What is the difference between cloud scalability vs cloud elasticity? Scalability is about making a system bigger or smaller based on needs. A "horizontally scalable" system is one that can increase capacity by adding more computers to the system. On AWS, EC2 (Elastic Compute Cloud) instances are scalable virtual servers that allow you to run applications and services on various operating systems, such as Linux and Windows. "The most valuable feature of Amazon EBS (Elastic Block Store) is its scalability. Cloud Elasticity vs Cloud Scalability. Elasticity: Allows you to match the supply. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. With scalability, adding or removing resources in response to changing demand may require more human intervention. Elasticity and scalability are two important characteristics of cloud computing. Vertical Scalability. One of the most crucial characteristics of a database, and Amazon Redshift is no exception, is its ability to scale. AWS Certified Cloud Practitioner (CLF-C02) Exam Guide Introduction The AWS Certified Cloud Practitioner (CLF-C02) exam is intended for individuals who can effectively demonstrate overall knowledge of the AWS Cloud, independent of a specific job role. Obviously, whenever you want to run the docker based workloads, it is always better to go for either AWS ECS or AWS EKS. It is difficult to build scalable systems without experienced engineers tuning both parts of the engine. 75 TB of RAM and 160 CPUs. Each offers you a range of options to protect data using either server-side or client-side encryption. 16, we focused on scale, pushing the limits of Elasticsearch to make search even faster, memory less demanding, and clusters more stable. This is in contrast to a "vertically scalable" system, which is constrained to running its processes on only one computer; in such systems the only way to increase performance is to add more resources into one computer in the. Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). There are several components that all three platforms have in common, including a high degree of scalability, per-second billing, speed, security, and agility. Cloud application scaling is a 24/7 process that cannot be done manually. Scalability: AWS Amplify is designed to be highly scalable, meaning it can handle large amounts of traffic and data without any issues. Cost Effectiveness. The choice between ECS and EKS can significantly impact the ease of deployment, management, and scalability of applications. Scalability responds to longer business cycles, such as projected growth. The first step to configure a ASG is to go to the ASG dashboard, you can access making click in the “Auto Scaling Groups” in the left menu. HA can be both active or passive. This course is one of a collection of courses that prepares learners for the AWS Certified Cloud Practitioner 2019 certification. Stepping up for a truly open source Elasticsearch. per IP address with a running instance per hour. Therefore, it is long-term growth that is strategically planned. external usage – number of customers visiting the website Cloud elasticity is a cost-effective solution for organizations with dynamic and unpredictable resource demands. *)?$)","target":"//. (In AWS, Elasticity is the key concept)Architecting for Reliable Scalability. Here are some key similarities between horizontal and vertical cloud scaling. Click to share! High Elasticity in Azure is similar to High Scalability in that it is designed to increase or decrease system capacity based on the current workload placed on the system. This whitepaper describes the AWS Well-Architected Framework. Gao et al. EC2 is Amazon's service that allows you to create a server (AWS calls these instances) in the AWS cloud. Successful, growing, systems often see an increase in demand over time. This helps maintain application responsiveness improving overall scalability. It majorly affects RAM, bandwidth, and storage as the workload changes. Azure's largest instance includes 3. Matching needs to utilization is critical for cost optimization. Elasticity is automatically scaling up or down resources to meet user demands. It refers to a system's capacity to handle heavier or lighter loads. Amazon Web Service (AWS), Azure, and Google are dominating the market and are responsible for provisioning, managing, and maintaining infrastructure. On AWS you have the options to expand availability and recoverability among whatever services you choose. Although these two phrases are frequently used synonymously, they are distinct from one another. Elasticity versus scalability. The most expensive AWS instance, with 3. Azure's largest instance includes 3. That is not to say that AWS is better by default because Microsoft is a known. Docker Swarm is an open-source container orchestration platform. Systems are configured so that only clients are only charged for consumed instances, regardless of sudden bursts in demand. It enables companies to add new elements to their existing infrastructure to cope with ever-increasing workload demands. ) of a VM as the workload increases and reduces accordingly. 