Basics of Cloud Computing

Learn how infrastructure as a service provides on-demand virtualized compute, network, and storage resources, scales with demand, and offloads on-premise maintenance through AWS, Azure, and Google Cloud Platform.

Explore platform as a service (PaaS) in cloud computing, where a third-party provider delivers hardware, software platforms, and deployment tools, enabling developers to build and deploy apps with pay-as-you-go pricing.

Explore software as a service (saas), a cloud computing model where a third-party delivers on-demand applications via internet, with the provider handling runtime, middleware, and infrastructure.

Explore function as a service (faas), a serverless, on-demand model delivering runtime services and microservices with pay-per-use pricing, where the cloud provider manages resources and data security.

Public cloud provides computing services, hardware, networking, storage, and applications managed by a third party over the public internet, offered on a pay-as-you-go basis.

Understand private cloud as a secure, dedicated deployment model where a single organization controls data and cloud resources, delivered via virtual private cloud and vpn.

Hybrid cloud blends private and public clouds to share workloads and expand data deployment options. It unifies services and data from various cloud models for flexible, automated computing.

Explore the high performance computing cloud, an architecture of connected computers forming a cluster that enables parallel processing for modeling, simulation, and analysis of complex problems.

Explore big data cloud: store, distribute, and analyze data sets with dynamically implemented cloud clusters and a data warehouse, enabling high-performance processing for reporting and decision making.

Microsoft Azure is a cloud platform offering SaaS, PaaS, and IaaS with more than two hundred services, pay-as-you-go pricing, and 42 data centers worldwide.

Explore Amazon Web Services, a leading cloud provider offering pay-as-you-go infrastructure, platform, and software as a service. Learn about elastic cloud computing, storage, databases, and machine learning.

Discover Google Cloud Platform, a cloud computing brand offering compute, storage, networking, and analytics services, including Compute Engine and App Engine, with evolution toward Amazon Web Services.

Explore how Salesforce delivers customer relationship management through cloud-based software as a service, offering Sales Cloud, Marketing Cloud, Service Cloud, Community Cloud, and AppExchange to connect businesses with customers.

Explore IBM Cloud's platform and infrastructure as a service, data analytics, and open standards, alongside Alibaba Cloud's pay-as-you-go services, including virtual servers, storage, networking, databases, and blockchain.

Explore virtualization in cloud computing, including operating system, hardware, server, and storage virtualization, to support multiple operating systems and shared resources with improved scalability, efficiency, and cost.

Explore bare-metal computing, where the operating system runs directly on physical hardware without a hypervisor, enabling a bare metal cloud with a dedicated server environment and cloud-like performance.

Explore how virtualization lets multiple virtual machines share a single bare metal hardware, each with its own OS and apps, with a hypervisor allocating processor, memory, and storage.

Explore Docker containers as a lightweight alternative to virtual machines, enabling consistent application deployment and easy migration across environments.

Serverless computing extends function as a service, with the cloud provider managing servers and resources, letting you build apps without infrastructure management, with databases and storage and pricing by usage.

Distributed applications run on multiple computers in a network and can be stored in the cloud, enabling users to access them simultaneously while container technology packages and deploys these apps.

Explore how cloud computing enables artificial intelligence to process data, learn from outcomes, and make decisions, supported by extensive data storage for artificial intelligence applications such as digital assistants.

Cloud computing with the Internet of Things links billions of devices to the Internet, enabling data sharing, remote monitoring, automated alerts, and scalable, pay-as-you-go cloud services for managing large data.