EDITOR’S INTRODUCTION
Cloud computing provides infrastructure, platforms or software through managed online environments. Instead of operating every physical component internally, an organization can use computing resources as a service and adjust them as requirements change. The value comes from the operating model around the technology, not from moving systems for its own sake.
01
The three main cloud service models
Infrastructure as a Service provides resources such as virtual servers, networks and storage. Platform as a Service adds a managed environment for developing and running applications. Software as a Service delivers a complete application that users access through the internet.
Each model changes the division of responsibility between the provider and the customer. Even when more of the stack is managed, the customer still owns identities, access decisions, data use and configuration.
02
Public, private and hybrid deployment
Public cloud uses shared provider infrastructure with logical separation between customers. Private cloud dedicates an environment to one organization. A hybrid approach connects cloud services with private infrastructure or on-premises systems.
The appropriate model depends on workload behavior, regulation, latency, integration, cost and the skills available to operate it.
03
Why businesses adopt cloud services
Cloud services can make capacity easier to adjust, shorten the time required to prepare environments and support secure access for distributed teams. Managed services may also reduce the burden of maintaining physical hardware.
04
Cloud does not remove operational risk
Misconfigured access, uncontrolled cost, weak backup design and unclear ownership can undermine the expected benefits. Security is a shared responsibility: the provider protects defined parts of the platform, while the customer must configure identities, permissions, data protection and workloads appropriately.
Document recovery objectives and test restores. A backup that has never been validated is only an assumption.
05
Plan migration by workload
Inventory applications, data, dependencies, integrations, user access and compliance requirements before selecting a destination. Some workloads can move with limited change; others should be redesigned, replaced with a managed service or remain where they are.
Use a pilot with clear success criteria. Measure performance, security, support effort and cost behavior before expanding the migration program.
06
Operate and optimize after launch
Cloud environments require monitoring, patching, access reviews, cost controls and ownership of alerts. Establish tags, budgets and reporting so teams understand which workloads consume resources and why.
Regular optimization is part of the service life cycle. Capacity, commitments and architecture should evolve with actual usage rather than remain fixed after the initial project.
