Green Cloud Computing

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.

Private Cloud

Cloud computing resources used exclusively by a single organisation, either on-premises or hosted by a third party.

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.

An open-source infrastructure as code tool for building, changing, and versioning infrastructure safely and efficiently.

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

A messaging pattern where publishers send messages to topics and subscribers receive messages from topics of interest.

An architecture pattern where the flow of the system is determined by events — significant changes in state.

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

An approach that distributes workloads across multiple cloud providers to avoid vendor lock-in, optimise costs, meet regulatory requirements, and improve resilience.

The automated management of containerised application deployment, scaling, networking, and availability across clusters of machines, with Kubernetes as the dominant platform.

Automatically adjusting compute resources based on current demand to maintain performance and optimise costs.