G-P18 · TOPIC · public-cloud-and-concentratiGCRI dossier · service level R0
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Topic dossier · Digital Public Infrastructure

Public cloud and concentration

Many public digital systems run on commercial cloud platforms or a few national data centres. This brings scale and capability, and it creates dependence on a small number of providers, questions of jurisdiction over data, and shared points of failure. This page sets out how hosting choices shape the risk of public digital infrastructure, how concentration is measured, and what evidence serves the governments and regulators who make these choices.

01In brief

The short answer.

Public sector cloud is the hosting of government systems and data on commercial or national cloud platforms. It brings scale, but concentrates many services on few providers, raises questions of jurisdiction over sensitive data, makes exit costly and creates shared points of failure.

02Geography

Connected activity in India.

Night-time lights and population density, the footprint of electrified, connected activity, framed on India; each layer is a dated NASA product.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Connected activity

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Night-time lights and population density, the footprint of electrified, connected activity, framed on India.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Natural EarthSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

03Console

DPI service health, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

DPI service health

Public cloud and concentration · Payment switch · Today

  • Transactions today
    3,217,1006Active
  • Authentication success, %
    98.1Normal
  • Availability, % this month
    99.60Normal
  • Grievances open
    562Watch
All rails operationalGCRI · Digital Public Infrastructure

Throughput

Rails

Identity verify1380.8Normal
Instant payment5670.4Normal
Data exchange3651.1Degraded
Offline fallbackn/an/aStandby
DPI service health: the screen's structure, terms and states for Public cloud and concentration.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Public cloud and concentration: how the risk develops.

Vendor dependency and continuity. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

A few providers host much

Cloud markets are concentrated, so many public services depend on the same providers and regions.

Mechanism

Jurisdiction follows the provider

Foreign providers may be subject to laws that compel data access, raising sovereignty concerns for sensitive public data.

Mechanism

Exit is hard

Proprietary services and data transfer costs make it difficult to move systems between providers or back in-house.

Mechanism

Concentration is a shared vulnerability

An outage or compromise at one provider or region can disrupt many public services at once.

05Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Sovereign cloudCloud services designed to keep data and operations under a particular jurisdiction's control.
Vendor lock-inDependence on one provider that makes switching costly or slow.
Egress feeA charge for transferring data out of a cloud provider's network.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Public workloads by hosting typepercent of workloadsper assessmentGovernment inventoriesDECLARED
Share of public cloud spend with the largest providerpercentannualProcurement dataOBSERVED
Critical systems with tested exit planspercentper assessmentExit plan recordsREPORTED
Sensitive data hosted under domestic jurisdictionpercent of sensitive datasetsper assessmentData classification recordsDECLARED
Provider outages affecting public servicescount and hoursannualIncident recordsOBSERVED
Sovereign cloud offerings availablecountper assessmentMarket reviewREPORTED
07Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Public cloud and concentration as a run graphDesign, not a record
Public cloud and concentration: operational resilienceImportant business services are identified and impact tolerances set; people, processes, technology and third parties are mapped; severe but plausible scenarios test whether services stay within tolerance; vulnerabilities are remediated and the board self-assesses. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
Government cloud strategies and procurement frameworksPolicies and contracts for public cloudPublic records, licence per government
Competition authority cloud market studiesMarket concentration and switching barriersPublic records, licence per authority
Public procurement data portalsSpending by supplierOpen data, licence per portal
EU Data Act provisions on cloud switchingRules on switching and egress chargesPublic, EU terms
Provider status historiesRecords of outagesPublic, terms per provider
09Decisions

Who decides, and what the evidence serves.

Digital Public Infrastructure prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Government digital and procurement agenciesWhere to host which systems and under what termsDependency maps; exit assessments
Competition and data regulatorsWhether concentration or transfers need interventionConcentration and jurisdiction evidence
Security agenciesWhich data must stay under domestic controlData classification reviews

Outputs this topic produces

  • Hosting dependency maps for public services
  • Concentration analyses of public cloud spending
  • Jurisdiction and data classification reviews
  • Exit and portability assessments
10Core questions

What experts ask.

Public services must continue regardless of the commercial fortunes or policy choices of any one supplier. When many government functions depend on the same provider, a technical failure, contract dispute, price change or legal order affecting that provider can disrupt services across the state. Concentration also affects bargaining power and the state's ability to change course.

  • Which public services depend on which cloud and software providers, and how concentrated are those dependencies?
  • Can a service be moved to another provider or run on-premises if necessary, and how long would that take?
  • Which laws apply to data held by a provider, and could foreign legal orders affect access?
  • What contractual terms protect continuity, data return and exit?
11Mechanisms

Drivers and processes.

Concentration risk has technical, commercial and legal dimensions.

Technical

Shared failure

Outages at a major provider affect all services hosted there. Architecture across regions or providers can reduce but not remove this risk.

Commercial

Lock-in

Proprietary services and data formats make migration costly. Pricing and terms can change after dependency has grown.

Legal

Jurisdiction

Providers are subject to the laws of the countries where they are based and operate, which may conflict.

The most common weakness is not the choice of cloud but the absence of a tested way out. Exit plans that exist only on paper, data held in formats only one provider can read and skills concentrated in a supplier's staff all leave the state dependent. Building portability in from the start is cheaper than recovering it under pressure.

12Methods and data

How the evidence is built, and its limits.

  1. 01

    Dependency inventories

    Registers of providers behind public services. Often incomplete, especially for software components.

  2. 02

    Exit testing

    Practical tests of migration and data return. Rarely carried out, so exit plans are often untested.

  3. 03

    Contract analysis

    Review of continuity, data and exit clauses. Standard terms may give governments little leverage.

  4. 04

    Architecture analysis

    Assessment of designs for portability and resilience, applying high-performance, cloud and edge computing.

13Methods

How it is studied, and what the methods cannot say.

  1. High-performance, cloud and edge computingCapacity planning for peaks · Multi-site and multi-provider hosting · Portability engineeringApplied here
  2. Cybersecurity and cryptographyThreat modelling DPI components · Protecting identity databasesApplied here
  3. Data engineering, interoperability and stewardshipSecure data exchange layers · Common data models · Consent-based sharingApplied here
14Questions

Questions and answers.

What is sovereign cloud?
Cloud services designed so that data and operations stay under a particular country's jurisdiction and control, with various technical and legal arrangements.
Why is cloud concentration a risk for governments?
Because many public services may depend on the same few providers, so an outage, compromise or contract dispute can affect many at once.
What is cloud exit?
The ability to move a system and its data away from a cloud provider within acceptable time and cost.
Should governments avoid commercial cloud?
Not necessarily. Commercial cloud can improve security and reliability. The aim is to keep dependency manageable through portability, exit plans and diversified critical services.
Does the platform assess providers?
No. It studies concentration and dependency and does not assess, rate or recommend providers.
How can exit be made realistic?
Through open standards, data portability terms, documented architectures and periodic tests of migration for critical services.
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