Kubernetes

Container

A lightweight, portable software package that bundles application code with all its dependencies for consistent execution.

Docker

A platform for developing, shipping, and running applications in isolated containers with consistent environments.

Load Balancer

A device or software that distributes network traffic across multiple servers to ensure no single server is overwhelmed.

Auto-Scaling

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

Virtual Machine

A software emulation of a physical computer that runs an operating system and applications independently.

Hypervisor

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

Object Storage

A data storage architecture managing data as objects rather than file hierarchies or block addresses.

Block Storage

A data storage technology that manages data as individual blocks, each acting as an independent hard drive.

Availability Zone

An isolated location within a cloud region with independent power, cooling, and networking for high availability.

Region

A geographic area containing one or more data centres where cloud services are hosted.

Container Orchestration

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

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

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

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

The practice of building and maintaining internal developer platforms that provide self-service capabilities, standardised tooling, and golden paths for software delivery teams.

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

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

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 workloads back from public cloud environments to on-premises or private cloud infrastructure.