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. Processor counts. 0: Designing and Developing . To create an Auto Scaling group, you will first need to choose a template that your Auto Scaling group will use when it launches instances for you, called a launch configuration. Scalability is used to. The key difference is, scalable systems don't necessarily mean they will scale up/down - it's only about being able to reach. It can be horizontal scaling, like adding more servers, or vertical scaling, like increasing a server's capacity. This is only one aspect to elasticity. Essentially, elastically relates to proper resource allocation, and scalability relates to system infrastructure design. Amazon EBS allows you to create storage volumes and attach them to Amazon EC2 instances. AWS ECS Anywhere also lets you build, deploy, and orchestrate container-based applications on-premises and in the cloud. Users can launch instances with a variety of OSs, load them with custom application environments, manage network access permissions, and run images on multiple systems. AWS boosts the vastest physical infrastructure to date, with Azure a very close second and GCP catching up rapidly. Elasticity is similar to scalability, but it also implies the ability to dynamically adjust resources in response to changing demand. Sep 29, 2023, 5:50 AM. Amazon EC2 Auto Scaling provides elasticity and scalability. Pull-based. Both. Whereas Cloud Scalability is a strategic resource allocation operation. Here, AWS ECS is a managed service provided by Amazon. Scalability, elasticity, and agility. Well, let’s discuss here, the key differences between elasticity vs scalability in AWS. Introduction Application Auto Scaling is a web service for developers and system administrators who need a solution for automatically scaling their scalable resources for AWS services such as Amazon Elastic Container Service (Amazon ECS) services, Amazon DynamoDB tables, AWS Lambda Provisioned Concurrency, and more. Administrative Scalability: works with the increasing number of customers using a given computing system. Cloud elasticity vs. The term “Azure elasticity as a service” refers to a cloud service that allows for the automatic scaling of resources hosted by. Release date: October 2024. In summary, scalability refers to the ability to add resources to a system as demand increases, while elasticity refers to the ability to automatically scale resources up or down based on changes in. In Elasticsearch 7. An elastic system can be used to detect any changes in the workflows and also processes in the cloud. Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. If anything, Amazon has the starting lead as it has been in the cloud computing services space for more than ten years. In this way, we consider the time between a system failure and a replicated system starting working as inoperative time (which tends to be low, according to the desired high availability class). ☘ Features of Elasticity in Cloud Cloud elasticity enables both high reliability and fault tolerance, because virtual machines or containers can be duplicated if they appear to be malfunctioning, assisting in the. Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. High availability refers to the ability of a system or service to remain operational and accessible despite failures or faults. This is in contrast to a "vertically scalable" system, which is constrained to running its processes on only one computer; in such systems the only way to increase performance is to add more resources into one computer. The second is the scalability of teams and processes. Also called scaling up, vertical scaling means adding more hardware components to your current server. EC2 Instance Storage. Learn about Cloud Comouting and it's basic concepts, what is cloud computing, why we are using cloud computing and what is elasticity ,scalability and differ. The agility in Azure is handled by distributing the resources on your behalf. In this whitepaper, we'll walk through best practices for working with ElastiCache. System can adapt to workload changes by provisioning and de-provisioning resources automatically to match current demand as closely as possible. Data Pipeline is that developers must rely on EC2 instances to execute tasks in a Data Pipeline job, which is not a requirement with Glue. *)?$)","target":"//. Cloud scalability, on the other hand, manages the needs that keep on changing with time. Conversely, elasticity goes a step further and refers to the automatic and dynamic allocation of resources based on predefined rules or policies. