By. ☘ Cloud Elasticity can be automatic, eliminating the need for capacity planning ahead of time, or it can be a manual procedure in which the organization is warned when resources are running low. ”. Elasticity: A cloud's elasticity refers to its ability to adapt to shifts in demand by scaling resources up or down to provide additional resources during increased workloads and release them when not needed. Elasticity optimizes. Scalabilityelastic vs. Google Cloud customers can use these MLPerf results to assess their own needs for inference and choose the Cloud TPU hardware configuration that fits their inference demand appropriately. Essentially, the difference between the two is adding more cloud instances as opposed to making the instances larger. When deciding which cloud service to use, it ultimately. e. It also highlights which cloud solution or platform fits for. Elasticity vs. Cloud: Cloud costs, for data warehousing at least, are predominantly subscription-based. Elasticity refers to the ability to scale resources as needed, such as during business hours, to ensure that an application can keep up with demand, and then reducing the available resources during off-peak hours. Cost model. Elasticity and scalability are two critical factors to consider when building your application on the cloud. The term rate-limiting indicates the termination of an operational frequency from reaching a certain range. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in. Automatic scaling opened up numerous possibilities for implementing big data machine learning models and data analytics to the fold. Erl (if I have understand it correctly) that scalability is the ability of a resource to increase or decrease by demand, and that elasticity is the automatic scaling of a resource by demand of a resource. 4. Essentially, the difference between the two is adding more cloud instances as opposed to making the instances larger. Cloud Scalability Although they’re often mentioned in the same breath and even used synonymously, cloud elasticity and cloud scalability aren’t quite the same thing. Meanwhile,. Architecting for Reliable Scalability. Analyze current, previous and anticipated storage. Instances that become healthy again are. Since companies pay for only what they need and use, there is no waste on capacity. Elasticity refers to a system’s ability to grow or shrink dynamically in response to changing workload demands, like a sudden spike in web traffic. Cloud elasticity. Cloud computing is a centralized executive. Below are major cloud concepts in Azure or any other cloud platform. Scalability handles the increase and decrease of resources according to the system's workload. Cloud Scalability . The fundamental concept of the two is adaptability. Vertical scaling refers to increasing the capacity of a system by adding capability to the machines it is using (as opposed to increasing the overall number of machines). Capital expenditures, especially for hardware, dominate. Cloud providers can offer both elastic and scalable solutions. Cloud Elasticity Cloud Scalability; 1: Elasticity is used just to meet the sudden up and down in the workload for a small period of time. Private cloud combines many of the benefits of cloud computing—including elasticity, scalability, and ease of service delivery—with the access control, security, and resource customization of. Scalability describes the way a system is designed to meet changing demand. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Cloud elasticity vs. Elasticity is how fast you can adjust to and use those resources. Cloud Elasticity Cloud Scalability; 1: Elasticity is used just to meet the sudden up and down in the workload for a small period of time. With under. Additionally, scalability promotes optimal resource utilization and cost-efficiency. Gain access to an end-to-end experience like your on-premises SAN. Private cloud combines many of the benefits of cloud computing—including elasticity, scalability, and ease of service delivery. Elasticity is “The ability to acquire resources as you need them and release resources when you no longer need them. Powered by Higher Logic. To differentiate it with elasticity, scalability is pertaining to long term needs as opposed to elasticity which is short term. CLOUD ELASTICITY VS. It is of two types - horizontal and vertical. No products in the cart. Iterate on implementation and testing until you can meet requirements. This growth can be either the organic growth of a solution or it could be related to a merger and. turbonomic. Elasticity is vital if you use a cloud-based system that charges on a per-use basis. Scalability is easy enough to understand. . CLOUD ELASTICITY VS. In other words, cloud scalability is. Scalability E l a st i ci t y i s like compute as a service CaaS without limits S ca l a b i l i t y is the ability of a system to increase its capacity (workload) as. Содержание Elasticity And Scalability, Know The Difference Why Are Clouds Flexible? How Do You Determine Optimal Cloud Scalability? What Is The Difference Between Scalability And Elasticity? What Is Reliability And Scalability? Connect To A Sql Database With Visual Studio Code Growing Community A product will. It’s been ten years after NIST clarified the difference