Due Date Is Over
Due Date: 15-09-2024
Cloud services models
Cloud service models are frameworks that define how cloud computing services are delivered to users. Each model offers different levels of control, flexibility, and management. The primary cloud service models are:
Infrastructure as a Service (IaaS):
Overview: Provides virtualized computing resources over the internet. Users rent IT infrastructure—such as virtual machines, storage, and networks—on a pay-as-you-go basis.
Examples: Amazon Web Services (AWS) EC2, Microsoft Azure Virtual Machines, Google Cloud Compute Engine.
Use Cases: Hosting websites, storing large amounts of data, running enterprise applications, and supporting development and testing environments.
Platform as a Service (PaaS):
Overview: Delivers a platform allowing customers to develop, run, and manage applications without dealing with the underlying infrastructure. It includes development tools, database management systems, middleware, and more.
Examples: Google App Engine, Microsoft Azure App Services, Heroku.
Use Cases: Developing and deploying web applications and services, creating and managing databases, and building custom applications.
Software as a Service (SaaS):
Overview: Provides software applications over the internet on a subscription basis. Users can access these applications via a web browser without managing the underlying infrastructure or platforms.
Examples: Google Workspace (formerly G Suite), Microsoft 365, Salesforce.
Use Cases: Email services, customer relationship management (CRM), office productivity tools, and collaboration platforms.
Each of these models offers different levels of control and management, allowing organizations to choose the most suitable approach based on their specific needs. For instance, IaaS gives more control over the operating system and applications, while SaaS offers the least control but the greatest convenience.
Due Date Is Over
Due Date: 15-09-2024
cloud computing and virtualization
Virtualization techniques are methods used to create virtual versions of physical hardware resources, operating systems, storage devices, or network resources. These techniques are widely used to improve resource utilization, enhance flexibility, and simplify management in IT environments. Here’s a breakdown of some key virtualization techniques:
1. Hardware Virtualization
Type 1 Hypervisors (Bare-Metal): These run directly on the host's hardware and manage guest operating systems. Examples include VMware ESXi, Microsoft Hyper-V, and Xen.
Type 2 Hypervisors (Hosted): These run on top of an existing operating system and manage guest operating systems. Examples include VMware Workstation, Oracle VirtualBox, and Parallels Desktop.
2. Operating System Virtualization
Containers: Containers package applications and their dependencies into a single unit that can run consistently across different computing environments. Examples include Docker and Podman.
Namespaces and Cgroups: Linux provides these mechanisms for process isolation and resource management, allowing multiple applications to run on the same OS instance without interfering with each other.
Due Date Is Over
Due Date: 15-09-2024
cloud computing and virtualization
Virtualization techniques are methods used to create virtual versions of physical hardware resources, operating systems, storage devices, or network resources. These techniques are widely used to improve resource utilization, enhance flexibility, and simplify management in IT environments. Here’s a breakdown of some key virtualization techniques:
1. Hardware Virtualization
Type 1 Hypervisors (Bare-Metal): These run directly on the host's hardware and manage guest operating systems. Examples include VMware ESXi, Microsoft Hyper-V, and Xen.
Type 2 Hypervisors (Hosted): These run on top of an existing operating system and manage guest operating systems. Examples include VMware Workstation, Oracle VirtualBox, and Parallels Desktop.
2. Operating System Virtualization
Containers: Containers package applications and their dependencies into a single unit that can run consistently across different computing environments. Examples include Docker and Podman.
Namespaces and Cgroups: Linux provides these mechanisms for process isolation and resource management, allowing multiple applications to run on the same OS instance without interfering with each other.
Due Date Is Over
Due Date: 15-09-2024
cloud computing and virtualization
Virtualization techniques are methods used to create virtual versions of physical hardware resources, operating systems, storage devices, or network resources. These techniques are widely used to improve resource utilization, enhance flexibility, and simplify management in IT environments. Here’s a breakdown of some key virtualization techniques:
1. Hardware Virtualization
Type 1 Hypervisors (Bare-Metal): These run directly on the host's hardware and manage guest operating systems. Examples include VMware ESXi, Microsoft Hyper-V, and Xen.
Type 2 Hypervisors (Hosted): These run on top of an existing operating system and manage guest operating systems. Examples include VMware Workstation, Oracle VirtualBox, and Parallels Desktop.
2. Operating System Virtualization
Containers: Containers package applications and their dependencies into a single unit that can run consistently across different computing environments. Examples include Docker and Podman.
Namespaces and Cgroups: Linux provides these mechanisms for process isolation and resource management, allowing multiple applications to run on the same OS instance without interfering with each other.