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. The session will discuss techniques to consider for achieving scalability and reliability and tradeoffs to consider such as time vs. Firstly, one significant benefit is cost-efficiency (elasticity vs scalability in cloud computing ). Because applications deployed using AWS Elastic Beanstalk run on AWS Cloud resources, you should keep several configuration factors in mind to optimize your applications: scalability, security, persistent storage, fault tolerance, content delivery, software updates and patching, and connectivity. Public clouds offer services at low costs and in turn offer a product that can be utilized by a wide audience. For a quick and easy-to-implement guide on building a DDoS mitigation layer for static or dynamic web applications, refer to How to Help Protect Dynamic Web Applications Against DDoS Attacks by Using Amazon CloudFront. Scalability and Efficiency The terms Elasticity, Scalability and Efficiency are commonly used (and often misused) in the context of Cloud Computing. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software services’ performance requirements. Last week, Elastic announced they will change their software licensing strategy, and will not release new versions of Elasticsearch and Kibana under the Apache License, Version 2. Simply put, elasticity adapts to both the increase and decrease in workload by provisioning and de. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 700 instances and choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. 😉 So I thought I'd throw my hat into the ring and try my best to explain those two terms and the differences between them. AWS Dedicated Local Zones meet the same high AWS security standards that apply to AWS Regions and Local Zones. Elasticity. ". How they work together and the difference between the two concepts. A general breakdown of services is: AWS has the largest catalog of services. Enterprises building complex and large-scale applications in the cloud face multiple challenges. {"matched_rule":{"source":"/blog(([/?]. スケーラビリティは、システムの一般的な動作と平均的なワークロードに焦点を当て、中期的な将来の需要を予測しようとします。. g. On the other hand, ElastiCache is a fully managed cache service offered by Amazon Web Services (AWS). Thanks to scalability, you won't have to worry about peak engineering or capacity planning. Product information. 01. Scalability is the ability to add, remove, or reconfigure hardware and software resources to handle an increase or decrease in usage. Azure is open to Hybrid cloud systems, whereas AWS is less open to private or third-party cloud providers. Both of which are benefits of the cloud and also things you need to understand for the AZ-900 exam. AWS Auto Scaling automatically creates all of the scaling policies and sets targets for you based on your preference. Benefit from massive economies of scale. Scale up vs. It will cost you approximately US$5. 3. You can think of it as going up a set of stairs. How to achieve Vertical Scalability? By increasing the size of the instance. Elasticity is the ability to fit the. You need cloud scalability to meet customer demand. However, gp2 volumes reach a lower maximum throughput per volume (250 MiB/s) than gp3 volumes (1000 MiB/s). nano instance to u-12tb1. Even if you’re using virtual machines, the underlying resources such as disk space, CPU, and memory cost money. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. Creating a software system is a lot like constructing a building. 97/hour. Scalability. Cloud Scaling; Cost: The Grand Determinant; What Is Scalability? Scalability describes a system’s elasticity. AWS Scalability. per IP address with a running instance per hour. Sep 29, 2023, 5:50 AM. Experience unlimited EDA difference between scalability and elasticity in cloud computing licenses with true pay-per-use on an hourly or per-minute. In this architecture, you can run your regular workload on premises, and use your AWS workload as required for scalability and disaster recovery. Elasticity. 16,000 IOPS. Both […] Scalability is long-term planning and adopted just to deal with an expected increase/decrease in demand. 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. S3. Fault Tolerance. Depending on the degree of high availability (HA) that you want, you must take increasingly sophisticated measures along the full lifecycle of the application. Scalability and elasticity are the most misunderstood concepts in cloud computing. This allows you to handle sudden spikes in traffic or increased workload with ease. You can scale computer processing, memory, and storage capacity in cloud computing to match changing demands. There are six crucial benefits of the AWS Cloud: Trade upfront expense for variable expense. 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. Scalability vs. AWS boasts a vast global network of data centers, while Azure offers a well-distributed presence across the globe. 01. AWS has several methods for achieving HA through both approaches, such as through a scalable, load balanced. 