Scalability is a long term planning and adopted just to deal with an expected increase in demand. Software development. Google Cloud TPU v3 speed-ups as demonstrated by Google’s MLPerf Inference 0. 2:. Cloud elasticity is required for short-term bursts, such as a spike in website traffic as a result of a sales promotion. See how it works and how it compares to cloud scalability. These adjustments are examples of elastic behavior. Customers can simplify application deployment, management, and scalability while improving uptime with the recently introduced flexible orchestration mode. What is the difference between cloud scalability vs cloud elasticity? Scalability is about making a system bigger or smaller based on needs. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software services’ performance requirements. I interprete elasticity as the capability to react to more or less daily variation in resource needs. 84 TB of RAM and 128 CPUs, will cost you roughly US$3. It turns out, one of these features generally attributed to the cloud is, in fact, more “cloudy” than the other. . The popularity of cloud computing is climbing, and organizations are adopting cloud technology at an overwhelming rate. More specifically. Scalability refers to the growing or shrinking of workflows or architectures in pre-built infrastructures without impacting performance. on Autonomic Computing (ICAC 2013), San Jose, CA, June 24-28, 2013. 79 per hour. Scalability is the ability to add, remove, or reconfigure hardware and software resources to handle an increase or decrease in usage. Let’s look at some of the different types of scalability in cloud computing. Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. Scalability vs Elasticity The main aim of cloud elasticity is to ensure that the resources are sufficient at every given point in time. 2. Cloud Scalability vs Cloud Elasticity. Cloud Elasticity is a tactical resource allocation operation. Elasticity vs. Load balancing provides the following benefits: Scale your app. the ability of a system to adapt to a changing. But, while they are similar in concept, there is a key difference between the two. Welcome to a 99-second-tutorial by Zighsys Technologies, on Scaling Versus Elasticity. Elasticity usually is an attribute that software architects seek in the cloud providers, where scalability usually we discuss when we have governing constraints such as our data centres. Although these two phrases are frequently used synonymously, they are distinct from one another. Scalability vs. Elasticity is used temporarily to handle sudden workload changes. Elastic environments care about being able to meet current demands without under/over provisioning, in an autonomic fashion. They describe the way cloud infrastructure is able to expand and shrink to match the actual dynamic workload and are discussed as follows: Scalability: This means adding resources either to the existing instance (scale up) or in. Running on multiple clouds provides redundancy if one system should fail. Flexibility. While scalability helps manage long-term growth, elasticity ensures excellent service in the present. Scalability and elasticity are often confused, but they are distinct attributes of a data center or cloud environment. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in. Elasticity is the ability for your resources to scale in response to stated criteria, often CloudWatch rules. In general usage, “cloud scalability” relates to the server space and resources used per online service or business application (i. Definitions First. Cloud Elasticity vs Cloud Scalability. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. Cloud elasticity refers to the ability to quickly and temporarily adjust resources in response to sudden or seasonal changes in workload trends. SCALABILITY: MAIN DIFFERENCES TO KNOW ABOUT. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. The software program may be scaled up in a variety of ways to achieve high flexibility. The market of cloud services is very sizeable, and you’ll surely find a service that gives you both numbers and quality. Iterate on implementation and testing until you can meet requirements. Agility Vs Elasticity In Organizations. CIOs, cloud engineers, and IT managers should consider when deciding to add cloud services to their infrastructure. private cloud Private cloud is cloud infrastructure operated exclusively for one company. We will be glad to partner with you in achieving your business vision. scalability in cloud computing: The final word; Scalability vs Elasticity: Difference between. Scalability vs. The free-for-now feature is supposed to jazz up your data analysis, but the internet is skeptical. It is a long-term event that is used to deal with an expected growth in demand. Whereas Cloud Scalability is a strategic resource allocation operation. Содержание Cloud Elasticity Vs Scalability What Is The Difference Between Elasticity And Scalability? Scaling Agility For The Modern Enterprise Cloud Environments In Cloud Computing Public Cloud Environment What Approach Should You Adopt For Scaling Your Cloud Services? Consistent Performance In…Elastic Cloud Storage is the industry’s leading object-storage platform that has been engineered to support both traditional and next-generation workloads. Scaling out vs. Because these two terms. As an example, let us imagine an application, application A, running o. While it is a Distributed computing architecture. