Cloud service providers , such as Amazon Web Services (AWS) and Microsoft Azure, offer elastic cloud computing environments that allow users to adjust their resource. Cloud computing is a generic buzzword that generally refers to computing services offered on-demand from shared infrastructure somewhere on the Internet. Rapid elasticity B. So for this specific period of time, the. However,. On-demand self-service. Cloud computing is becoming popular worldwide as it offers innumerable. g. 4. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. Conclusion. Cloud computing allows users to access applications and data remotely, from any location at any time and from any online device, such as a laptop or mobile phone. Private Cloud. At moment , the website is unpopular and a. Cloud elasticity is a fundamental part of modern cloud computing. Let’s talk about the differences between scalability and elasticity. Physical control over data. A. Cloud: Another term for internet. The availability of various types of instances, operating systems, and software bundles, along with the fact that EC2 is compatible with most AWS providers S3, Relational Database Service (RDS), Virtual Private Cloud (VPC) make it a stable solution for computation, query. Cloud computing is an emerging. And still, you wish to know. Public cloud providers such as Amazon Web Services (AWS) and Google Cloud support rapid elasticity. In cloud computing, the term "Measured service" refers to a billing model in which gaining access to resources does not require payment of a flat fee. Rapid Elasticity: Scaling up or down resources becomes effortless, ensuring organizations can promptly meet fluctuating demands. The other aspect is to contract when they no longer need resources. When it comes to cloud computing and its characteristics, there are five essential characteristics of the cloud environment. 1. Furthermore, the Chair (PD) agreed that completely open access to information may result in Suppliers unnecessarily avoiding certain Devices. Cloud computing provides a sense of location independence. These services and their delivery are at the core of cloud. False. This is a key benefit of cloud computing that ensures that applications always have the right amount of resources. In cloud systems, a metering capability optimizes resource usage at a level of abstraction appropriate to the type of. The ability to scale up is not as efficient as. E. Cloud computing is so successful because of its. Measured service: Usage of cloud resources is metered so that businesses and other cloud users need only pay for the resources they use in. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. Clouds Computing or the Necessary characteristics of cloud services belong On-demand self- service, Broad network zugangs, Resource pooling, rapid elasticity. This allows cloud resources, including computing, storage and memory resources, to quickly be reallocated as demands change. Elasticity. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based. 1 On-demand self-service On-demand self-service allows customers to use cloud computing as required without human contact between consumers and service. Cloud computing customers do not own the physical infrastructure; they rent the usability from adenine third-party provider. ) Cloud computing D. Oracle Cloud Platform. To draw a roadmap of the current research activities of the sensor-cloud community, we first investigate the state-of-the-art sensor-cloud literature reviews published since the late 2010s and discovered that these. Rapid elasticity. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Elasticity is one of the most important characteristics of cloud computing paradigm which enables deployed application to dynamically adapt to a changing demand by acquiring and releasing shared computational resources at runtime. Public Cloud Definition, Scalability, and Rapid Elasticity. Another example of cloud computing is online document storage and collaboration services like Google Docs or Microsoft Office 365. This article reviews both classical and recent elasticity solutions. Cloud computing is a model for enabling ubiquitous, convenient, demand network access to a shared on-. Rapid elasticity. This is one of the best cloud characteristics. Rapid elasticity in cloud computing uses increased automation in your IT environment, which has many benefits. This cloud model is composed of five essential characteristics: On-demand self-service. Rapid elasticity. [] Measured service [] On-demand self-service [] Broad network access [] Rapid elasticity. 1) Private cloud 2) Hybrid cloud 3) Public cloud 4) Community cloud A) Provides resources to a single. The ability to deliver to customers only on request is not sufficient. The examples of cloud computing are everywhere from the messaging apps to audio and video streaming services. Microsoft. What is elastic computing or cloud elasticity? Elastic computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for. Measured service. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. g. This cloud model includes the five essential characteristics of cloud computing: On-demand self-service. Underneath I portray the three types of versatility as I see them, depicting what makes them not quite the same as one another. Dalam bahasa Indonesia, rapid elasticity memiliki arti elastisitas cepat. Scalable software can be easily copied for use in multiple servers deployed in multiple network environments. 