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. Elasticity and scalability are two critical factors to consider when building your application on the cloud. AWS reInvent Net407-R slides/pdf format All other slide contents are created by using information i have learnt from various resources as well as AWS user guide For more details on AWS ELB Service, please refer the below URL for ELB. It can send metrics to Amazon CloudWatch. g. Lightsail has limited scalability and flexibility compared to Elastic Beanstalk, which offers auto-scaling and load balancing and supports custom configurations. Both products are popular with businesses of. But cloud elasticity and cloud scalability are still considered equal. An elastic system automatically adapts to match resources with demand as closely as possible, in real time. Single points of failure (SPOF) are commonly eliminated with an N+1 or 2N redundancy configuration, where N+1 is achieved via load balancing among active–active nodes, and 2N is achieved by a pair of nodes in active–standby configuration. Best Practices for Scaling Amazon Redshift. Cloud elasticity and cloud scalability may sound like synonyms, but from a cloud service standpoint, they mean two different things. A key difference between AWS Glue vs. AWS is cheaper than Azure for compute pricing, which forms the backbone of cloud deployments. . You can do whatever you want with this instance as well as launch n number of instances. Score 8. A system that is scalable can adapt to meet this new level of demand. It monitors the health of its registered targets, and routes traffic only to the healthy targets. Here is what some of our customers had to say about elastic. It is a term to describe how responsive. The challenge is that resource needs can change often and quickly. Cloud solutions architects should ideally “build today with tomorrow in mind,” meaning their solutions need to cater to current scale requirements as well as the anticipated growth of the solution. Cloud scalability. Click the card to flip 👆 - an application/system can handle greater loads by adapting 2 kinds of scalability: - vertical scalability - horizontal scalability (=elasticity) - Scalability is linked but different to High Availability. Cloud computing has many business applications in 2021. Elastic Beanstalk. Scalability is the ability of the system to accommodate larger loads just by adding resources either making hardware stronger (scale up) or adding additional nodes (scale out). Performing checksums on data and repairing the corrupted data from backups. Meanwhile, cloud scalability focuses on managing the long-term growth of workloads, allowing organizations to handle anticipated increases in demand efficiently. Performance. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. Most. The other aspect is to contract when they no longer need resources. Elasticity is a crucial concept in cloud-native application designs, due to most cloud providers, such as AWS, operating upon a pay-per-use model. AZ-900 Azure Fundamentals Training (1-2): Elasticity Overview. To configure auto scaling in DynamoDB, you set the minimum and maximum levels of read and write capacity in addition to the target utilization percentage. 5. Netflix on AWS. Elastic environments care about being able to meet current demands without under/over provisioning, in an autonomic fashion. Keep in mind elasticity requires scalability, but not the reverse. In 2006, Amazon Web Services (AWS) became the first major cloud computing provider. ) Scalability 2. Scalability. Scalability in cloud computing is more of a constant process of adding more to your system so that it would keep up with the demand. But cloud elasticity and cloud scalability are still considered equal. This new service unifies and builds on our existing, service-specific, scaling features. Since companies pay for only what they need and use, there is no waste on capacity. AWS couples scaling with an elastic approach so. AWS Network Load BalancersUse cloud services, containers and serverless for adaptive scaling. Amazon. There are 2 types of scalability. What does scalability mean in AWS? Scalability in AWS refers to the ability to rapidly increase or decrease the size and capacity of a computing resource in response to changing. ) Cost Optimization 5. Scalability in cloud computing is more of a constant process of adding more to your system so that it would keep up with the demand. g. • Elasticity and scalability . "I have seen the pricing on AWS, but I believe it's a discount price for organizations. AWS, Azure, and GCP Emerge. How it works. Among the various cloud service providers available, Amazon Web Services (AWS) has emerged as a popular choice for businesses seeking digital. Benefit from massive economies of scale – By using cloud. You don’t face a resource deficit. Policyholders wouldn’t notice any changes in performance whether you. So using a managed AWS load balancer is the way to go, but it cost less to set up your load balancer but it will be a lot more effort on your end. $ 0. Sign In to the Console. Most. Let's take a closer look at what. Horizontal and Vertical Cloud Scaling Similarities. See also Blessed Tattoo On Arm With Clouds. Also, how elasticity is reliant on. It is designed to make web-scale computing easier for developers. Users can launch instances with a variety of OSs, load them with custom application environments, manage network