Cloud Fundamentals 4 min read Updated

How Businesses Use the Cloud: Hosting, E-commerce, Analytics, Backup and Disaster Recovery

The production workloads businesses run in the cloud, what each needs from a platform, and how separate accounts for testing, staging and disaster recovery protect the live environment.

Business cloud use cases illustration: stacked isometric layers representing levels of a cloud stack

Businesses do not buy cloud services for their own sake. They buy reliability for a website that takes orders, access control so that the right people touch the right systems, and a clear view of costs as usage grows. This guide describes the workloads businesses actually run in the cloud, what each one needs from a platform, and the account structure that keeps production safe. It complements our developer use cases guide.

Web hosting and web applications #

The most common workload is still a website or web application: a marketing site, a customer portal, a SaaS product. What the business needs is uptime, TLS, a content delivery network for global visitors and the ability to add capacity for a campaign without re-architecting. Managed platforms such as App Platform style services handle small sites; larger applications run on virtual machines or containers behind a load balancer. European businesses with data residency requirements often choose OVHcloud, Hetzner or UpCloud for this; see our provider selection guide.

E-commerce #

Online stores add payment flows, inventory and seasonal peaks to the hosting picture. Autoscaling and managed databases matter here because the cost of an outage during a sale is measured in lost orders. Payment data should stay with a payment processor rather than on your servers, which keeps most of the PCI DSS burden off your infrastructure.

Data analytics #

Processing and analyzing business data used to need a data warehouse project; in the cloud it is a service. Amazon Redshift and Athena, Google BigQuery and Azure Synapse let a business query large datasets without running servers, and streaming services such as Kinesis, Pub/Sub or Event Hubs feed them in near real time. The economics reward keeping raw data in cheap object storage and paying for compute only when you query.

CRM, ERP and line-of-business applications #

Enterprise applications that once lived on a server in a cupboard now run on cloud virtual machines with managed databases and backups. Azure is a frequent choice where the applications are Microsoft-based, because Azure Hybrid Benefit lets existing Windows Server and SQL Server licenses carry over. The migration itself is covered in our cloud migration planning guide.

Backup and recovery #

Object storage is cheap, durable and geographically separate from your office, which makes it the natural target for backups. Every provider offers lifecycle rules that move older backups to colder, cheaper tiers automatically. The habit that matters is testing a restore on a schedule; a backup that has never been restored is a hope, not a plan. Our guide to object, block and file storage explains the tiers.

Disaster recovery #

Disaster recovery means standby infrastructure that can take over if the primary environment fails. In the cloud it ranges from “backups plus a documented rebuild procedure” at the cheap end to a warm standby in a second region that receives replicated data continuously. Businesses commonly keep the disaster recovery environment in a separate account or project so that a mistake, a compromised credential or a runaway automation in production cannot also destroy the standby.

Separate accounts for testing, staging and recovery #

Established businesses benefit from additional accounts for testing, development, staging and disaster recovery, rather than compromising the production environment to try something new. The structure that works:

  • Production: locked down, change-controlled, monitored, with the fewest people holding write access.
  • Staging: a copy of production used for final testing, refreshed from production data with sensitive fields masked.
  • Development and test: where teams work daily, with lower limits and budget alerts.
  • Disaster recovery: isolated from production by account boundary and by separate credentials.

AWS Organizations, Google Cloud organizations and Azure management groups exist to hold these accounts together with consolidated billing and shared policy. For growing companies this structure also extends the runway: development costs are visible on their own, and production spend can be committed to reserved pricing with confidence.

Access control across teams #

Production workloads need access control that maps to job roles: finance sees billing, developers deploy to staging, only the release process touches production. Every provider offers this through IAM roles, RBAC or sub-accounts. The principle is least privilege, and the audit log is what proves it is being followed. Our guide to security controls by provider shows where each of these lives.

Knowing what it costs #

As usage grows, a business needs to know which product, team or client each dollar belongs to. Tagging resources at creation time, one billing account per business unit where appropriate, and budgets with alerts are the tools. Our cloud cost management guide covers the method, and infrastructure monitoring basics covers the operational side.

Agencies and consultancies #

Agencies manage infrastructure for many clients at once, each needing a separate environment, isolated billing and distinct security configuration. The arrangement that holds up is client-owned accounts with the agency granted access through IAM roles, team membership or sub-accounts. It keeps ownership of data and infrastructure with the client, lets the agency demonstrate capability without exposing its own environment, and makes the end of an engagement a permission change instead of a migration. Provisioning a new client environment from an infrastructure-as-code template turns onboarding into an afternoon’s work.

Researchers and data-intensive teams #

Businesses with research or analytics functions use the cloud for simulations, model training and large-scale data processing, where GPU instances and managed data platforms replace grant-funded hardware. The account structure above applies here too: a separate research account with its own budget keeps a long training run from surprising the finance team.

Frequently asked questions #

Should a small business have more than one cloud account?

Yes, once anything runs in production. At minimum, separate production from everything else so that experiments cannot take down the live system.

What is the cheapest credible disaster recovery plan?

Regular backups to object storage in a second region plus a documented, rehearsed rebuild procedure. Add a warm standby when the cost of downtime justifies it.

Which provider is best for business workloads?

It depends on the applications, the regions you serve and your team’s skills. Our comparison framework walks through the decision.

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