Private Cloud

Cloud Computing

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

Infrastructure as a Service

Cloud computing model providing virtualised computing resources like servers, storage, and networking over the internet.

Platform as a Service

Cloud computing model that provides a platform for developers to build, deploy, and manage applications without managing infrastructure.

Software as a Service

Cloud computing model that delivers software applications over the internet on a subscription basis.

Function as a Service

A serverless cloud computing model where individual functions are executed in response to events.

Serverless Computing

A cloud execution model where the provider dynamically allocates resources, charging only for actual compute time used.

Cloud-Native

An approach to building applications that fully exploit cloud computing advantages like elasticity, resilience, and automation.

Public Cloud

Cloud computing resources shared among multiple organisations and available to the general public over the internet.

Managed Service

A cloud service where the provider handles infrastructure management, maintenance, updates, and monitoring.

Cloud Cost Optimisation

Strategies and practices for minimising cloud computing expenses while maintaining performance and functionality.

Spot Instance

A cloud computing option that uses spare capacity at significantly reduced prices with the possibility of interruption.

Cloud Orchestration

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

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

Cloud infrastructure providing on-demand access to graphics processing units optimised for AI training and inference, enabling organisations to scale compute without capital investment.

An API architectural style using HTTP methods and stateless communication for web service interaction.

A distributed network of servers that delivers web content to users based on their geographic location.

A high-performance remote procedure call framework developed by Google using Protocol Buffers for serialisation.

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.

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

Software that creates and manages virtual machines, allowing multiple operating systems to share a single hardware host.