Glossary

Virtualization in cloud computing is the process of creating virtual versions of computingresources, such as servers, desktops, storage systems, or entire networks, on one physicalmachine. It runs through a tool called a hypervisor, which slices a physical device into multiple,independent environments known as virtual machines (VMs). Each VM acts like its owncomputer, complete with an operating …

Edge computing solutions move data processing away from distant data centers and closer to the devices where the data is actually created. Instead of sending everything to the cloud, these systems rely on nearby hardware, such as local servers or smart devices, to handle tasks quickly and efficiently. By doing this, organizations reduce delays, save bandwidth, and respond to changes in real …

Cloud computing and Edge AI work together to process data, but they do it in completely different ways. Cloud computing handles huge workloads in remote data centers, while edge computing works closer to where data is created, often right on a device. The way these two systems operate, and more importantly, how they now connect, is changing how businesses handle everything from traffic lights to …

Edge computing is a distributed computing framework that processes data closer to where it is generated, such as on devices or local servers, instead of relying solely on centralized data centers. This reduces latency and improves efficiency, enabling faster decision-making and more reliable operations. As data volumes grow exponentially, particularly from the Internet of Things (IoT), edge …

Edge computing reduces latency for end users by processing data closer to the source instead of relying on distant cloud servers. This significantly cuts down the time it takes for data to travel back and forth, making applications faster and more responsive. It helps avoid bottlenecks, reduces the number of network hops, and ensures real-time performance where it matters most. Latency …

Hybrid cloud computing combines private cloud infrastructure with public cloud services, making it possible to share data and applications between the two. Imagine the flexibility of being able to tap into the resources of a public cloud for big projects while keeping sensitive data secure in a private cloud. That is exactly what hybrid cloud computing offers. This setup is becoming …

A hybrid cloud environment is a system where on-premises infrastructure, private clouds, and public cloud services come together to create a unified IT setup. This setup allows businesses to store sensitive data securely on their local systems while using cloud platforms to handle scalable workloads. This balance of security and flexibility has made hybrid cloud environments increasingly …

Companies that use private cloud include organizations in healthcare, financial services, manufacturing, gaming, and education. These industries depend on private cloud for data security, regulatory compliance, and performance optimization. Healthcare institutions use private cloud for HIPAA-compliant storage and real-time collaboration, while financial firms leverage it for secure transactions …

Public cloud hosting refers to a computing model in which resources such as servers, storage, and applications are managed by third-party providers and delivered over the Internet. Businesses and individuals can access these resources on demand, paying only for what they use. Unlike private cloud hosting, where infrastructure is exclusive to one organization, public cloud hosting shares …

Cloud infrastructure management refers to the centralized control of compute, storage, and networking resources across public, private, hybrid, and multicloud environments. It combines provisioning, monitoring, automation, security, cost optimization, and compliance enforcement to ensure cloud systems remain agile, efficient, and secure. Instead of juggling cloud resources across multiple …