1. The Oracle Cloud Platform is yet another among the PaaS examples in cloud computing used primarily at the enterprise level. But as days pass,their company grows, and hence the length of their database also. The growth and use of public cloud services is one of the most significant changes in corporate computing history. According to the National Institute for Standards and Technology, rapid elasticity refers to. This cloud feature facilitates the cost-effective operation of workloads that need many servers but are only required for a short period, such as database servers. Data storage capacity, processing power and networking can all be scaled using existing cloud. Elasticity, one of the major benefits required for this computing model, is the ability to add and remove resources “on the fly” to handle the load variation. , country, state, or datacenter). upvoted 2 times. Industries and application providers have moved or plan to move to clouds in order to focus on their coreBeing a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. Computer hardware consists of technology for computer processing, data storage, input, and output, such as large mainframes, servers, midrange computers, desktop and laptop computers. Elasticity in cloud computing is very helpful for businesses as and when they need to take measures to keep critical data secured and protected by providing added storage that they can scale immediately. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Although these two phrases are frequently used synonymously, they are distinct from one another. Cloud adoption drivers, barriers, and considerations. It can be said that the services in cloud computing are all measurable, some are based on time, some are based on resource quotas, and some. Let us illustrate elasticity through a simple example of a service provider who wants to run a website on an IaaS cloud. 3. Public clouds are operated and owned by third-party providers. PLAY. " Elastic computing is critical to cost reductions and time to market (TTM). (For those who want more. for example, a company or government, and it is accessed by only authorized users within that organization. Cloud Computing and of Essential characteristics of cloud products is On-demand self- service, Broad network access, Resource pooling, rapid elasticity. It enables you to scale the cloud computing services inward and outward, and it helps to be commensurate with the dynamic demand posted by the end-users. C. Elastic resources are critical to reducing costs and decreasing time to market (TTM). 1 Rapid elasticity A cloud is said to be elastic [49] if the resources it provides can be provisioned and deprovisioned dynamically and automatically. While the advantages of cloud computing is: (1) without any. This cloud model is composed of five essential characteristics: On-demand self-service. 3. In the cloud world, a multitenant cloud architecture. Rapid elasticity. 5. Cloud computing is so successful because of its. Rapid elasticity: Computing services should have IT resources that can scale out and in on a need-to-know basis. Otherwise, one would be able to use the cloud service only from a limited set of platforms. Meanwhile, cloud scalability focuses on managing the long-term growth of workloads, allowing organizations to handle anticipated increases in demand efficiently. These services enable you to create, edit, and share documents with others over the internet. For example, you can free up your IT staff to focus on core business functionality rather than scalability. com with an Apple ID and password. Elasticity is a key characteristic of cloud platforms enabling resource to be acquired on-demand in response to time-varying workloads. The Panel discussed the Options. 3. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. It allows businesses to efficiently and effectively manage their resources. The resources will differ depending upon the. Example Let's take an instance of a company whose database is small at first. g. Essential characteristic of cloud computing. Examples of resources include storage, processing, memory, and network bandwidth. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. The rapid evolution of deep learning (DL) in the artificial intelligence (AI) domain has brought many benefits that can be utilized to address industrial security issues in the cloud. Cloud computing public – private. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment. The presence of. virtualization and the cloud. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Answer:- a,b,c. It also discusses major issues and research challenges related. One example of a challenge faced in achieving elasticity in cloud computing is resource allocation and management. This is one of the five fundamental aspects of cloud computing. As the name suggests, elastic compute services offer a cloud service provider the ability to scale up and down the computing resources like memory, bandwidth, infrastructure, etc. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. Capabilities can be rapidly and. What aspect of cloud computing has worked to your advantage? a. For example, a cloud user may rent computing power, memory and data storage devices and run an operating system with applications of their choice on it. One example is Rapid Elasticity, which refers to the ability of cloud services to be elastically provisioned and released, typically following the demand. In addition, in large-scale cloud data centers, tens of thousands of compute and storage nodes are connected by a data center network to deliver a single-purpose cloud service. Cloud computing must have on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, On-demand self-service allows the consumer to access the computing capabilities automatically without having human interaction with the service provider. Rapid Elasticity. 