Cloud Repatriation

Multi-Cloud

A strategy using services from multiple cloud providers to avoid vendor lock-in and optimise capabilities.

Hybrid Cloud

An IT architecture combining on-premises infrastructure with public and private cloud services.

Cloud Security

The set of policies, technologies, and controls deployed to protect cloud-based systems, data, and infrastructure.

Identity and Access Management

A framework for managing digital identities and controlling user access to resources and systems.

Single Sign-On

An authentication scheme allowing users to log in once and gain access to multiple related systems.

OAuth

An open standard for token-based authentication and authorisation on the internet.

Cloud Database

A database service built, deployed, and accessed through a cloud platform, offering scalability and managed operations.

Reserved Instance

A cloud pricing model where users commit to a specific resource configuration for a term in exchange for discounted rates.

Cloud Governance

The policies, procedures, and tools for managing cloud resource usage, security, compliance, and costs.

Multi-Tenancy

A software architecture where a single instance serves multiple customers, with each tenant's data isolated and invisible to others.

Cloud Bursting

A configuration where an application runs in a private cloud and bursts into a public cloud when demand spikes.

Cloud-Native Database

A database designed from the ground up to operate in cloud environments with automatic scaling and high availability.

A query language for APIs that lets clients request exactly the data they need in a single request.

The automated arrangement, coordination, and management of complex cloud computing systems and services.

The delivery of computing services — servers, storage, databases, networking, software — over the internet on demand.

A communication method where messages are stored in a queue until the receiving application can process them.

A cultural practice combining technology, finance, and business to manage cloud costs through data-driven decision making.

The process of moving data, applications, and workloads from on-premises infrastructure to cloud environments.

The specialised hardware, software, and networking stack required to train and serve AI models at scale, including GPU clusters, high-bandwidth interconnects, and model serving frameworks.

Cloud computing practices that minimise environmental impact through renewable energy usage, efficient cooling, workload consolidation, and carbon-aware scheduling of compute tasks.