Cloud Elasticity. Assignment 1 Name: Hamza mubashir Rollno: (2019-IT-019) Search the following topics and present your findings in the form of a report. Ağustos 24, 2022. Image: 300. ” even though these terms are similar and are often used interchangeably, they have distinct differences. Scalability, High Availability, and Performance. Also, how elasticity is reliant on. Scalability is the measure of a system's ability to handle varying amounts of work by adding or removing resources from the system. Two terms in cloud computing often used interchangeably but that are, in fact different, are scalability and elasticity. Explore the differences in this article. ) to an existing machine. Build software that stands the test of time. 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. What is cloud scalability vs. This process works best in a Managed Cloud environment. Financial Services Lead, Customer Value & Transformation Advisory, Google Cloud. But elasticity also helps smooth out service delivery when combined with cloud scalability. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. In summary, elasticity in the cloud enables businesses to establish adaptable, responsive and cost-effficient systems, though the dynamic adjustments of resources accoriding to demand and guarantess optimal performance and resource utilizaation. the “application level”), whereas “cloud elasticity” relates to infrastructure as a whole (i. Scalability vs Elasticity. Problems solved by the Cloud. Scalability and elasticity have similarities, but important distinctions exist. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. Cloud Elasticity can be triggered and executed automatically based on workload. Elasticity in Cloud Computing: Unraveling the Differences. Scalability and Efficiency The terms Elasticity, Scalability and Efficiency are commonly used (and often misused) in the context of Cloud Computing. Scalability is the ability to add or remove capacity, mostly processing, memory, or both, from an IT environment. Along the way, we. In the cloud, you want to do this automatically. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. In summary, Auto Scaling helps to ensure the optimal use of resources, while Load Balancer helps to distribute the workload evenly and provides high availability. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. Auto-Scalability and elasticity both refers to an "automated jobs", so I think the correct answer is here "elasticity". While elasticity usually involves the dynamic allocation of. Scalability will prevent you from having to worry about capacity planning and peak engineering. Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. Cloud scalability vs cloud elasticity. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same sentence. They are as impactful to cloud computing as bookkeeping is to financial reports. 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. Horizontal elasticity consists in adding or removing. AMI. Related Readings: What is Cloud Computing? Understanding the Basics, Services and. The main principles of cloud agility help businesses harness cloud computing to achieve flexibility, scalability and accelerate innovation. What’s the difference? Cloud scalability is not to be confused with cloud elasticity. If you’re running a small business with 50 employees that all need. 84 TB of RAM and 128 CPUs, will cost you roughly US$3. i think, scalability - ability of a system to increase the workload on its present hardware resources. cloud scalability which however generally refers to a more long-term process. ; Upgrading specific components costs less than purchasing a new server. Analyze current, previous and anticipated storage. Therefore, this system will correct the resource provisioning automatically to adjust the user’s projects. Elasticity is used temporarily to handle sudden workload changes. 1: horizon- tal and vertical. Scalability refers to a more long-term (semi-permanent) change in the capacity of the cloud application. cloud scalability. There is a significant amount of confusion among buyers about storage scalability, elasticity and on-demand. In the Scalability vs Elasticity comparison, it’s very advantageous to have a fine-tuned system that was property elasticized and scales. Cloud-based software services performance aspects are interrelated, both elasticity and efficiency are depending on the delivery of a sufficient level of scalability performance. Rapid Elasticity in cloud computing is the ability of the system to adjust its resource allocation in real-time. The synergy between cloud automation and elasticity vs scalability in cloud computing cannot be overstated; it equips corporations with tools designed for modern day digital resource allocation while bridging gaps brought about by manually driven systems. By Jim Cheshire. Elasticity is the ability to fit the resources. While the two terms are often used interchangeably, they have distinct differences. However, processing and storage are still two of the most common uses of the cloud for companies. Scalability and elasticity represent a system that can grow in both capacity and resources, making them somewhat similar. In other words, elasticity in cloud computing refers to the ability of a cloud to automatically expand or compress the infrastructural resources on a sudden up and down in the requirement so that the workload can be managed efficiently. on December 13, 2022, 6:35 AM PST. Elasticity refers to the capability of a cloud to automatically boost or shorten the infrastructural resources, depending on the requirement so that the workload can be. Scalability requires manual intervention, while. There are two types of elasticity as shown in Fig. Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. Cloud computing. Definitions First. It turns out, one of these features generally attributed to the cloud is, in fact, more “cloudy” than the other. private cloud Private cloud is cloud infrastructure operated exclusively for one company. It provides the necessary resources and capacity required for the current task and handles varying loads for short periods. This could include growing the capacity of a cloud-based system's central processing unit (CPU), for instance, or its storage resources or memory. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. Automatic Scaling. The difference between elasticity vs. Spikes in usage can even happen by the hour or minute. 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 changing demands without worrying about capacity planning and engineering for peak usage. Cloud Elasticity. e. As part of the AZ-900: Azure Fundamentals exam, you are expected to understand the term high availability. Cloud Scalability vs Cloud Elasticity. Shared Responsibility Model for EC2. Scalability. Existing work on cloud computing is limited to the technical view of implementing elastic systems, and definitions or scalability have not been extended to cover elasticity. This document in the Google Cloud Architecture Framework provides design principles to architect your services so that they can tolerate failures and scale in response to customer demand. Gain access to an end-to-end experience like your on-premises SAN. Scheduled vs. . Features of scalability. If you’re going to implement scalability and elasticity into your cloud infrastructure, one of the best ways to do it is by using a low-code platform like DATAMYTE. Cloud computing has many business applications in 2021. • High Availability vs Scalability (vertical and horizontal) vs Elasticity vs Agility in the Cloud • Elastic Load Balancers (ELB) • Distribute traffic across backend EC2 instances, which can be Multi-AZ • Supports health checks • 3 types: Application LB (HTTP – L7), Network LB (TCP – L4), Classic LB (old)Содержание Scalability Vs Elasticity: A Comparative Analysis Azure High Elasticity Design For Scalability Vertical Scaling Scale Cloud Resources To Meet Your Example Of Cloud Scalability What Is The Difference Between Elasticity And Scalability? This means they only need to scale the patient portal, not the physician or office portals. 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. survivalinstincts. EC2 Instances Purchasing Options. While these two terms sound identical, cloud scalability and elasticity are not the same. Prioritize simplicity and clarity in the design. We would like to show you a description here but the site won’t allow us. scalability lies in their functions: Cloud Elasticity is a tactical resource allocation operation. Elasticity is the ability of a system to manage available resources. 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. Below we discuss some factors that differentiate between elasticity and scalability in cloud computing. It majorly affects RAM, bandwidth, and storage as the workload changes. 4. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. Scalability is used to meet the static increase in the workload. 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. Cloud elasticity refers to the ability to quickly and temporarily adjust resources in response to sudden or seasonal changes in workload trends. Elasticity is important because you want to ensure that your clients and employees have access to the right amount of resources as needed. APN Partner: A software or professional services firm in the AWS APN program that offer a wide range of products and expertise to help customers take advantage of the AWS Cloud. In general usage, “cloud scalability” relates to the server space and resources used per online service or business application (i. The ability to increase the size of the workload either software or hardware in your existing infrastructure and at the. Cloud scalability vs cloud elasticity Cloud vendors can provide both scalable and elastic solutions. A company hosts everything in-house in an on-premise environment, while in a cloud environment, a third-party provider hosts all that for you. Scalability. In other words, cloud scalability is. If we ask Wikipedia for a definition, it tells us, “Scalability is the property of a system to handle a growing amount of work by adding resources to the system. Multicloud doesn’t just expand options, it also provides important backup. Although these two terms sound similar, they do not always mean the same thing. Test elasticity both up and down, ensuring it will meet requirements for load variance. The real difference lies in the requirements and conditions under which they. Elasticity ensures. Conclusion Of Cloud Elasticity In Cloud Scalability. ) without it negatively affecting performance. High Availability. But many people often mistakenly use them interchangeably. S. ”. 4. Cloud Scalability vs. Rapid Elasticity = CSC And Resource Pooling = CSP Yes. Cloud Scalability vs. ) without it negatively affecting performance. Conclusion of Cloud Elasticity in Cloud Scalability. When an edge. 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. Start optimizing your cloud infrastructure today! Cost Effectiveness. With under. While we often use it to refer to a system’s ability to grow, it is not exclusive to this definition. Elasticity's purpose is to match the resources allocated with the actual amount of resources required at any given point in time. I look forward to being corrected for both our sakes, OP. Cloud elasticity and cloud scalability may sound like synonyms, but from a cloud service standpoint, they mean two different things. Scalability and elasticity are often used interchangeably but they have subtle differences. For example, if you’re hosting your website in the cloud, the cloud provider can dynamically adjust the resources available to your. Use cases; Elasticity vs Scalability; Frequently Asked Questions; What is elasticity . Related Readings:Powered by Higher Logic. 