1. Resource pooling. Resource pooling is an IT term used in cloud computing environments to describe a situation in which providers serve multiple clients, customers or "tenants" with provisional and scalable services. In conclusion, to the question of Cloud First or Cloud Smart – this question underlines the misconception of the cloud as a place. When it comes to cloud computing and its characteristics, there are five essential characteristics of the cloud environment. Cloud computing is economical. They’re. 15. Broad network access plays a vital role in facilitating connectivity, resource accessibility, and mobility within the cloud computing landscape. Examples of Rapid elasticity and scalability in a sentence. Elasticity is a defining characteristic that. The service is typically provided over the Internet. Firstly, one significant benefit is cost-efficiency (elasticity vs scalability in cloud computing ). 2 Resource pooling or Multitenancy. Answer:- c. Being able to rapidly decommission virtual servers when requested B. 1. Example: Consider an online shopping site whose transaction workload increases during festive season like Christmas. It provides a tool to the user for creating applications and deployment at cloud. For example, if the user needs to access more computing power, they can quickly and easily add more computing resources as. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Rapid elasticity. It is more cost effective to pay for resources used rather than having to pay for resources capable of meeting peak demand. Elasticity is used just to meet the sudden up and down in the workload for a small period of time. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Broad network access. By leveraging the benefits of rapid elasticity, organizations can achieve greater flexibility, agility, and cost efficiency in their operations. According to NIST definition of cloud computing, it has five characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, while mobile computing focuses on device mobility and context awareness considering networking and mobile resource/data access. †Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. A simple example architecture is provided below. Software-as-a-Service (SaaS) solutions are growing in. [July – Dec] NPTEL Cloud Computing week 1 Assignment Answers 2022. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. 3. Five essential characteristics: On-demand self-service, broad network access , resource pooling, rapid elasticity, and measured service. Cloud computing is to successful why from its. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Conclusion. Rapid elasticity Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly. Measured service, in terms of the cloud, takes the majority of the above effort out of the equation, thereby dramatically reducing the associated operational expense. When a user requests services, they are given, and the service is scaled down once the user’s needs are met. Now there is no need for non-production, development or test servers to. measured service. Cloud Computing and that Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. Examples of resources include storage, processing, memory, and network bandwidth. Elasticity can be automatic, requiring no capacity planning ahead of time, or it can be a manual process, alerting the company when resources are running low. Resource pooling. These examples showcase how rapid elasticity, facilitated by leading cloud providers, empowers organizations to meet fluctuating workloads efficiently,. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. Which of the following is not an example of cloud computing?. The final trait highlighted in the NIST definition of cloud computing is "rapid elasticity. Figure 4. Businesses are restructuring to embrace the various benefits of. Share. It is the third-largest cloud platform that powers Machine Intellect, Google. This, again, is potentially confusing since the term elasticity has been listed as an essential characteristic of cloud computing from the beginning 6,9,24,34 with, for example, the NIST Definition of Cloud Computing 34 speaking of rapid elasticity defined as "capabilities [that] can be elastically provisioned and released, in some cases. Scalability and Elasticity both are essential characteristics of cloud computing & Now, it is clear that the ability of a system to scale down or scale up is fundamental, but it is entirely different from its capability to respond quickly. ) Resource pooling. And it describes the cloud computing environment where the service provider serves many clients. A key feature and advantage of cloud computing is its rapid scalability. A private cloud, also known as an internal or corporate cloud, is dedicated to the needs and goals of a single organization whereas public clouds deliver services to. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment capital formerly wasted on paying for idle resources. Cloud allows network-based access to communication tools like emails and calendars. Rapid elasticity and scalability. They are all characteristics of cloud computing:Rapid Elasticity in Cloud Computing is the magic wand that empowers businesses to scale their resources dynamically as demands fluctuate. Broad network access. On-demand self service resource sourcing is a prime feature of most. One of the most common examples of cloud computing is Apple's iCloud. Cloud computing is so successful because of its. 4. 1. Rapid Elasticity. Cloud computing is attractive to business owners as it eliminates. 1,399 explanations. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. Cloud Computing refers to providing computing and communications-related services with the aid of remotely located, network-based resources without a user of such resources having to own. Support rapid growth and innovate faster with secure, enterprise-grade, and fully managed database. Cloud computing supports soft real-time services but is unfit for hard real-time systems because it cannot provide timeliness guarantees for the worst case. By. Rapid Elasticity Measured Service On-Demand Self-Service Essential Characteristics Models Deployment Models Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Resource Pooling National Institute of Standards and Technology (NIST) Cloud Computing Model Based on the U. Rapid elasticity or cloud elasticity is used in cloud computing to get scalable provisioning. