"Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user."
Different ways in which cloud computing services can be deployed, including public clouds hosted by third-party providers, private clouds hosted by organizations themselves, and hybrid clouds which are a combination of both.
Cloud computing basics: This includes an overview of cloud computing and key terms like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Public cloud: A public cloud is a type of cloud computing where services are offered to the general public over the internet. This includes offerings from big providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.
Private cloud: A private cloud is a cloud infrastructure designed specifically for use by a single company or organization. It can be hosted on-premises or in a third-party data center.
Hybrid cloud: A hybrid cloud is a combination of public and private clouds, where workloads can be moved between the two environments as required.
Cloud deployment models: Different ways to deploy cloud applications and services, such as using Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS).
Cloud security: The measures taken to protect cloud-based data and applications, including authentication, encryption, and access control.
Cloud migration: The process of moving existing applications and data to the cloud, including considerations like data privacy, network architecture, and workload placement.
Cloud orchestration: The automation of cloud management tasks by defining policies for provisioning, configuration, and upgrading of cloud resources.
Cloud virtualization: The creation of virtual machines within a cloud environment to run applications and services.
Cloud storage: The types of cloud storage services available, such as object storage, file storage, and database storage.
Cloud networking: The infrastructure that connects cloud resources and allows for data transmission, including virtual private networks (VPNs) and software-defined networking (SDN).
Cloud provider comparison: A review and comparison of the different cloud providers and their advantages and disadvantages, including cost, scalability, and support options.
Public Cloud Deployment Model: In the public cloud deployment model, cloud service providers offer computing resources such as storage, networking, and applications to the general public over the internet. The resources are shared among multiple tenants, making it cost-effective and flexible. Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
Private Cloud Deployment Model: The private cloud deployment model is designed for a single organization or business, offering exclusive access and control over computing resources, storage, applications and services. It allows for tighter control of security, compliance and customization. However, it requires significant investments in hardware, software, and maintenance costs. Examples include OpenStack and VMware vCloud Suite.
Hybrid Cloud Deployment Model: The hybrid cloud deployment model is a combination of public and private cloud deployment models. It offers a greater degree of flexibility, scalability, and cost efficiency by allowing companies to run applications and workloads in public or private clouds based on their needs. It also enables smooth transition between the two environments. Examples include Microsoft Azure and AWS Outposts.
Community Cloud Deployment Model: The community cloud deployment model is designed to serve a particular community or group of organizations with shared objectives, common goals and similar compliance requirements. It is often utilized by healthcare, government agencies and educational institutions.
Multi-Cloud Deployment Model: The multi-cloud deployment model involves the use of multiple public cloud service providers and/or private clouds in a single environment. It provides access to a wide range of cloud services and avoids overreliance on a single cloud provider, reducing the risk of vendor lock-in.
Distributed Cloud Deployment Model: The distributed cloud deployment model distributes public cloud services to local data centers and edge devices. It enables faster data processing, lower latency and improved performance, making it particularly suited for IoT (Internet of Things) and edge computing applications.
"Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power..."
"Large clouds often have functions distributed over multiple locations, each of which is a data center."
"Cloud computing relies on sharing of resources to achieve coherence..."
"...typically uses a pay-as-you-go model..."
"...can help in reducing capital expenses..."
"...but may also lead to unexpected operating expenses for users."
"...without direct active management by the user."
"Large clouds often have functions distributed over multiple locations..."
"Cloud computing relies on sharing of resources to achieve coherence..."
"...which can help in reducing capital expenses..."
"...computing power, without direct active management by the user."
"...which can help in reducing capital expenses..."
"...without direct active management by the user."
"...but may also lead to unexpected operating expenses for users."
"Large clouds often have functions distributed over multiple locations, each of which is a data center."
"Cloud computing relies on sharing of resources to achieve coherence..."
"Large clouds often have functions distributed over multiple locations, each of which is a data center."
"...especially data storage (cloud storage)..."
"...on-demand availability of computer system resources..."