3. Scalability is the ability to add, remove, or reconfigure hardware and software resources to handle an increase or decrease in usage. Azure's largest instance includes 3. Scalability is very similar to elasticity but it’s on a more permanent, less makeshift type scale. Here are some key similarities between horizontal and vertical cloud scaling. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright. Auto-scaling is a vital component in cloud computing, enabling organizations to achieve scalability and elasticity while minimizing operational overhead. Scalability is the ability of a system to handle increasing or. Involve users throughout the planning process. VerticalScaling. Multitenancy in Cloud computing: Multitenancy is a type of software architecture where a single software instance can serve multiple distinct user groups. While elasticity usually involves the dynamic allocation of memory and CPU resources, scalability often consists of the provisioning of new servers to meet static demand growth. There are some similarities in scalability with the public and private clouds however there are many differences. vertical scaling Horizontal scaling and vertical scaling are two different approaches used for increasing the performance and capacity of a system. Cloud Scalablilty Cloud Elasticity; It focuses on adjusting resources to meet the expected increase or decrease in workload. By. Cloud scalability and elasticity are often used interchangeably. For instance, Netflix, one of the leading online streaming platforms across the globe, utilizes Amazon Elastic Compute Cloud (EC2) instances for provisioning higher-end graphics workstations and creating a high-performance cloud. The most expensive AWS instance, with 3. Horizontal scaling vs. Both elasticity. This refers to how well your cloud services are able to add and remove resources on demand. Elastic environments care about being able to meet current demands without under/over provisioning, in an autonomic fashion. Unlike cloud. Cloud Elasticity can be automatic, without need to perform capacity planning in advance of the occasion, or it can be a manual process where the organization is notified they are running low on. Know what exactly they are and the main differences between them. This is only one aspect to elasticity. Contents. Agility refers to the ability to deploy new applications and services quickly. Cloud elasticity and cloud scalability may sound like synonyms, but from a cloud service standpoint, they mean two different things. Elasticity is the ability of a system to manage available resources based on the current workload requirements. Scalability Vs Elasticity : Elasticity refers to the ability of the cloud to automatically expand or compress infrastructural resources in sudden up or down requirements so that the workload can. ago. Resource pooling. First, they enable you to cope with unpredictable and fluctuating demand patterns, such as seasonal peaks, spikes, or dips. On-Premise Vs. Vertical Scalability. Cloud Scalability vs Cloud Elasticity. Elasticity and Scalability are two fundamental cloud architecture principles that guide AWS Architecture. Elasticity, on the other hand, is the ability of a. Although these two phrases are frequently used synonymously, they are distinct from one another. High Availability. Additionally, scalability promotes optimal resource utilization and cost-efficiency. e. Scalability helps these businesses keep their online services available for clients in a cost-effective manner, regardless of fluctuations in demand. According to Wikipedia elasticity is defined as “the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible. Sep 29, 2023, 5:50 AM. Vertical Scaling. Scalability: ability to accommodate larger load by making the hardware stronger (scaling up) or adding nodes (scaling out) Elasticity: Once a system is scalable, elasticity means that there will be some 'auto-scaling' as that system can scale based on the load. Scalability vs Elasticity. The system starts on a particular scale, and its resources and needs require room for gradual improvement as it is being used. Scalability. AWS cloud migration with IBM Turbonomic . Ability to dynamically scale the services provided directly to customers' need for space and other services. Scalability; Elasticity; Agility; Fault Tolerance;. Scalability vs. By Jim Cheshire. Scale up/down elasticity: Adding or subtracting the resources themselves from the infrastructure, in the interest of adjusting performance to meet workload needs. ” Well, cloud elasticity and cloud scalability are both fundamental elements of the cloud. EC2 Capacity Reservations. Scalability & High Availability. “cloud scalability” is used in reference to shorter-term traffic demands. Cloud elasticity and cloud scalability ensure that both customers and cloud platforms can meet the changing demands of computing. Cloud Elasticity vs Cloud Scalability. In conclusion, understanding the difference between cloud scalability and elasticity is crucial for organizations aiming to optimize their cloud infrastructure. Cloud Concepts. So in cloud Virtual machine scale set you get automatic scale up and down of your VM instances. Scalability vs elasticity in cloud computing. Auto-scaling is a vital component in cloud computing, enabling organizations to achieve scalability and elasticity while minimizing operational overhead. Meanwhile, cloud scalability focuses on managing the long-term growth of workloads, allowing organizations to handle anticipated increases in demand efficiently. Ensure scalability and flexibility for future growth. Elasticity is vital if you use a. Marc Staimer, Dragon Slayer Consulting. EC2 Instance Store. Scalability is very similar to elasticity but it's on a more permanent, less makeshift type scale. It is a long-term event that is used to deal with an expected growth in demand. Scalability is used to meet the static increase in the workload. Cloud Scalability . Scalability vs. menu. The cloud stores your data in the public Cloud, while a data center stores your data on your own hardware. 