between Elasticity vs. Scalability and elasticity are often confused, but they are distinct attributes of a data center or cloud environment. This is only one aspect to elasticity. To understand multitenancy, think of how banking works. vertical scaling Horizontal scaling and vertical scaling are two different approaches used for increasing the performance and capacity of a system. This method is usually used when a single server is experiencing. Powered by Higher Logic. This means scalability requires more effort to manage resources, while elasticity can scale with minimal effort. This refers to how well your cloud services are able to add and remove resources on demand. Private cloud (also known as an internal cloud or corporate cloud) is a cloud computing environment in which all hardware and software resources are dedicated exclusively to, and accessible only by, a single customer. Elasticity can be part of a scalability plan. Scalability is the ability to add, remove, or reconfigure hardware and software resources to handle an increase or decrease in usage. While performance ensures that your website provides a seamless user experience, scalability ensures that your website can handle growth and future demands. “If we need to. Scalability will prevent you from having to worry about capacity planning and peak engineering. However, stakeholders have little guidance for choosing fitting definitions and metrics for these quality properties, thus leading to potential misunderstandings. Each degrades at different rates…Scalability in the cloud allows businesses to focus on growing their operations, instead of worrying about their IT infrastructure. There have been many studies and. not having to deal with computing resources is a good way to improve Elasticity. Discover the pros and cons of each method and find out which one may be the best fit for your organization's needs. Cloud scalability and cloud elasticity allow you to efficiently manage resources. An essential. Load balancing provides the following benefits: Scale your app. cloud scalability. As most applications nowadays are web-based, let's talk about elasticity. One of the most important considerations when migrating to cloud computing may be cloud. Elasticity optimizes resource allocation. Both cloud elasticity and cloud scalability are part of a larger concern about system adaptability, i. At its most basic level, database scalability can be divided into two types: Vertical scaling, or scaling up or down, where you increase or decrease computing power or databases as needed—either by changing performance levels or by using elastic database pools to automatically adjust to your workload demands. Although they have similar sounds, cloud scalability, and elasticity are not the same things. Cloud scalability is a feature of cloud computing,. Both scalability and elasticity are related to the number of requests that can be made concurrently in a cloud system — they are not mutually exclusive; both may have to be supported separately. Cloud Elasticity Vs Scalability: Main Differences To Know About An elastic system automatically adapts to match resources with demand as closely as possible, in real time. Third, innovation participating with law is the watch of distributed computing (Gong, et al. Scalability is a long term planning and adopted just to deal with an expected increase in demand. Advantages of Scalability & Elasticity. Scalability requires manual intervention, while elasticity is completely automated. enabling the hypervisor to create. Introduction. Scalability and elasticity represent a system that can grow in both capacity and resources, making them somewhat similar. scale-out for storage, consider factors such as data growth expectations, budget, criticality of systems and existing hardware. There are some key factors that differentiate these two features from one another. Cloud providers can offer both elastic and scalable solutions. Knowledge Difference between Elasticity and Scalability in cloud computing By MW Team Updated on Aug 11, 2023 Scalability and elasticity are the most misunderstood concepts in cloud computing. Scalability and elasticity are fundamental elements of cloud computing. In most cases, this is handled by scaling up (vertical scaling) and/or scaling out (horizontal scaling). Cloud computing allows your employees to be more flexible – both in and out of the workplace. Scaling up, or vertical scaling, is the concept of adding more resources to an instance that already has resources allocated. The ability to acquire resources as you need them and release resources when you no longer need them. These adjustments are examples of elastic behavior. Multicloud doesn’t just expand options, it also provides important backup. 