, security, data sovereignty, recoverability, and storage needs to be addressed in line with data classification. These are not boxes a provider’s marketing page can check on the regulated entity’s behalf.
For cybersecurity obligations, consult the applicable CERT-In directions and FAQs directly. Do not rely on an old summary for operational deadlines or log-retention requirements.
Define what “data residency in India” means for this workload
A requirement that data remain in India can cover more than the primary database. Write down the allowed locations and access conditions for each data flow, including derived data and operational records. Make the boundary specific enough that an engineer can test it and a reviewer can verify it.
- At rest: production databases, object and file storage, snapshots, archives, backups, and replicas.
- In transit: transfers between services, regions, providers, and organizational networks, including managed-service data flows.
- In use: where processing occurs, including analytics, security tooling, support diagnostics, and AI prompts and completions.
- Access and control: where provider or subcontractor personnel may access data, how privileged access is approved and logged, and who controls encryption keys.
- Operational data: logs, telemetry, crash dumps, support tickets, and service-generated metadata that may contain customer content or identifying details.
- End of life: how data is returned or exported, deleted from active systems, and handled in backups when the service ends.
For each category, record whether it must stay in India, whether access from outside India is permitted, and what evidence will demonstrate compliance. A region setting by itself does not answer those questions.
Compare providers at the service level
Official provider documentation describes useful controls, but the commitments have service-specific boundaries and exceptions. Compare the exact services and deployment types your design needs, not just the provider’s headline region statement.
| Provider | What its official documentation says | What to verify for your workload |
|---|---|---|
| AWS | AWS says customers choose the geographic Region for their content and that content in the Mumbai Region will not move to another Region unless legally required or the customer moves it. AWS also describes a shared-responsibility model and provides India financial-services guidance. | Check each service’s location behavior, cross-Region features, backup and replication settings, support access, and account configuration. AWS’s description is not a determination that a customer workload complies. |
| Microsoft Azure | Microsoft describes data residency by geography and documents exceptions. Selected features may process data outside the selected geography; Global AI deployment types may process prompts and completions globally; preview or prerelease services may store data in the United States or globally. | Check the service-specific commitment and deployment type, especially for AI, security, support, and preview functionality. Do not assume all services inherit the same boundary. |
| Google Cloud | Google’s India Data Boundary describes data-location controls supporting India-only regions and lists supported products, limitations, and organization-policy constraints. Google warns that unsupported products may affect residency or sovereignty. | Confirm every required product and feature is supported, enforce allowed locations through organization policy, and review the stated restrictions—including limits affecting data in use or in transit. |
These statements come from AWS’s India Data Protection and India financial-services materials, Microsoft’s Data Residency in Azure documentation, and Google Cloud’s India Data Boundary documentation. Provider documentation can change; check the current service-specific terms and supported-service lists during selection and again when the architecture changes.
How do I choose a cloud provider in India?
- Build the workload inventory. List its data categories, purposes, systems of record, integrations, users, and vendors. Mark which data is regulated or subject to a contractual location promise.
- Map obligations to the workload. Identify the responsible entity, relevant regulator and directions, privacy obligations, and any customer or partner commitments. Record unresolved interpretations for the compliance lead or counsel.
- Set the boundary. Specify permitted locations and access for storage, replication, backups, logs, support, processing, AI inference, and deletion. State separately whether data must be in India at rest, in transit, or in use.
- Shortlist services, not logos. Map every required database, storage, networking, analytics, identity, security, backup, and AI service to the provider’s India availability and residency documentation. Record unsupported features and exceptions rather than assuming a whole region shares one guarantee.
- Test enforcement. Use organization-level policies and account controls to block unapproved locations and prohibited cross-Region features. Test both the expected configuration and likely failure paths, such as a team creating a resource in a default or secondary location.
- Review security and operations. Assess identity and privileged-access controls, key management, audit logs, incident response, recovery objectives, deletion evidence, and provider support access. Decide who owns each configuration and how it will be monitored.
- Review evidence and contract terms. Examine current attestations and audit reports for the relevant service and region. Review audit and inspection rights, subcontractors, jurisdiction, confidentiality, breach notice, continuity, exit, data return, and deletion terms.
- Record the decision and revisit it. Document the selected services, evidence, control owners, residual risks, compensating controls, and review date. Reassess after material regulatory, service, or architecture changes.
What can make an India-region design fail its residency requirement?
Common gaps arise outside the primary data store. A design may place its database in India but send backups to another Region, write sensitive content into global telemetry, allow support access under a broader model than the organization permits, or use an AI deployment type that processes prompts globally. A preview feature or unsupported product can also fall outside the documented boundary. Treat these as data flows to verify, not as exceptions to discover after launch.
Test the complete design, including recovery and exit paths. Confirm where replication and backups land, which locations can receive logs and diagnostics, what happens during support escalation, how keys and privileged access are controlled, and what deletion evidence is available when content is removed. If a required service cannot meet the boundary, select a different service or design, or obtain an approved exception with documented controls; do not treat the provider’s regional footprint as proof that the gap is closed.
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What evidence should support the final decision?
Keep an auditable record that connects the obligation to the architecture and its controls. A useful decision file includes:
- the data classification, processing purpose, and applicable regulatory or contractual requirements;
- the service-by-service location and access assessment, including documented exceptions;
- policy tests showing that prohibited locations and features are blocked;
- current, relevant provider attestations and audit evidence for the services and regions selected;
- control owners for identity, keys, logging, incident response, recovery, and deletion;
- contract review findings covering audit, subcontractors, continuity, exit, return, and deletion; and
- residual risks, approved compensating controls, and the date or trigger for reassessment.
A general certification or an India-region selection is one input to this record, not proof that the customer’s configuration, use of services, and governance meet every applicable obligation.
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