Cloud Computing & Applications Unit 2

Cloud model that provides access to virtualized hardware resources, such as servers, storage, and networking.

A layer of cloud computing that allows developers to build and run applications on the provider's infrastructure without managing the underlying infrastructure.

Cloud model that provides access to software applications over the internet, typically on a subscription basis.

A cloud deployment model where IT resources are hosted in a data center owned and operated by the cloud provider, accessible to anyone.

A cloud deployment model where IT resources are hosted in a data center owned and operated by the organization itself, not accessible to others.

A cloud deployment model that combines elements of both public and private clouds, allowing organizations to leverage the best of both worlds.

A service offered by IaaS providers that provides the computing power needed for virtual machines.

A service offered by IaaS providers that provides storage capacity for data.

IaaS allows multiple users to share the same physical infrastructure, reducing costs and improving resource utilization.

IaaS provides on-demand access to resources via the internet, allowing users to scale up or down easily.

IaaS providers charge only for the resources used, making it cost-effective for organizations.

IaaS frees organizations from managing IT infrastructure, allowing them to focus on their core business operations.

IaaS provides the ability to quickly scale resources up or down based on demand, avoiding the need for upfront investments in hardware.

PaaS vendors offer a wide range of tools and services, such as programming languages, frameworks, databases, and more, streamlining development.

PaaS allows developers to focus on innovation and application development, reducing the burden of managing underlying platforms.

Software as a Service (SaaS) offers a single instance of the application for many users, reducing hardware and maintenance needs. Users access the software through a web browser or dedicated application. This model lowers initial setup costs and provides easy monitoring and automatic updates.

The SaaS model operates on a subscription basis, where vendors charge based on usage parameters like the number of users. This allows businesses to adjust costs based on actual usage.

Since the application is hosted remotely, users can access SaaS services from various devices like desktops, laptops, tablets, and smartphones. This offers great flexibility and convenience.

One of the key benefits of SaaS is that the service provider handles security and maintenance, reducing the need for in-house resources and expertise.

SaaS applications can connect to other systems and services through APIs, enabling seamless integration and data sharing. This makes it easier to streamline workflows and improve efficiency.

SaaS applications are often accessed directly from the provider's servers, eliminating the need for software installation on user devices. This simplifies deployment and reduces maintenance hassles.

Data is stored in the cloud, which can raise security concerns for some users. Robust cloud security measures are essential to mitigate this risk.

SaaS applications rely on internet connectivity to function. Disruptions to internet service can make the software unusable, highlighting the dependence on a stable internet connection.

A secure method of transferring data by creating a virtual connection using a VPN or remote transfer protocol that encrypts the data during transfer.

Using strong encryption to protect data, even if intercepted, rendering it meaningless without the decryption key.

A secure network connection that encrypts all communication between a client and a server.

Cloud computing refers to accessing applications, storage, and other resources over the internet through a shared pool of computing resources.

A cloud ecosystem is a network of interconnected components that enable cloud services, like hardware, software, cloud providers, and other businesses.

A cloud deployment model where IT resources are hosted in a data center owned and operated by the cloud provider, accessible to anyone. Example: AWS, Azure, Google Cloud.

A cloud deployment model where IT resources are hosted in a data center owned and operated by the organization itself, not accessible to others. Example: On-premise data center infrastructure.

A cloud deployment model that combines elements of both public and private clouds, allowing organizations to leverage the best of both worlds. Example: AWS Outposts.

This model refers to shared resources amongst organizations within a community, such as university campuses or government agencies.

This model allows an organization to use multiple cloud service providers, such as a combination of AWS and Azure for different workloads.

Cloud providers like AWS, Azure, Google Cloud, IBM, etc., offer infrastructure, platforms, and software over the internet.

Businesses, organizations, developers, and individuals who use cloud services for hosting applications and data storage.

A cloud service involving third-party experts offering compliance-related solutions to different industries, including healthcare, finance, and government.

CaaS involves assessing potential compliance risks, ensuring staff are adequately trained, and implementing necessary controls to meet regulatory requirements.

CaaS services cater to different industry needs, providing a variety of compliance solutions tailored to specific sectors.

CaaS providers offer experts in various regulatory compliance rules and regulations, helping companies navigate complex compliance standards.

CaaS enables companies to outsource compliance-related activities to specialized third-party organizations, freeing up internal resources.

CaaS can help companies avoid potential fines and legal issues by ensuring they comply with relevant regulations.

Cloud computing poses unique compliance challenges due to the complexities of data storage and processing across different jurisdictions.

CaaS helps organizations identify and address specific compliance risks, ensuring they take necessary steps to protect sensitive data and comply with regulations.