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…Horizontal vs vertical scaling. Cloud Concepts. Elasticity is a 'rename' of scalability, a known non-functional requirement in IT architecture for many years already. Scalability provides the ability to increase the workload capacity within a preset framework (hardware, software, etc. Cloud scalability is a feature of cloud computing, particularly in the context of public clouds, that enables them to be elastic. It majorly affects RAM, bandwidth, and storage as the workload changes. free shipping on all orders from $59,99. Cloud elasticity. Here, you must to pay attention to the difference between "Scalabity" and "Auto-Scalability". Though adjacent in scope and seemingly identical, cloud scalability and cloud elasticity are not the same. 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 is required for short-term bursts, such as a spike in website traffic as a result of a sales promotion. Cloud elasticity. It turns out, one of these features generally attributed to the cloud is, in fact, more “cloudy” than the other. As an example, let us imagine an application, application A, running o. Scalability means to increase from 5 to 50 instances. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. When reading about cloud scalability, you have probably come across the term “cloud elasticity. Cloud scalability vs Cloud elasticity. Learn how azure elasticity and scalability Concepts works, this lecture is part of the Azure AZ-900 Exam. Microsoft Azure Elastic Storage provides high availability, scale-out capacity, data protection and redundancy for data. 39; asked Jan 24, 2019 at 10:30-1 votes. Scalability Vs Elasticity. cloud scalability. While these two terms sound identical, cloud scalability and elasticity are not the same. Follow step-by-step instructions in this Hands-on Lab to deploy the VMware Cloud stack on AWS, then configure networking settings, explore on-demand capacity, and more. While they are often used. Start optimizing your cloud infrastructure today!Cost Effectiveness. A proactive approach to scale is far less costly than a reactive one. Even when using a single cloud provider, Vance recommends running in different regions, so that if one fails, another is there to back. Broad network access. 0 $ 0. 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: Allows you to match the supply of resources—which cost money—to demand. Scalability pertains to the amount of the number of machines you can throw at a problem, and having multiple machines to solve it. It refers to a system's capacity to handle heavier or lighter loads. Cloud computing solutions can do just that, which is why the market has. 5. 3. An elastic system should immediately detect this condition and remove nine machines and release them to the cloud. Cloud-native applications constitute a recent trend for designing large-scale software systems. *)?$)","target":"//. Scalability is used to meet the static increase in the workload. Cloud Elasticity Cloud Scalability; Elasticity is used just to meet the sudden up and down in the workload for a small period of time. Load testing simulates various levels and patterns of user. In contrast, elasticity refers to daily/hourly capacity changes–when usage goes up and down. Scalability Vs Elasticity. Cloud elasticity vs. Load Testing. We’re probably going to get more seasonal demand around. Elasticity in cloud computing refers to changing cloud resources based on real-time demand. Elasticity: Cloud scalability allows for real-time resource adjustments based on workload changes. Cloud scalability refers to adjusting resources to efficiently handle the workload increase. Spikes in usage can even happen by the hour or minute. I read from the book of T. Businesses are investing heavily in cloud computing resources, and professionals with the right set of skills are much in demand. Cloud Monitoring. Elasticity In Cloud Computing. 97/hour. Cloud Elasticity. Typically, this means organizations will decide between scale-up vs. This is only one aspect to elasticity. 4. They are highly desired, after all! There are distinct differences between elasticity and scalability. EBS Snapshots. Although they have similar sounds, cloud scalability, and elasticity are not the same things. Cloud Elasticity. Here’s why. the ability of a system to adapt to a changing. “cloud scalability” is used in reference to shorter-term traffic demands. Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. Scalability refers to the growing or shrinking of workflows or architectures in pre-built infrastructures without impacting performance. Gain access to an end-to-end experience like your on-premises SAN. Scalability and Efficiency The terms Elasticity, Scalability and Efficiency are commonly used (and often misused) in the context of Cloud Computing. Cloud-enabled systems that demand elasticity, scalability, and composition of services, etc. Indeed the notion of elastic resources in the IT supply chain is so desirable that Amazon named their cloud platform. 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. For example, scalability enables you to go from one to a. Scalability is that feature which allows your system to adjust resources with change in load or demand. Types Of Scaling In Cloud Computing. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Step 3 – Click on the ADD button to add a new triggers. 