AiVibeMulti-Cloud
Multi-cloud is the use of services from two or more public cloud providers within one organisation, chosen to match workloads to the best-suited platform, meet regional requirements or reduce dependence on a single supplier.
Multi-cloud is a strategy in which an organisation uses services from two or more public cloud providers, such as AWS, Microsoft Azure and Google Cloud, rather than relying on a single provider. Workloads may be split by function, for example analytics on one platform and enterprise applications on another, or a single application may be designed to run on more than one provider. Multi-cloud differs from hybrid cloud, which combines private infrastructure with public cloud, although many organisations use both.
Organisations pursue multi-cloud to use the best-suited service from each provider, to meet customer or regulatory requirements in particular regions, to reduce dependence on one supplier and to strengthen their negotiating position. Mergers and acquisitions also leave many companies with several clouds by default.
Operating several clouds multiplies the skills, tools and security policies that must be maintained, and each provider's identity model, networking and managed services differ. Data transfer between providers incurs egress charges and latency. Common mitigations include infrastructure as code tools that target multiple providers, Kubernetes as a portable runtime, central identity federation and unified observability and cost reporting.
Key points
- Uses two or more public cloud providers, unlike hybrid cloud which pairs private and public
- Motivations include service fit, regional requirements and reduced supplier dependence
- Each provider has different identity, networking and managed-service models
- Data egress charges and duplicated skills are the main cost drivers
Where AiVibe comes in
AiVibe delivers cloud solutions on AWS, Microsoft Azure, Google Cloud or on-premise, along with cloud security and legacy modernisation.
Related terms
- Hybrid CloudCloud & AI Infrastructure
- Infrastructure as Code (IaC)Cloud & AI Infrastructure
- KubernetesCloud & AI Infrastructure
- Identity and Access Management (IAM)Cloud & AI Infrastructure
- FinOps (Cloud Financial Operations)Cloud & AI Infrastructure
- ObservabilityCloud & AI Infrastructure