the answer is "D"
"...AWS offers technologies for running code, managing data, and integrating applications, all without managing servers. Serverless technologies feature automatic scaling, built-in high availability, and a pay-for-use billing model to increase agility and optimize costs. These technologies also eliminate infrastructure management tasks like capacity provisioning and patching, so you can focus on writing code that serves your customers...."
Serverless computing allows developers to focus on writing code and organizations to focus on business.
This highlights the key advantage of serverless computing: it abstracts infrastructure management, enabling developers to concentrate on application development rather than server management, which is a primary distinction from traditional VM-based approaches where infrastructure management is still a concern.
D. Serverless computing allows developers to focus on writing code and organizations to focus on business is a key benefit of serverless computing. However, the best definition that highlights how serverless computing is different from using VMs is:
A. Serverless computing is a cloud-hosting service that utilizes infrastructure that is fully managed by the CSP.
This definition emphasizes that the cloud service provider (CSP) manages all the infrastructure, scaling, and maintenance tasks, which is the primary distinction from using virtual machines (VMs) where the user has to manage those aspects.
Serverless computing
abstracts away the underlying infrastructure, allowing developers to concentrate solely on writing code without worrying about server management, scaling, or provisioning.
A. Incomplete Explanation: While it is true that the infrastructure is managed by the CSP, this definition does not fully capture the core benefit of serverless computing, which is the focus on code rather than infrastructure management.
B. Not Always True: While serverless computing can be cost-effective, billing can be less predictable due to its event-driven nature. Costs depend on usage patterns, which can fluctuate.
C. Too General: This definition highlights scalability and availability, which are also characteristics of VMs and other cloud services. It does not emphasize the main distinction of focusing on code over infrastructure.
D. Serverless computing allows developers to focus on writing code and organizations to focus on business best captures the essence of serverless computing, highlighting the key difference from VMs: removing the burden of infrastructure management and allowing more focus on application development and business goals.
**D. Serverless computing allows developers to focus on writing code and organizations to focus on business.**
This definition best explains how serverless computing differs from using virtual machines (VMs). In serverless computing, developers don't need to manage or provision servers or VMs. Instead, they can focus solely on writing the application code, and the cloud provider takes care of the underlying infrastructure, including server provisioning, scaling, and maintenance. This allows organizations to concentrate on their core business logic rather than infrastructure management, which is typically required when using VMs. Serverless computing abstracts away the concept of servers or VMs, making it a more abstract and code-centric approach to cloud computing.
Compute may refer to one of two things: IaaS virtual machines, or so-called
serverless computing.
IaaS Compute may refer to an IaaS service that lets you provision virtual machines,
storage, and networking resources in the cloud.
Serverless/FaaS Compute can also refer to what the marketers call serverless computing
and what the technophiles call function-as-a-service (FaaS). In this model, the cloud provider
hands you a slick interface into which you can upload your own application code
written in a variety of programming languages, and the cloud provider executes it on
compute infrastructure that they fully manage. This model obviates the need to provision
virtual machines. Instead, the cloud provider handles the compute infrastructure, so all
you have to do is deal with the application code. FaaS is a type of PaaS offering.
The best definition that explains how serverless computing is different from using virtual machines (VMs) is serverless computing allows developers to focus on writing code and organizations to focus on their business, rather than managing and provisioning servers.
D. Serverless computing allows developers to focus on writing code and organizations to focus on business.
Serverless computing is a cloud computing model where the cloud provider manages the infrastructure and automatically allocates resources as needed to run and scale applications. Unlike VMs, which require the user to manage the entire operating system and associated software, serverless computing allows developers to focus on writing code without worrying about infrastructure management. With serverless computing, the user only pays for the computing resources used by their application, rather than paying for a fixed amount of resources as with VMs.
Voting C.
Google "SDN Technologies" & you get "Software-Defined Networking (SDN) is an approach to networking that uses software-based controllers or APIs to communicate with underlying hardware infrastructure and direct traffic on a network" That's what the questions is focused on - "how definitions of serverless computing BEST explains how it is different from using VMs" C offers "Serverless computing is a scalable, highly available cloud service that uses SDN technologies." Accessing VM's on the Cloud entails management of the underlying tech - whereas the serverless model means code *(where ever it is) can be relied on for hosting the required service. Using a VM seems somewhat static in the face of distributed "software-defined" networking (Cloud.) I'd vote C on this. Not confident this question is focused on what the business models demand - but more on how the tech differs.
Serverless computing is a method of providing backend services on an as-used basis, rather than provisioning and maintaining servers. In this model, the cloud provider (such as AWS Lambda or Azure Functions) manages the servers and underlying infrastructure, while the developer is responsible for writing the code that runs on those servers. This allows the developer to focus on writing code and logic to solve business problems, while the organization can focus on its core business, rather than managing and scaling infrastructure. This can also offer a cost advantage as the user only pays for the resources and execution time needed, instead of having to pay for idle servers.
Serverless computing is a method of providing backend services on an as-used basis. A serverless provider allows users to write and deploy code without the hassle of worrying about the underlying infrastructure.
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