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Computing Paradigms

A hub of computing paradigms — the ways computation is organised, delivered and scaled — from cloud, serverless and edge to quantum, high-performance, distributed, cognitive and brain-inspired computing.

47 topics•6 categories•Updated October 2026

Cloud, Cloud-native & Serverless

6 entries

Computing delivered as a service, and applications built for it.

01Cloud ComputingOn-demand delivery of IT resources over the internet: compute, storage, databases and networking. 02Cloud-native ComputingPrinciples, tools and practices for building scalable applications with containers, microservices and automation. 03Serverless ComputingEvent-driven execution model where the provider manages infrastructure. 04Microservices Architecture (MSA)Architecture of small, independently deployable services. 05Event-driven Architecture (EDA)Services that communicate by producing and consuming events. 06Distributed ComputingParadigms and systems for coordinating computation across networked nodes.

Serverless Family

9 entries

Directories under the serverless hub.

07Serverless PlatformsPlatforms for running serverless applications. 08Serverless Development ToolsFrameworks and tools for building serverless apps. 09FaaS on KubernetesFunction platforms that run on Kubernetes. 10Workflow AutomationWorkflow and orchestration software. 11Serverless Monitoring ToolsMonitoring for serverless apps. 12Serverless Security ToolsSecurity tools for serverless apps. 13Serverless at the EdgeEdge function platforms. 14AI Agents on ServerlessServerless platforms for AI agents. 15Vector DatabasesVector databases for similarity search and RAG.

Edge, Mobile & Networks

8 entries

Computing close to users and devices, and the networks that connect them.

16Edge ComputingDistributed paradigm that brings computation and data closer to where they are produced. 17Edge AIEdge AI hardware, platforms and runtimes. 18Edge Kubernetes PlatformsLightweight Kubernetes for edge sites. 19Edge Management & OrchestrationSoftware for managing distributed edge infrastructure. 20Edge Device Cloud PlatformsCloud platforms for managing edge devices. 21Cloud-native Edge ComputingCloud-native principles applied to the edge. 22Mobile ComputingTechnologies enabling computation and connectivity on portable devices. 235G and 6G Communication Networks5G and 6G networks, RAN and UCaaS.

Quantum Computing

5 entries

Quantum hardware, software and security.

24Quantum ComputingHub for quantum computing: hardware, cryptography, QKD, post-quantum and quantum AI. 25Quantum Computing VendorsVendors of quantum hardware and cloud access. 26Quantum AIQuantum approaches to artificial intelligence. 27Quantum CryptographyQuantum key distribution and related technologies. 28Post-quantum CryptographyProviders of post-quantum cryptography.

Performance, Intelligence & Context

6 entries

High-performance and brain-inspired computing, and systems that adapt to context.

29High-Performance ComputingSupercomputing and parallel processing clusters for computationally intensive problems. 30Real-Time Systems & RTOSReal-time operating systems, real-time Linux, safety-certified options and analysis tools. 31Context-aware ComputingSystems that sense and adapt to their environment. 32Cognitive ComputingAI systems that mimic human thought processes. 33Neuromorphic ComputingBrain-inspired, event-driven architectures using spiking neural networks. 34Machine LearningMachine learning resources.

Frequently Asked Questions

What is a computing paradigm?

A model for how computation is organised and delivered, such as running on demand in the cloud, close to devices at the edge, in parallel on supercomputers or on quantum hardware.

How are cloud, cloud-native and serverless related?

Cloud computing provides resources on demand, cloud-native designs applications to exploit them with containers and microservices, and serverless goes further by having the provider manage scaling and infrastructure.

What is the difference between edge and cloud computing?

Cloud computing processes data in central data centers, while edge computing processes it near where it is produced to cut latency and bandwidth. Most designs use both.

Where should I start?

If you are new, begin with Cloud Computing and Distributed Computing. For modern application design go to Cloud-native and Serverless, and for newer areas see Edge, Quantum and Neuromorphic.

What changed on this page?

The page now links the Serverless family, Edge AI, Edge Device Cloud Platforms and Quantum Computing as groups, and most of the child pages were rebuilt at the same time.