Private Cloud
Definition
Private Cloud
A private cloud is a dedicated IT environment used exclusively by your organisation. It gives you maximum control over data, network, and configuration, with no shared resources with other tenants.
In detail
Organisations choose private cloud when regulatory frameworks require data residency, when latency-sensitive workloads need proximity to on-premises systems, or when intellectual property demands strict isolation.
Private cloud can run on-premises or in a hosted facility. The key distinction from public cloud is tenancy: your infrastructure serves only your workloads.
How Tallence helps
Tallence designs private and hybrid cloud architectures for organisations with regulatory infrastructure requirements.
Learn more about Private CloudRelated terms
Hybrid Cloud
A composition of two or more cloud environments (private, community, or public) connected by technology that enables data and application portability.
Cloud Governance
The policies, processes, and controls that ensure cloud resources are used securely, compliantly, and cost-effectively across an organisation.
Sovereign Cloud
A cloud deployment where data processing and storage happen exclusively within a specific jurisdiction, with full auditability and embedded compliance.
Explore more terms
All glossary terms→FinOps
An operating framework that connects technology, finance, and business teams to manage cloud spending with accountability and transparency.
Site Reliability Engineering (SRE)
An engineering discipline that applies software practices to IT operations, using SLOs and error budgets to balance reliability with delivery speed.
DevOps
An engineering practice that aligns development and operations teams around shared goals, automated pipelines, and a culture of continuous delivery.
Microservices
An architecture pattern where applications are decomposed into independently deployable services, each owning its domain, data, and deployment lifecycle.
Cloud-Native Development
Building applications designed for the cloud from the ground up, using containers, Kubernetes, serverless functions, and declarative infrastructure.
Test Automation
Using specialised tools and frameworks to validate software automatically, catching regressions in every pipeline stage before they reach production.