Hybrid Cloud
Definition
Hybrid Cloud
A hybrid cloud is a composition of two or more cloud environments (private, community, or public) that remain unique entities but are bound together by standardised or proprietary technology enabling data and application portability.
In detail
Not every workload belongs in the public cloud. Regulatory requirements, latency constraints, or data sovereignty demands require flexibility. Hybrid cloud architectures let organisations place workloads deliberately across environments based on security, latency, or cost requirements.
A private cloud runs exclusively for one organisation on dedicated infrastructure. A sovereign cloud goes further: data processing and storage happen exclusively in EU jurisdiction, with full auditability and embedded compliance.
How Tallence helps
Tallence designs and operates hybrid and private cloud architectures on AWS that meet your compliance requirements without sacrificing cloud agility.
Learn more about Hybrid CloudRelated terms
Private Cloud
A dedicated IT environment used exclusively by one organisation, providing maximum control over data, network, and configuration.
Cloud Governance
The policies, processes, and controls that ensure cloud resources are used securely, compliantly, and cost-effectively across an organisation.
AWS Landing Zone
A pre-configured, multi-account AWS environment with built-in governance, security guardrails, and compliance controls.
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.