access permissions, and run images on multiple systems. A business that experiences variable and unpredictable workloads might seek an elastic solution in the public cloud. Cloud Scalability vs. This Horizontal Scalability is also called Elasticity. It’s been ten years afterNIST clarified the difference between Elasticity vs. Distribute your EC2 instances across all AZs in the Region. Figure #1. Vertical Scalability: scale up & down. DIFFERENCE BETWEEN ELASTICITY AND SCALABILITY The distinction between scalability and elasticity is that the latter is always done automatically to meet. Scalability vs Elasticity. Have a look at the following comparison chart for clarity: Elasticity and Scalability on the cloud is the ability for resources being used to be configured to scale. As an example, let us imagine an application, application A, running o. Doing that you will see the following page: Here we going to start with the configurations. AWS: AWS Cloud offers similar access and control as on-prem infrastructure without the inconvenience of having to maintain on. Final Thoughts. Answer: The bulk image uploads seem to exceed the capacity of the ECS cluster. Scale up and scale down. Both are AWS products, but they serve slightly different use cases. All you need to do to get started is to tell Azure how many virtual machines you want. It costs about $6. Once the target is operational, the AWS load. Reliability is writing a fault-tolerant software. Start optimizing your cloud infrastructure today! Scalability means that an application or System can handle greater loads by adapting to the user requests (also called Auto-scaling – one of the most important features of the Cloud). AWS plays a critical role in making Prime Day a success! One of the key benefits of cloud computing is scalability which means the ability of your system and application to handle an increasing. Cloud Elasticity vs Cloud Scalability. calability V/S Elasticity - Overview | A Comprehensive Guide | Cloud Interview Questions | #AWS #Azure #GCPLink to the Blog: 7, 2021 It’s been ten years after NIST clarified the difference between Elasticity vs. Scaling-In: Adding Virtual Machines (VMs) to support the increased. AWS Cloud Practitioner CLF-C01 exam. ISBN: 9781098146870. Find out how Equifax does it »It's been ten years after NIST clarified the difference between Elasticity vs. Scalability vs. It provides you with complete control. 1,000 MiB/s of throughput. Elasticity refers to how fast your application can scale up or down based on demand, while scalability refers to how the system can handle much load. Elastic environments care about being able to meet current demands without under/over provisioning, in an autonomic fashion. Scaling benefits for small and medium businesses. Scaling can also be vertical or horizontal. Learn About AWS. Scalability describes the way a system is designed to meet changing demand. You can think of it as going up a set of stairs. Both Auto Scaling and Load Balancer are important tools for managing large-scale systems and improving the performance,. It can seat up to 30 customers, including outdoor seating. Also, how. However, now cloud architects can achieve vertical scaling in AWS and Azure by changing instance sizes. DRS enables customers to use AWS as an elastic recovery site without. High Availability in AWS. The system’s measure of elasticity estimates how readily the. Amazon Elastic Compute Cloud ( EC2 ), for example, acts as a virtual server with unlimited. Vertical scaling is better when your application receives decent traffic. Elasticity. IT systems can scale vertically, horizontally, and sometimes both. Scale-up vs. For example, we can increase the number of CPU cores and memory in a web server (vertical) or we can increase the number of web servers (horizontal). A system’s scalability, as described above, refers to its ability to increase workload with existing hardware resources. What is cloud computing? Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. They use the Application Auto Scaling service to automatically scale based on metrics data. Amazon Redshift customers who have been previewing elastic resize before launch have immediately benefited by the scalability that it unlocks for them. 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. I was recently helping at a Azure Fundamentals exam training day and the concepts of elasticity and scalability came up. If every 1,000 users you get, you need 2x the amount of servers, then it can be said your design does not scale, as you would quickly run out of money as your user count grew. ☘ Scalability has been an of the cloud’s distinguishing features and the key driver of its growing appeal among enterprises. 