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Find out the advantages of cloud computing and its benefits you can bring to your business. mainframe B. an example, a cloud customer can rent a. This. Which of the following is the BEST example of rapid elasticity In cloud computing? A. B)Rapid elasticity. For example, Google app engine and Openshift. Rapid provisioning and de. Rapid Elasticity. Because the cloud is elastic, you will only be given the assets needed to run that application. Rapid Elasticity merupakan sebuah karakteristik dimana kapabilitas (kemampuan) dari layanan cloud provider bisa dipakai oleh cloud consumer secara dinamis berdasarkan kebutuhan. Elasticity. Wats app is also a cloud-based infrastructure as it comes in communication it is also one of the examples of cloud computing. Customers access these resources on the Internet using a pay-as-per use model. Measured service. In this section, we give you the basics of what you need to know. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Here are some of the essential examples of how. 2. " Access to resources in the cloud is available over multiple. However,. A New Model for IT Infrastructure. The purveyor of products and services is the Cloud Provider. On Demand self service broad network access resource pooling rapid elasticity and consumption based pricing. 5 Ubiquitous Access. Cloud computing resources are monitored and metered,. Because the cloud is elastic, you will only be given the assets needed to run that application. DISTRIBUTED COMPUTING 1 Securing Elasticity in the Cloud Elastic computing has great potential, but many security challenges remain. A streaming service uses elasticity to. Elasticity [91] is a wellestablished concept in Cloud Computing, and it defines the ability of a system to adapt its resources to the workload variations by autonomously provisioning or. Sensor-cloud originates from extensive recent applications of wireless sensor networks and cloud computing. Examples of. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Cloud services have a lot to know about. A cloud computing service that is capable of scaling up or down as a customer's need level changes. Also, as more and more people start using such SaaS services as service providers. It is one of the layers of the cloud computing platform. Rapid elasticity. And then to remove them when they don’t need them. In other words, cloud scalability is. Rapid Elasticity in Cloud Computing. Mulai dari aplikasi hingga pusat data, semuanya melalui internet menggunakan basis pay-for-use atau bayar sesuai yang kamu pakai. This cloud. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. 3. To understand multitenancy, think of how banking works. Cloud computing is a promising technology that is expected to transform the healthcare industry. demand self-service, broad network access, resource pooling, rapid elasticity and measured service. Elasticity allows an organization to scale a cloud-based service up. Types & Examples; Cloud Computing Model: Characteristics & Descriptions; Cloud Service. The main benefits of agility in cloud computing are as follows: 1. Big data as a service is a famous example of big data with cloud. - [Instructor] Rapid elasticity is a cloud computing characteristic. The ability to deliver to customers only on request is not sufficient. Computing resources such as CPU/processing, memory, input/output. In the service provider view, cloud service elasticity is the ability to increase or decrease the amount of system capacity (for example, CPU, storage, memory and input/output bandwidth) that is available for a given cloud service on demand, in an automated fashion. It is more cost effective to pay for resources used rather than having to pay for resources capable of meeting peak demand. PaaS helps developers build customized applications via an application programming interface that can be delivered. For example, server overloads and outages would result from delaying expansion. Examining the found elasticity definitions, the differencesCloud scalability in cloud computing refers to increasing or decreasing IT resources as needed to meet changing demand. Google Cloud Platform. Four Deployment Models – Private cloud, community cloud, public. Measured service is a term that IT professionals apply to cloud computing. FaaS. A cloud that offered by cloud providers as opposed to an internal cloud created by a company . Public Cloud - A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space. The figure illustrates the related elements that come together to create clouds. How elasticity affects cloud spend. Scalability is always used to address the increase in workload in an organization. Cloud computing delivers affordable resource pooling solutions. Scalability is the ability to add or remove capacity, mostly processing, memory, or both, from an IT environment. 1. Resource pooling. Capacity of the cloud enables business to store information about user. C) Install the iCloud app from the App Store and log on with an Apple ID and password. Thus, in most of the. However, still, there might be some confusion in your mind. Cloud computing resources are monitored and metered,. • Four deployment models: private Clouds, community. A remote server hosting a virtualized user OS is an example of: [] VDI. First, "broad network access. Rapid elasticity: Cloud comp uting resources can be rapidly scaled up or down to mee t . It provides scalable services of cloud computing to users and clients. , Determine an example/ type of hypervisor where an administrator first installs. Cloud computing public – private. Capabilities can be elastically provi- sioned and released, in some cases automatically, to Fig. 1. Elastic computing is a part of cloud. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Click the card to flip 👆. g. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. On-demand self-service: This is the ability to provision a cloud resource on demand without requiring any human interaction with the service provider. An application needs a specific environment to run, including computing power, virtual machines (VMs), and storage space. So, the main objective to adopt cloud computing here is to provide rapid elasticity. These guidelines are the minimum requirement as additional services can be provided by a Cloud service. A cloud provider must ensure that it provides its customers with broad network access capabilities. The server will be used as a confidential database server for one of the companys core applications. PaaS b. Projects, workflows, and processes are elastically allocated cloud resources. On-demand service, remote accessibility through a variety of networks, resource pooling, rapid elasticity and measured service are the key characteristics of cloud computing. Rapid elasticity. Scalability is one of the prominent features of cloud computing. Cloud computing customers achieve not proprietary the physical infrastructure; they rent the usage from a third-party provider. Figure 3. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. 2. Choose all that apply. The National Institute of Standards Technology (NIST) lists five essential characteristics of cloud computing: on-demand self-service, broad network access, resource pooling,. Cloud computing services allow businesses and their clients to do their work seamlessly. The ability to acquire resources as you need them and release resources when you no longer need them. Events on e-commerce websites, like sales, promotions, and the. Instead of organizations having to make major investments to buy equipment, train staff, and provide ongoing maintenance, some or all of these needs are handled by a cloud service provider. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. For most industry observers, the cloud era began when Amazon Web Services offered their first service to the public on March 13, 2006. However, accurately predicting demands can be complex, leading to either underutilization or overprovisioning of resources. With Rapid Elasticity the cloud service provider allocates and provisions resources, such as servers, storage, bandwidth, and computing power, based on the required workload. Rapid elasticity and scalability should be regarded as the landmark signature characteristics of cloud computing. Rapid Elasticity in Cloud Computing. Scalability is one of the hallmarks of the cloud and the primary driver of its explosive popularity with businesses. To explain elasticity in the cloud, let’s look at the example of storing and running an application in the cloud. b. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. The cloud service provider facilitates cloud computing to increase the capacity or add capability, for example without investing in a new infrastructure, training new people or licensing new software. Assuming you set it up properly, you can set it so that when your utilization of a VM in the cloud reaches a threshold (say 80% for 15 minutes), another instance of that same VM would spin up. On the bottom of the diagram is a set of resource pools. Typical cloud computing characteristics. A. This provider decentralization is more efficient and more scalable. B. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. The pros of cloud elasticity include: High availability and reliability: Cloud elasticity allows users to enjoy a highly consistent, predictable experience, without the risk of services failing or becoming unavailable. Measured Service. Rapid elasticity in cloud computing allows infrastructure to expand or contract in response to demand fluctuations, ensuring that businesses can scale their operations seamlessly without being encumbered by fixed capacities. 6 Resiliency. Rapid elasticity (1) Let's step through these of these concepts individually. It is the third-largest cloud platform that powers Machine Intellect, Google. A) Open Finder and then open the iCloud Drive. Cloud Scalability vs. The shift to cloud computing amplified by COVID-19 and remote work has meant a whole host of benefits for companies: lower IT costs, increased efficiency and reliable security. 3. 21. Delaying shrinking will result in idle servers, which wastes your cloud budget. Dijiang Huang, Huijun Wu, in Mobile Cloud Computing, 2018. Q1. A key feature and advantage of cloud computing is its rapid scalability. A. The key elements of cloud computing are: Elasticity: The ability to scale up or down as needed, in order to. Rapid Elasticity . Elasticity is automatic and reactive to external stimuli and conditions. The charges for the services tend to be quite low. For marketing purposes, the term elastic-ity is heavily used in cloud providers’ advertisements and even in the naming of specific products or services. C)Resource pooling. The cloud computing capabilities can be released elastically. The ability of the cloud to grow to satisfy user demand is an example of which essential cloud characteristic? Rapid Elasticity. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. These features can be linked to the five NIST characteristics of cloud-computing, i. True or false: Resource pooling is the same as mulit-tenancy. Instead of organizations having to make major investments to buy equipment, train staff, and provide ongoing maintenance, some or all of these needs are handled by a cloud service provider. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data center when demand from a customer increases or decreases. Vulnerability exists when there is a. client/server C. Also, as more and more people start using such SaaS services as service providers. Here we will examine the primary goal of rapid cloud elasticity. On-demand self-service.