5 Ways To Use Docker For Software Development Projects. Scalability. Scalability. Cloud scalability vs Cloud elasticity. Start optimizing your cloud infrastructure today! Leverage business risk observability for cloud environments to protect what matters most Security experts share why business risk observability is essential to assess risk, prioritize action and remediate security issues based on potential impact. The ability to acquire resources as you need them and release resources when you no longer need them. Running⛹ ♂️ in the cloud. Elasticity can address the challenges of limited physical resources such as. Organizations use scalability to handle increased workloads. Scalability and elasticity in cloud: Scalability can be defined as the cloud's ability to manage workloads by increasing or decreasing resources per the demand. As technology rapidly evolves, organizations are increasingly adopting cloud computing to improve their scalability,. Meanwhile, cloud scalability focuses on managing the long-term growth of workloads, allowing organizations to handle anticipated increases in demand efficiently. Although these two phrases are frequently used synonymously, they are distinct from one another. Sep 29, 2023, 5:50 AM. I know I am late to this discussion but for anyone trying to figure it out now, the key that CompTIA wants to identify as the major difference is Rapid Elasticity (RE) is AUTOMATIC and On-Demand (OD) is chosen by YOU. JoaoPauloPereiraBarbosa-4539 5. Here’s why. Scalable and elastic solutions are both available from cloud providers. 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. I interprete elasticity as the capability to react to more or less daily variation in resource needs. In general usage, “cloud scalability” relates to the server space and resources used per online service or business application (i. Delivery of services like compute, storage and networking over the internet is known as Cloud Computing, and the provider of such services is known as Cloud Provider. Stored in the cloud. In general, Scalability can be defined as the degree to which a system is able to meet application specific performance criteria in response to larger workloads by incrementally. Cloud elasticity refers to the ability to quickly and temporarily adjust resources in response to sudden or seasonal changes in workload trends. This adaptability creates a elasticity vs scalability in cloud computing dynamic environment capable of efficiently maintaining service quality despite rapid and unpredictable changes in workloads. When it comes to cost management with elasticity vs scalability, elasticity optimizes more for off-peak times. Additionally, scalability promotes optimal resource utilization and cost-efficiency. Cloud Elasticity vs. Cloud elasticity should be considered a granular approach to dynamically allocating resources to existing infrastructure in reaction to immediate demand fluctuations. In fact, Scalability take advantage of predictability principle, and you have do to it in a manual way, by using your insights. Horizontal and Vertical Cloud Scaling Similarities. Scalability: Adjusting capacity to meet demand. Indeed the notion of elastic resources in the IT supply chain is so desirable that Amazon named their cloud platform. High Availability vs Scalability (vertical and horizontal) vs Elasticity vs Agility in the Cloud; Elastic Load Balancers (ELB) Distribute traffic across backend EC2 instances, can be Multi-AZ; Supports health checks; 3 types: Application LB (HTTP – L7), Network LB (TCP – L4), Classic LB (old) Auto Scaling Groups (ASG)Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. Differences Between Scalability and Elasticity Last updated: June 13, 2023 Written by: Vinicius Fulber-Garcia OS Cloud Computing Virtualization 1. Vertical scaling is the ability to increase the capacity of an existing piece of hardware or software by adding additional resources without any decrease in performance. On the other hand, cloud elasticity involves dynamically allocating and deallocating computing resources based on real-time demand. Scalability. DIFFERENCE BETWEEN ELASTICITY AND SCALABILITY The distinction between scalability and elasticity is that the latter is always done automatically to meet sudden bursts in capacity demand, while the former addresses more predictable. Voice of the Customer Analysis. Session data should be moved off the EC2 instances. , 2010). Scalability. While in grid computing, resources are used in collaborative pattern. Scalability requires manual intervention, while. Cloud Scalability vs Cloud Elasticity. On the other hand, scalability tackles an application’s varying requirements within the infrastructure’s parameters by removing or adding resources statically to fulfill applications. . Cost efficiency: The biggest. Memory. 2. Cloud Elasticity. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same sentence. The key to cloud adaptability is the capacity to increase or decrease IT resources according to demand shifts. Below we discuss some factors that differentiate between elasticity and scalability in cloud computing. Google Cloud offers server-side load balancing so you can distribute incoming traffic across multiple virtual machine (VM) instances. resources from hour. But cloud elasticity and cloud scalability are still considered equal. Virtualization changes the hardware-software relations and is one of the foundational elements of cloud computing technology that helps utilize the capabilities of cloud computing to the full. It can be horizontal scaling, like adding more servers, or vertical scaling, like increasing a server's capacity. Marc Staimer, Dragon Slayer Consulting. Backblaze’s Q2 2023 drive stats show the bathtub curve is holding up itbrew. When a