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. Over-provisioning is when more resources are allocated than are required, and it should be avoided, particularly in a cloud model because the service provider must pay for all allocated resources, which can increase the cost. Elasticity pertains to individual machines and how much RAM and processing power it will need or use. It refers to the ability to automatically scale resources up or down based on real-time demand. Elasticity versus scalability. The key to cloud adaptability is the capacity to increase or decrease IT resources according to demand shifts. Keep expanding your cloud computing expertise with IBM’s self-paced, online course Introduction to Cloud Computing. With cloud scalability, you may modify the resources that are already. In a month, the application has a load of around 20% for 3 weeks. Detect and automatically remove unhealthy VM instances using health checks. I interprete elasticity as the capability to react to more or less daily variation in resource needs. 4 min read - Organizations worldwide are embracing the power of cloud computing to drive innovation, enhance scalability and improve operational efficiency. Accessed from the cloud : these days it seems like everything is. Discover the pros and cons of each method and find out which one may be the best fit for your organization's needs. Learn about the two main types of cloud scalability, Scale Up and Scale Out, in our latest blog. Cloud elasticity. The first difference to address is cloud scalability vs cloud elasticity. Vertical Scaling. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. CLOUD ELASTICITY VS. 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. Demand includes . Related articles: AWS VS AZURE VS GOOGLE: CLOUD COMPARISON. Contents. 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. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Elasticity and scalability are fundamental when designing and. Scalability and Elasticity in Cloud Computing; Cloud Bursting vs Cloud Scaling; Automated Scaling Listener in Cloud Computing;. Scalability and elasticity are fundamental elements of cloud computing. Learn the five key concepts of software architecture: scalability, availability, reliability, performance, and resilience. You can scale computer processing, memory, and storage capacity in cloud computing to match changing demands. While scalability vs elasticity needs to be considered, there are some similarities that need to be highlighted too. Cloud applications are designed to run on the public cloud and take advantage of all its features. Additionally, scalability promotes optimal resource utilization and cost-efficiency. 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. Scalability describes a system’s elasticity. In this video, I have explained about Scalability VS Elasticity"Scalability" and "elasticity" refer to an adaptability to changes in the cloud environment, namely the ability to expand and contract as needed. Here’s why. 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,. 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. But the definition of scalability and elasticity in cloud computing is not complete without understanding the clear. How Is Cloud Scalability Helpful To You As A Consumer? Fault Tolerance: Best Practice #3: Horizontal Cloud Computing Scalability With Mongodb; Conclusion Of Cloud Elasticity In Cloud Scalability;Содержание Use Case Three: Streaming Services Cloud Computing Mcq Three Forms For Scalability How Does Cloud Cost Optimization Relate To Cloud Elasticity? It Helps Provide Smooth Services What Is Cloud Elasticity? Cloud Elasticity Vs Scalability: Main Differences To Know About The Goal of high availability is to. Elasticity is the ability for your resources to scale in response to stated criteria, often CloudWatch rules. Elasticity allows businesses to meet fluctuating workloads efficiently while optimizing resource utilization and cost. Read More Cloud Elasticity Vs Cloud Scalability. No products in the cart. 2. Cloud elasticity vs. Indeed, ten years after the us nist provided a clear and concise definition of the term cloud computing, it is still common to hear cloud elasticity and cloud scalability treated as equivalent. When it comes to cost management with elasticity vs scalability, elasticity optimizes more for off-peak times. ”High Availability vs. 1. The key motivations for people to utilize cloud services are elasticity and scalability [10]. ”. In AWS terms, that would mean the way, for instance, EC2 makes instances available to you when needed, but lets you drop them when they’re not; charging you only for up time. While they are often used. You then delegate Cloud Vendors the task of adding and removing resources based on the load. It refers to the system environment’s ability to use. Cloud Elasticity vs Cloud Scalability blog. Cloud scalability, on the other hand, is for long-term growth that is strategically planned. The difference between elasticity vs. A third group of services integrate with AWS. Elasticity is a defining characteristic that. Simply put, scalability is the ability to add or subtract computing resources as needed. Running⛹ ♂️ in the cloud. 😉. Multicloud doesn’t just expand options, it also provides important backup. Matching needs to utilization is critical for cost optimization. Scalability Elasticity is used to match the resources that have been allocated with the actual resource amounts required at a given instance. It means that multiple customers of cloud vendor. Scalability helps an application adapt to changing needs by adding or removing resources as needed to meet demands. Elasticity vs Scalability. It turns out, one of these features generally attributed to the cloud is, in fact, more “cloudy” than the other. cloud scalability. 