Government & Public Sector

Cloud Migration for Government & Public Sector

Cloud Migration for government & public sector, built around the constraint that defines the sector: procurement, data sovereignty and accessibility obligations shape the architecture before anything else.

Regulations in scope
5
Systems we integrate
4
Typical first release
6 weeks

What changes when it is government & public sector

Cloud is not automatically cheaper. Lifting an oversized on-premise workload into a cloud instance frequently costs more, and we model it honestly before anyone commits.

In government & public sector, procurement, data sovereignty and accessibility obligations shape the architecture before anything else. That single fact reshapes how cloud migration has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is case file processing, usually integrated against grievance platforms. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

The sector constraints we design around

Defining constraint
procurement, data sovereignty and accessibility obligations shape the architecture before anything else
Regulations in scope
DPDP Act 2023 · RTI obligations · GIGW accessibility guidelines · government cloud empanelment · e-governance standards
Systems of record
departmental portals · DigiLocker and Aadhaar-linked services · legacy record systems · grievance platforms
Where we usually start
citizen grievance triage

Cloud Migration workloads in government & public sector

  • citizen grievance triage
  • scheme eligibility checking
  • records digitisation
  • multilingual service delivery
  • case file processing

What is included

  • Inventory of every workload, dependency and integration before planning
  • Cost model comparing current spend against realistic cloud spend
  • Migration approach per workload rather than one strategy for all
  • Staged cutover with rollback at each step
  • Security posture, network design and access control
  • Post-migration cost optimisation, because the first bill is never the last word

Questions from this sector

Can AI systems be procured under GeM?

Yes, and we structure deliverables to fit standard procurement categories and evaluation criteria.

Does it work in regional languages?

It has to. Public services in India are multilingual by obligation, and we build for that rather than adding translation later.

Will cloud reduce our costs?

Sometimes, and not automatically. Variable and spiky workloads usually save; steady heavy compute often does not. The cost model in week one gives you the real answer for your estate.

Can we migrate without downtime?

For most workloads, yes, with staged cutover and parallel running. Some database migrations need a short planned window, which we rehearse rather than improvise.

Should we go multi-cloud?

Rarely, unless you have a specific reason. Multi-cloud doubles operational complexity and most organisations do not recover that cost in resilience or leverage.

Cloud Migration for government & public sector, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878