😉. Application. For instance, a technology-based service. cloud scalability. the ability of a system to adapt to a changing. A reliable service continues to respond to customer requests when there's a high demand on the service or when. Scalability in the cloud allows businesses to focus on growing their operations, instead of worrying about their IT infrastructure. Cloud Elasticity vs. Elasticity is the ability of a cloud to expand or compress the infrastructural resources. 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. Cloud scalability or auto-scaling is a cloud computing feature that allows users to automatically scale cloud services, like virtual machines (VM) and server. Some people are confused when they are trying to differentiate cloud elasticity and cloud. You need less space in a server room to scale vertically than horizontally (cooling and power bills are also lower). We would like to show you a description here but the site won’t allow us. For example, we have two types of scaling: HORIZONTAL SCALING (known as Elastic model): Increase memory and storage (etc. Scalability Elasticity is used to match the resources that have been allocated with the actual resource amounts required at a given instance. EC2 Image Builder. You can match the number of resources allocated with the number of resources required at any given time, thanks to cloud elasticity. Scale up/down elasticity: Adding or subtracting the resources themselves from the infrastructure, in the interest of adjusting performance to meet workload needs. The company would, therefore, be ready for any scale performance with the process of cloud scalability. Application scalability is a core element of public cloud computing, enabling operators to add or remove compute instances as processing demands change over time. 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. EC2 Dedicated Instances. Scalability vs. Elastic Compute Cloud. 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. Scaling vertically. EBS Snapshots. Manual scaling is just as it sounds. Elasticity. EC2 Dedicated Instances. Vertical vs Horizontal ScalingConcepts. Although these two phrases are frequently used synonymously, they are distinct from one another. 9 Conclusion. There is also a hybrid version called diagonal scaling. Typically, a private cloud is hosted on-premises, behind the client company’s own firewall, but it can also be hosted on dedicated cloud provider or third-party infrastructure. Horizontal and Vertical Cloud Scaling Similarities. While scalability helps handle long-term growth, elasticity ensures flawless service availability at present. Performance requirements undergo massive changes as features and functionalities get added and eliminated to accommodate evolving business requirements. When cloud elasticity is. Elasticity, on the other hand, is the ability of a system to adjust its resources in response to changing workloads dynamically. Let’s talk about the three most important features of scalability in cloud platforms. Learn about the two main types of cloud scalability, Scale Up and Scale Out, in our latest blog. One AWS product, the Elastic Load Balancer scales automatically on demand with the traffic it receives for your application. Scalability is our ability to scale a workload. Definitions First. Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. Cloud elasticity goes beyond scalability by adding an automated and dynamic aspect to resource allocation. Understand cloud concepts. Scalability generally refers to more predictable infrastructure expansions. It refers to the ability to automatically scale. On the other hand, scalability tackles an application’s varying. You can use the API or the Oracle Dynamic Scaling utility to automate this scaling. this. Elasticity takes it a step further emphasizing the dynamic allocation and deallocation of resources based on. i. Today, the term “scalability” is often used interchangeably with “elasticity. Learn the five key concepts of software architecture: scalability, availability, reliability, performance, and resilience. It refers to the ability to automatically scale resources up or down based on real-time demand. Content Conclusion Of Cloud Elasticity In Cloud Scalability What Is The Difference Between Elasticity And Scalability? Elasticity Vs Scalability Vs Agility Vs High Availability Vs Fault Tolerance Vs Disaster Recovery Aws What Is The Difference Between Scalability And Elasticity? This also allows for additional sudden and unanticipated. The easiest way to explain these two is that cloud scalability involves adding/deleting computing-resources within the existing cloud. We can scale down, scale up, and scale out accordingly. When it comes to cost management with elasticity vs scalability, elasticity optimizes more for off-peak times. Cloud scalability and cloud elasticity allow you to efficiently manage resources. Elasticity: Allows you to match the supply of resources—which cost money—to demand. They enable to allocate as many resources as needed for the system to fulfill the workload requirements. ; AWS CloudTrail: A web service that records AWS API calls for your account and delivers log files to you. 2:. It automates the process of adjusting resource capacity to handle workload fluctuations. ” As in the text below. Elasticity in Cloud Computing ☁️ Let's Simplify! 📈 Scalability: Often a manual process, it's about increasing capacity to handle growth - It can be: ** Vertical Scaling. AWS Elasticity. AWS Scalability. Because these two terms. Tracking a scalability issue within a microservices deployment is much easier when working with traces. But cloud elasticity and cloud scalability are still considered equal. 8:17 pm. What is the difference between elasticity and scalability in cloud computing I read from the book of T. This article reviews both classical and recent elasticity solutions.