1. For this reason, both terms seem to be used interchangeably. Scalability requires manual intervention, while elasticity is completely automated. You may want to investigate golden Amazon Machine. Figure 3. Each degrades at different rates…Scalability in the cloud allows businesses to focus on growing their operations, instead of worrying about their IT infrastructure. You won’t overpay for off-peak periods. This means scalability requires more effort to manage resources, while elasticity can scale with minimal effort. AWS Scalability. Storage isn't as cut and dry as you think. Elasticity is “The ability to acquire resources as you need them and release resources when you no longer need them. Elastic computing is critical to cost reductions and time to market (TTM). Elasticity vs. For example, if you have a sudden spike. Scalable computing is typically broken out into vertical scaling and horizontal scaling. Answer: Both the web and database layers are scalable. Stored in the cloud. Cloud elasticity vs. This growth can be either the organic growth of a solution or it could be related to a merger and. In. 5 Closed submission. Essentially, the difference between the two is adding more cloud instances as opposed to making the instances larger. Elasticity allows for systems to dynamically add or remove resources to meet changing demand. Elasticity in cloud computing refers to changing cloud resources based on real-time demand. Elasticity Vs Scalability In Cloud Computing: The Final Word; However, given the large number of services and their distributed nature, debugging can be more difficult and maintenance costs can be increased if services are not fully automated. Elasticity Vs Scalability In Cloud Computing: The Final Word. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. What Is Agile Methodology? Tools, Best Practices & More. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same sentence. 4. You may want to investigate golden Amazon Machine. Solutions Solutions. Elasticity vs. com Web Service) that offered SOAP and XML interfaces for the Amazon product catalogue1. You can increase the. If a cloud resource is scalable, then it enables stable system growth without impacting performance. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. At work, three excellent examples of cloud elasticity include e-commerce, insurance, and streaming services. Scalability requires manual intervention, while. They are not the same thing. Even when using a single cloud provider, Vance recommends running in different regions, so that if one fails, another is there to back. 4. Scalability. Cloud elasticity vs. Currently, networked services are incorporated into. Also, if a new computer is. Oracle Exadata Database Service allows you to scale CPU up or down for existing nodes without any downtime. Cloud elasticity combines with cloud scalability to ensure both customers and cloud platforms meet changing computing needs as and when required. In cloud computing, resources are used in centralized pattern. Essentially, the difference between the two is adding more cloud instances as opposed to making the instances larger. scalability lies in their functions: Cloud Elasticity is a tactical resource allocation operation. On the other hand, cloud elasticity involves dynamically allocating and deallocating computing resources based on real-time demand. Both of them are related to handling the system’s workload and resources. Third, innovation participating with law is the watch of distributed computing (Gong, et al. Cost-efficiency: Cloud scalability enables companies to quickly have the systems they need and the compute power without the expense of purchasing equipment and setting it up. vertical scaling Horizontal scaling and vertical scaling are two different approaches used for increasing the performance and capacity of a system. Some of the main advantages of the cloud computing model are: • Cost efficiency. We calculated the scalability metrics ηI and ηt for the two demand scenarios for the cloud-based application for both cloud platforms. In the Scalability vs. However, there is more to scalability in the cloud than simply adding or removing resources as needed. One of the primary differences between scalability and elasticity is the scale of resources involved. So elasticity, as we have established, is. Elasticity and scalability are two critical factors to consider when building your application on the cloud. Cloud elasticity and cloud scalability ensure that both customers and cloud platforms can meet the changing demands of computing. Cloud computing is a disruptive force impacting the general climate of the IT world. 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. Elasticity and Scalability are two fundamental cloud architecture principles that guide AWS Architecture. While these two terms sound identical, cloud scalability and elasticity are not the same. Elasticity is also referred to cloud elasticity or elastic computing. AWS has numerous configuration administration solutions for AWS scalability, availability, flexibility, and. For example, a scalable web app is one that works well with one user or many users, and that gracefully handles peaks and dips in traffic. 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. Sep 29, 2023, 5:50 AM. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. Rapid Elasticity = CSC And Resource Pooling = CSP Yes. We would like to show you a description here but the site won’t allow us. This article will help shed some light on the difference between cloud elasticity and scalability in cloud computing. Both approaches increase capacity of an existing storage infrastructure. 