hardware resource runs out and can no longer handle requests, it is counted as the limit of scalability. Today, I want to shed some light on three crucial concepts that often get mixed up in the world of technology and business: scalability, elasticity, and agility. But the definition of scalability and elasticity in cloud computing is not complete without understanding the clear. Cloud Elasticity vs Cloud Scalability. Cloud scalability refers to how well your. Thanks to the pay-per-use pricing model of modern cloud platforms, cloud elasticity is a cost-effective solution for businesses with a dynamic workload like streaming services. Cloud Scalability Versus Cloud Elasticity. Scalability is used to meet the static increase in the workload. You may want to investigate golden Amazon Machine. Elasticity is also referred to cloud elasticity or elastic computing. This may become a negative trait where performance of certain applications must have guaranteed performance. Accessed from the cloud : these days it seems like everything is. Detect and automatically remove unhealthy VM instances using health checks. 1. For this reason, both terms seem to be used interchangeably. But cloud elasticity and cloud scalability are still considered equal. Published: 20 Sep 2022. We have 9 Pics about Rapid Elasticity In Cloud Computing - digitalpictures like Elasticity vs. Cloud providers can offer both elastic and scalable solutions. Fault Tolerance. Scalability is the ability to add, remove, or reconfigure hardware and software resources to handle an increase or decrease in usage. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. Rapid elasticity and scalability. As workload volumes increase, this requires the allocation and addition of more resources, or their withdrawal or redeployment as demand decreases/declines. In AWS, the process of getting the resources dynamically when you actually require them and then release the resources when you are done and do not need them is known as elasticity. Cloud Elasticity vs Cloud Scalability. It is how quickly a website can load and respond to user actions. The primary difference between horizontal scaling and vertical scaling is that horizontal scaling involves adding more machines or nodes to a system, while vertical scaling involves adding more power (CPU, RAM, storage, etc. In the cloud, you will usually use both of these methods, but horizontal scaling is usually considered a long-term solution, while vertical scaling is usually considered a short-term solution. Cloud elasticity and cloud scalability are additional criteria that have been added to this list of factors that will influence your decisions. Assess and discuss what factors encourage organizations to move to the cloud?It’s been ten years after NIST clarified the difference between Elasticity vs. Read or listen here: Cloud is a virtual resource that helps businesses to store, organize, and operate data efficiently. Conf. Multiple people can store their money in one bank, and their assets are completely separate even though they are stored in the same place. Click to share! High Scalability in Azure is the ability to increase your capacity based on the increasing demand for traffic, memory, and or computing power. While they are related, understanding the differences between cloud. Learn more about cloud computing with Coursera. Final Thoughts. This is what happens when a load balancer adds instances whenever a web application gets a lot of traffic. “Scalability in cloud computing can handle the changing needs of an application within the confines of the. cloud scalability. “An organization like the Boston Red Sox has cache and cash,” HYCU CEO Simon Taylor tells IT Brew. Although they’re often mentioned in the same breath and even used synonymously, cloud elasticity and cloud scalability aren’t quite the same thing. Elasticity Vs Scalability In Cloud Computing: The Final Word. Accessed from the. Have a look at the following comparison chart for clarity: Cloud Elasticity. It provides the necessary resources and capacity required for the current task and handles varying loads for short periods. About USPublication date: July 26, 2021 ( Document revisions) This whitepaper helps architects, data scientists, and developers understand the big data analytics options available in the Amazon Web Services (AWS) Cloud. docx from IS MISC at University of Dhaka. 1. Elasticity's purpose is to match the resources allocated with the actual amount of resources required at any given point in time. Infrastructure scalability handles the changing needs of an application by statically adding or removing resources to meet changing application demands, as needed. Scalability vs Elasticity The main aim of cloud elasticity is to ensure that the resources are sufficient at every given point in time. On-premises: Most on-premises costs come from purchasing, managing, and maintaining data center infrastructure, such as a server or an onsite data warehouse. Typically controlled by system monitoring tools, elastic computing matches the. Cloud scalability is utilised by big enterprises. Simply put, scalability is the ability to add or subtract computing resources as needed. Cloud Elasticity can be triggered and executed automatically based on workload. Scalability