0 (ALv2). It’s not just a simple tweak you can turn on. High Availability: HA usually goes hand-in-hand with Horizontal Scalability. involves increasing the capacity of of a single resource, typically by adding more power (such as CPU, RAM, or storage) to a single machine thus enhancing the capabilities of an individual server or componenet to handle increased workloads or demands. It’s been ten years after NIST clarified the difference between Elasticity vs. Using Route 53, you can direct a precise percentage of users to an AWS workload. Auto scaling, also referred to as autoscaling, auto-scaling, and sometimes automatic scaling, is a cloud computing technique for dynamically allocating computational resources. Amazon ElastiCache for Redis uses AWS Auto Scaling to manage scaling and Amazon CloudWatch metrics to determine when it is time to scale up or down. e. Elasticity rather reflects the condition of your system. Memory. Learn the five key concepts of software architecture: scalability, availability, reliability, performance, and resilience. Elasticity vs. Scalability is typically more suitable for predictable workloads that experience gradual growth over time. When it comes to cost management with elasticity vs scalability, elasticity optimizes more for off-peak times. Vertical vs Horizontal Server Scaling. 32/hour. 2 Domain 2. A potentially infinitely scalable service can be constructed with a small set of primitives: an elastic load balancer and a scaling group of server instances. When it comes to availability and reliability, both AWS and Azure prioritize delivering a robust and dependable cloud infrastructure. AWS Lambda is a serverless product that allows for the deployment of small applications or pieces of larger applications at a low cost. By MW Team. Cloud scalability is a feature of cloud computing, particularly in the context of public clouds, that enables them to be elastic. Elasticity allows for systems to dynamically add or remove resources to meet changing demand. Published: 20 Sep 2022. Both AWS and Azure offer a variety of instance sizes, allowing for vertical scaling in cloud computing for EC2 instances and RDS databases. Elasticity vs. Cloud Elasticity vs Scalability. The main principles of cloud agility help businesses harness cloud computing to achieve flexibility, scalability and accelerate innovation. This is done by adding or deleting the resources to ensure that. from t2. One of the most important considerations when migrating to cloud computing may be cloud. Test elasticity both up and down, ensuring it will meet requirements for load variance. Published: 20 Sep 2022. Amazon Elastic Load Balancer Amazon Elastic Load Balancer (ELB) is a cloud-based load balancing service provided by Amazon Web Services (AWS). Agility refers to the ability to deploy new applications and services quickly. Agile methodologies and the automation capabilities of the AWS Cloud go hand in hand with the core principles of change management as they are also designed to deliver business value quickly and efficiently. When you create a read replica, Amazon RDS creates read-only copies of your database and manages the asynchronous replication from the primary database. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. This growth can be either the organic growth of a solution or it could be related to a merger and. Amazon EC2 also has a variety of features that allows it to function better in conjunction with other AWS services. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in. Scalability is the ability of the system to accommodate larger loads just by adding resources either making hardware stronger (scale up) or adding additional nodes (scale out). Performance requirements undergo massive changes as features and functionalities get added and eliminated to accommodate evolving business requirements. Elasticity is also referred to cloud elasticity or elastic computing. AWS Global Accelerator improves the availability and performance of your applications. 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. 999%. Elasticity. {"payload":{"allShortcutsEnabled":false,"fileTree":{"sections":{"items":[{"name":"account_management_billing_support. The outcome of the above techniques was a reduction of 33% in monthly costs. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Scalability vs Elasticity. Vertical Scaling: Use Cases; On-Premise Vs. AWS offered a pay-as-you-go model that allowed businesses to only pay for the resources they used. Essentially, elastically relates to proper resource allocation, and scalability relates to system infrastructure design. High availability is not built into all AWS products. And then select “create auto scaling group”. Agility refers to the ability to deploy new applications and services quickly. It is a crucial feature of cloud computing platforms like. In other words, you've connected your device to the internet to store and manage data across your Apple devices. This can help us to automatically handle the capability of the system based on the increased or decreased demand. $. There are two primary factors that drive scalability. Create an AWS Account. The Application Load Balancer is a feature of Elastic Load Balancing that allows a developer to configure and route incoming end-user traffic to applications based in the AWS public cloud. Cloud Elasticity vs Cloud Scalability.