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. Cloud Computing: Two Kinds of Agility. You can use the API or the Oracle Dynamic Scaling utility to automate this scaling. In essence, I will propose that Elasticity in the Cloud Computing context is a broader resource provisioning concept which encapsulates. 3 Benefits of Cloud Scalability and Elasticity. Scaling up, or vertical scaling, is the concept of adding more resources to an instance that already has resources allocated. Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. Scalability is our ability to scale a workload. Elasticity changes when resource demand goes up or down. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. I was recently helping at a Azure Fundamentals exam training day and the concepts of elasticity and scalability came up. Although it's very similar to scalability, scalability focuses more on removing or adding resources based on demands. More emphasis on cloud-native systems and use of cloud services (such as cognitive services or PaaS database services). It can be horizontal scaling, like adding more servers, or vertical scaling, like increasing a server's capacity. Scalability and elasticity are related, though they are different aspects of database availability. So, if you have a complicated and tedious deployment process, Docker will help you out a lot. That can be like shopping on an e-commerce site during a busy period, ordering an item, only. Scalability and elasticity in cloud computing are similar and often work together, though they have different definitions. 4. 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. Conclusion Of Cloud Elasticity In Cloud Scalability. Below are major cloud concepts in Azure or any other cloud platform. Gain access to an end-to-end experience like your on-premises SAN. Scalability is concerned with the system’s load that gradually increases over time. Scalability; Elasticity; Agility; Fault Tolerance; Disaster Recovery. Cloud Concepts. cloud scalability. It provides the necessary resources required for the current task and handles varying loads for short periods. Elasticity also implies the use of dynamic and varied available sources of computer resources. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. For example, scaling up makes hardware stronger; scaling out adds additional nodes. Scalability describes the way a system is designed to meet changing demand. Horizontal scaling vs. The elasticity and scalability of cloud is economically ideal for workloads with variable cloud-consumption patterns. Scalability handles the increase and decrease of resources according to the system's workload. The key difference between scalability and elasticity is the level of automation. Elasticity is vital if you use a cloud-based system that charges on a per-use basis. ) to an existing machine. 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. e. CLOUD ELASTICITY VS. See moreKnowledge Difference between Elasticity and Scalability in cloud computing By MW Team Updated on Aug 11, 2023 Scalability and elasticity are the. In essence, I will propose that Elasticity in the Cloud Computing context is a broader resource provisioning concept which encapsulates Scalability. . Elasticity optimizes. It allows you to scale up or scale out to meet the increasing workloads. Customers can also gain greater. scaling up. What is the difference between elasticity and scalability in cloud computing. There have been many studies and. Organizations use scalability to handle increased workloads. ” even though these terms are similar and are often used interchangeably, they have distinct differences. Image: 300. There are some key factors that differentiate these two features from one another. Scalability is easy enough to understand. The outcome of the above techniques was a reduction of 33% in monthly costs. Difference between Scalability vs elasticity. It simply means the ability to quickly ramp up additional resources, which in the cloud usually involves scale-out techniques across widely distributed. Storage elasticity is less well known than scalability, but it helps admins with efficiency and cost. 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. With most modern public clouds, you can use a managed service, such as MongoDB Atlas, to make it easily scale applications both horizontally and vertically. Cloud elasticity and cloud scalability may sound like synonyms, but from a cloud service standpoint, they mean two different things. i. Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. The session will discuss techniques to consider for achieving scalability and reliability and tradeoffs to consider such as time vs. Running⛹ ♂️ in the cloud. It Helps Provide Smooth Services What Is Cloud Elasticity? Cloud Elasticity Vs Scalability: Main Differences To Know About The Goal of high availability is to survive a data center loss. Cloud Scalability vs. Overview. Cloud elasticity works well in e-commerce and retail, SaaS, mobile, Dev Ops, and other environments with ever-changing demands on infrastructure services. Below are major cloud concepts in Azure or any other cloud platform. 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. Industry optimism and demand are making tech a robust sector of the economy. Below we discuss some factors that differentiate between elasticity and scalability in cloud computing. Scalability requires manual intervention, while elasticity is completely automated. 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. 