vs. Cloud elasticity. There is often a misconception between Scalability and Elasticity. Cloud has its own comprehensive data backup and recovery system to enhance business strategies. Elasticity. By Jim Cheshire. Lightsail is more cost-effective for small-scale applications with predictable resource needs, while Elastic Beanstalk can be more cost-effective for large-scale applications or those with variable workloads. Scalability is simply an increase in size or number—and, therefore, Elastic is also a form of scaling, but in this case within the same machine. scalability lies in their functions: Cloud Elasticity is a tactical resource allocation operation. Elasticity vs. Start optimizing your cloud infrastructure today!Leverage business risk observability for cloud environments to protect what matters most. The free-for-now feature is supposed to jazz up your data analysis, but the internet is skeptical. Содержание Cloud Elasticity Vs Scalability: Main Differences To Know About Elastic WordPress Cloud Hosting Drawbacks Of Public Cloud Cloud Scalability. Contribute to discoCommando/elasticity-presentation development by creating an account on GitHub. ” Well, cloud elasticity and cloud scalability are both fundamental elements of the cloud. Scale-up vs. Cloud Native App Observability. Elasticity is the capacity of a system to expand or contract dynamically in response to shifting workload needs, such as a sudden. Scalability refers to the growing or shrinking of workflows or architectures in pre-built infrastructures without impacting performance. {"matched_rule":{"source":"/blog(([/?]. That can be like shopping on an e-commerce site during a busy period, ordering an item, only. As was the case with the elasticity of public cloud infrastructure, the scalability of them is also something that is very difficult to match without spending a large fortune. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software services’ performance requirements. Industry optimism and demand are making tech a robust sector of the economy. A discussion of scalability wouldn’t be complete without mentioning elasticity—a similar metric but one with a slightly different meaning. Scalability and elasticity have similarities, but important distinctions exist. Scalability is very similar to elasticity but it's on a more permanent, less makeshift type scale. Scalability provides the ability to increase the workload capacity within a preset framework (hardware, software, etc. Learn more about the differences between cloud scalability and cloud elasticity, the benefits of the […] Businesses are investing heavily in cloud computing resources, and professionals with the right set of skills are much in demand. Scalability helps an application adapt to changing needs by adding or removing resources as needed to meet demands. Definitions First. This is also called scaling up. If a cloud resource is scalable, then it enables stable system growth without impacting performance. Cloud scalability and cloud elasticity are two of these terms, seemingly similar but having significant differences. From AT&T Bootstrap Week: This session focuses on architecture and design concepts to ensure scalability and maximize reliability for server-based applications running in the cloud environment. Cloud Concepts. It also helps prevent system overload or higher cloud costs from overprovisioning. While scalability helps manage long-term growth, elasticity ensures excellent service in the present. 4. The easiest way to explain these two is that cloud scalability involves adding/deleting computing-resources within the existing cloud. Elasticity is the ability of a system to manage available resources based on the current workload requirements. Elasticity Two terms in cloud computing often used interchangeably but that are, in fact different, are scalability and elasticity. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. ” As in the text below. This is when Cloud scalability comes into play. Overview. Executed properly, capitalizing on elasticity can result in savings in infrastructure costs overall. Also, if a new computer is. Conclusion Of Cloud Elasticity In Cloud Scalability. Elasticity vs. But many people often mistakenly use them interchangeably. 3. Successful, growing, systems often see an increase in demand over time. Scalability. Reduce time-to-value, lower costs, and enhance security while modernizing your private and public cloud infrastructure. Through the solutions offered by Microsoft Cloud, patients can now access virtual visits and book virtual appointments from the comfort of their homes. The objective is to measure various performance metrics like response times, throughput, scalability, and resource utilization to understand the cluster’s behavior and identify any performance. the ability of a system to adapt to a changing. Scalability, on the other hand, means that a website can handle more visitors and more demand . . In other words, horizontal scaling involves scaling out, while vertical scaling involves scaling. Cloud Scalability vs Cloud Elasticity. Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. In Proc. Cloud Elasticity vs Cloud Scalability. Cloud-based software services performance aspects are interrelated, both elasticity and efficiency are depending on the delivery of a sufficient level of scalability performance. elasticity - ability of a system to increase the workload on its present and additional hardware resources. Here are ten examples of how cloud computing is used in healthcare:. However, there is more to scalability in the cloud than simply adding or removing resources as needed. When the demand abates, services return to original resource levels. Cloud scalability ensures the system can handle increased loads by adding resources to the system, whereas cloud elasticity manages the swift provision and de-provision of resources in an automated. 0. Depending on the service, elasticity is sometimes part of the service itself. How they work together and the difference between the two concepts. How they work together and the difference between the two. Cloud scalability vs Cloud elasticity. Transitioning to the cloud can save your company money and time if you do it right. See figure 3. This is especially true for high-growth companies where what worked for the infrastructure last month, very well may not be enough horsepower to meet demand this month. They are highly desired, after all! There are distinct differences between elasticity and scalability. When deciding which cloud service to use, it ultimately depends. Cloud elasticity and cloud scalability may sound like synonyms, but from a cloud service standpoint, they mean two different things. Cloud computing is a disruptive force impacting the general climate of the IT world. In cloud computing, resources are used in centralized pattern. Elastic computing or Elasticity implies a cloud service provider’s capacity to rapidly scale up and down the utilization of resources such as storage, infrastructure,. The ability to scale up is not as efficient as. So, let’s sum up why that’s the case: Conclusion of Cloud Elasticity in Cloud Scalability. Availability of cloud storage and its scalability features is a key component of storage resources planning. Beyond cloud scalability and flexibility it has changed an approach to resource management. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. IT professionals can rely on external vendors to manage their infrastructure and hardware by using cloud services. They are highly desired, after all! There are distinct differences between elasticity and scalability. There is a significant amount of confusion among buyers about storage scalability, elasticity and on-demand. AWS cloud migration with IBM Turbonomic . While elasticity usually involves the dynamic allocation of. Fault Tolerance; Cloud Elasticity vs Cloud Scalability; Watch here a wonderful lecture on Elasticity; Cloud Computing: Two Kinds of AgilityHere are some key similarities between horizontal and vertical cloud scaling. Some people are confused when they are trying to differentiate cloud elasticity and cloud. Related articles: AWS VS AZURE VS GOOGLE: CLOUD COMPARISON. In the cloud, you want to do this automatically. Demand includes . Elasticity is the ability for your resources to scale in response to stated criteria, often CloudWatch rules. Scalability is used to meet the static increase in the workload. Scalability Elasticity is used to match the resources that have been allocated with the actual resource amounts required at a given instance. Essentially, the difference between the two is adding more cloud instances as opposed to making the instances larger. Elastic computing or Elasticity implies a cloud service provider’s capacity to rapidly scale up and down the utilization of resources such as storage, infrastructure, computing power, etc. This paper provides the clients with more valuable guidelines to choose the appropriate cloud computing models based on elasticity and autoscaling features of cloud-based on business & information technology’s (IT) good proven patterns, best practices and along with my research results. When is Cloud Elasticity Required? Browse other questions tagged cloud or ask your own question. The ability to simultaneously share documents and other files over the Internet can also help support both internal and. milvus on Functionality. The key difference is, scalable systems don't necessarily mean they will scale up/down - it's only about being able to reach. Here we deep dive into vertical scaling vs horizontal scaling in the Azure cloud. Cost Effectiveness. Benefits Of Cloud Scalability Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. By. In general, Scalability can be defined as the degree to which a system is able to meet application specific performance criteria in response to larger workloads by incrementally. While these two terms sound identical, cloud scalability and elasticity are not the same. This term “scalability” was coined to describe the ideal state of the architecture that is growth-friendly for successful startups. Comparative Analysis: Snowflake vs. Elasticity and scalability are two important characteristics of cloud computing. Scalability; Elasticity; Agility; Fault Tolerance; Disaster Recovery. Typically, this means organizations will decide between scale-up vs. What is your opinion about Elasticity vs Scalability ? I don’t think it is “vs” I think elasticity is a very valuable mechanism for achieving scalability.