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. The real difference lies in the requirements and conditions under which they function. Say we have a system of 5 computers that does 5 work units, if we need one more work unit to be done we we’ll have to use one more computer. ) without it negatively affecting performance. They are highly desired, after all! There are distinct differences between elasticity and scalability. cloud scalability. The most expensive AWS instance, with 3. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright. To differentiate it with elasticity, scalability is pertaining to long term needs as opposed to elasticity which is short term. Now with the advent of cloud, lightweight containers and server-less functions, there is a new way to handle these spikes and that is by scaling and descaling your system by observing your traffic. Now, you may think “that sounds a lot like cloud scalability. Elasticity allows for systems to dynamically add or remove resources to meet changing demand. However, stakeholders have little guidance for choosing fitting. A key priority is to make sure you have a sound observability strategy, because observability empowers SREs and production resilience. Get a Quote Get a Quote Hire Us. Elasticity in the cloud allows you to adapt to your workload needs quickly. The origins of AWS as a developer tool can be traced all the way back to 2002 when an initial beta was released (named Amazon. Cloud Monitoring. Executed properly, capitalizing on elasticity can result in savings in infrastructure costs overall. Cloud has its own comprehensive data backup and recovery system to enhance business strategies. Scalable and elastic solutions are both available from cloud providers. During the last week,. Cloud 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. Cost, security, performance, availability, and reliability are some common key areas to consider. We would like to show you a description here but the site won’t allow us. Cloud-based systems will win almost every time, except for cases when an organization already has its own infrastructure such as data centers. Cloud Elasticity vs Cloud Scalability. Session data should be moved off the EC2 instances. Multitenancy in Cloud computing: Multitenancy is a type of software architecture where a single software instance can serve multiple distinct user groups. Elasticity vs. Picture a restaurant in an excellent. Elasticity vs. . In fact, Scalability take advantage of predictability principle, and you have do to it in a manual way, by using your insights. 40 E Main St, Suite 721 Newark, DE 19711 United States. The speed with which files can be sent is another great thing about PHP. scale-out architecture for storage. Costs. In other words, we can say that scalability is employed to satisfy the static growth in the workload. When cloud elasticity is. There is often a misconception between Scalability and Elasticity. Elasticity optimizes resource allocation. While these two terms sound identical, cloud scalability and elasticity are not the same. To understand multitenancy, think of how banking works. When it comes to cost management with elasticity vs scalability, elasticity optimizes more for off-peak times. A video-streaming enterprise was able to establish a unit-cost relationship between the cost of cloud-computing services and the corresponding business demand drivers (such as compute cost per subscriber) based on. Gain access to an end-to-end experience like your on-premises SAN. Scalable cloud architecture is made possible through virtualization. Since the cloud service provider covers all costs connected with the servers. JoaoPauloPereiraBarbosa-4539 5. Successful, growing, systems often see an increase in demand over time. And then to remove them when they don’t need them. Scalability. GCP’s extreme pay-as-you-go packages for small-scale users tend to be slightly cost-effective than Amazon’s and Microsoft’s. Understand cloud concepts. cloud scalability. We can scale down, scale up, and scale out accordingly. Scalability, on the other hand, refers to a system’s, network’s, or process’s ability. This may become a negative trait where performance of certain applications must have guaranteed performance. Cloud Elasticity vs Cloud Scalability: Key Differences in AWS. Additionally, when resources are no longer needed, elasticity and scalability provide the. Cloud Scalability vs. When deciding which cloud service to use, it ultimately. Initially, specifically in the pre-cloud, and pre-SaaS. Elasticity allows an organization to scale a cloud-based service up. Cloud Elasticity vs Scalability. 6/21/2019. Scalability. ” As in the text below. Search engine optimization and other online advertising goals depend on how. on December 13, 2022, 6:35 AM PST. Scalability. Let's take a closer look at what. Discover the pros and cons of each method and find out which one may be the best fit for your organization's needs. In the cloud, you want to do this automatically. They are highly desired, after all! There are distinct differences between elasticity and scalability. While the two concepts sound like the same thing, the key difference between cloud scalability and cloud elasticity is time. Cloud Elasticity can be triggered and executed automatically based on workload. Typically controlled by system monitoring tools, elastic computing matches the. History. Scalability and elasticity have similarities, but important distinctions exist. To decide between scale-up vs. Cloud scalability is a feature of cloud computing, particularly in the context of public clouds, that enables them to be elastic. Here’s why.