Azure SQL Database: 18 Options for SQL Server on the Cloud. Consider caching data to improve your workload performance. 1Conclusion. 2. AVD is a cloud-based service. e. Scaling out vs. They are so similar that we don’t distinguish them correctly. Elasticity is the ability of a cloud to expand or compress the infrastructural resources. This guide describes the recommendations for scaling and partitioning a workload. Scalability. Scalability means to increase from 5 to 50 instances. * I would think this would be Elasticity based my understanding. Azure and Azure Stack Hub are uniquely suited to support the needs of today's globally distributed business. There are two primary factors that drive scalability. Next post: Next: AWS Vs Azure Vs GCP – The Best Cloud Platform To Start Learning! Recent Blogs. Microsoft bundles Azure, on-prem server software, Visual Studio, and. Measured service. 2. Scalability is used to meet the static increase in the workload. In this video I have explained elasticity and scalability and how they are different and how they are similar. Rapid elasticity (1) Let's step through these of these. Document SQL API is Azure Cosmos DB's native API. The process is referred to as rapid elasticity when it happens fast or in real-time. What Do Reliability, Scalability, and. Cloud Elasticity vs Cloud Scalability: Key Differences in AWS. 743,919 professionals have used our research since 2012. {"matched_rule":{"source":"/blog(([/\\?]. Cloud Scalability vs. Resource pooling. Cloud elasticity vs. The first difference to address is cloud scalability vs cloud elasticity. On the Consumption plan, instances of the Functions host are dynamically added and removed based on the number of. But the definition of scalability and elasticity in cloud computing is not complete without understanding the clear. 32,000. 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. How they work together and the difference between the two concepts. High Availability. A scalable business can grow or shrink its output according to changes in demand without sacrificing quality or efficiency. One doesn’t have to provision servers anymore, they just need to write code that will be provisioned on as many servers as needed based on the actual load. Types Of Scaling In Cloud Computing. 1. CDI-Elastic uses Spark for large-scale data processing and Azure Kubernetes Service as the orchestrator. Multiple Workspaces: Quickly spin up 1000’s of new workspaces as needed in the same account with the right access and security policies applied. Whereas Cloud Scalability is a strategic resource allocation operation. An application can only be scalable. Vertical scalability includes adding more power to the current resources, and horizontal scalability means adding more resources to divide. When comparing 16-core VMs, AWS came out on top with the fastest iterations per second. Cloud Elasticity Elasticity's purpose is to match the resources allocated with the actual amount of resources required at any given point in time. Over the years, we’ve heard feedback from many you that you’d like more flexibility in how Azure Cosmos DB handles scaling and partitioning. Scalability is the ability of a system to handle the increase in demand without impacting the application’s performance or availability. Azure Elastic SAN Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. Coming in July from Cisco Press (ISBN: 1587143062). The ability to simultaneously share documents and other files over the Internet can also help support both internal and external collaboration. 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. Elasticity in Cloud Computing. However, there’s no one-size-fits-all answer when choosing Azure SQL vs. In this video I have explained elasticity and scalability and how they are different and how they are similar. Elasticity assumes scalability, but it is not a hard requirement. Elasticity, on the other hand, is the ability of a system to adjust its resources in response to changing workloads dynamically. Elasticity differs in that it's not defined by those limits, because if a server reaches its full capacity and additional resources are needed, that resource. Whereas Elasticity focuses on the ability to automatically scale resources based on demand. High Availability vs Scalability (vertical and horizontal) vs Elasticity vs Agility in the Cloud ; Elastic Load Balancers (ELB) ; Distribute traffic across backend EC2 instances, can be Multi-AZ ; Supports health checks ; 3 types: Application LB (HTTP – L7), Network LB (TCP – L4), Classic LB (old) ; Auto Scaling Groups. For this. ScalabilityAzure Elastic SAN Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. This is useful for moving data from a. "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. What Is Scalability? Intuitively, scalability is a pretty straightforward concept. 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. Azure SQL Database is based on SQL Server Database Engine architecture that is adjusted for the cloud environment to ensure high availability even in cases of infrastructure failures. Remember that with elastic scale, the application will have periods of scale in, when instances get removed. Typically controlled by system monitoring tools, elastic computing matches the amount. Linux on Azure learning modules, quickstarts, and moreMicrosoft Azure - Scalability. Cloud Scalability vs. When deciding between scalability and elasticity, several factors come into play. Changes in a company's operational demands frequently create a need for new IT services or to scale existing services. Hyperscale. Consistent Environment: Every time a pipeline runs, it does so in a fresh, consistent environment. For more information about device and message pricing, see Azure IoT Central pricing. AWS Elastic Beanstalk is a fully managed service offered by Amazon Web Services (AWS). Cloud elasticity vs. Skill Required for the certificationExam WeightsWhat is Cloud Computing:Cloud computing characteristics:Scalability: ElasticityAgilityFault ToleranceDisaster RecoveryHigh AvailabilityPrinciples of economics of scaleCapEx VS OpExp:Consumption Based ModelIaaS vs PaaS vs SaaS cloud service modelsCloud. Amazon Elastic Load. You need to bring all three together to achieve true. 53 2. A High Availability system is one that is designed to be available 99. Click on the Settings button of your environment. It reduces the need for an operator to continually. File system access: No. Understanding requirements: Use Azure Monitor to collect and analyze data from your workload. Amazon Redshift and Azure Synapse take the first approach where you need to provision a cluster of nodes. You can deploy a single data landing zone, or multiple ones. 3. This is equivalent to a downtime of approximately 53 minutes - just under an hour for an. Skills Learned Describe what is Cloud Computing Describe terms such as High Availability, Scalability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery Study Guide Microsoft Learn: Explore key cloud concepts Azure Homepage: Cloud computing terms 🌐 Wikipedia: Cloud Computing Characteristics Practice Test Question 1 Cloud computing. e. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. Choose the right caching option for your workload, preferring the platform caching services, such as Azure Redis Cache, over custom or self-hosted ones. Cloud Scalability vs. You can manage the workspace using the workspace UI, the Databricks CLI, and the Databricks REST API. Scalability responds to longer business cycles, such as projected growth. May 23rd, 2023 2 0. Cloud elasticity vs. " Provision time. Here, Azure Disk Storage provides a comprehensive spectrum of block storage options for any workload, regardless of performance needs. Gain access to an end-to-end experience like your on-premises SAN. There are two basic types of scalability in cloud computing: vertical and horizontal scaling. scalability lies in their functions: Cloud Elasticity is a tactical resource allocation operation. scaling up. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Sep 5, 2022. Elastic Database split-merge tool that moves data between sharded databases. Two types of scaling vertical and horizontal. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. Welcome to a 99-second-tutorial by Zighsys Technologies, on Scaling Versus Elasticity. Lets learn more about Scale sets in this article. Question # 17 (Sentence Completion) Select the answer that correctly completes the sentence. Scaling is adaptability of the system to the changed amount of workload or traffic to the web application. Cloud scalability vs Cloud elasticity. You may want to investigate golden Amazon Machine. Discover the pros and cons of each method and find out which one may be the best fit for your organization's needs. fokusfocus • 3 yr. Azure also provides elastic scalability, allowing you to scale resources up or down as needed. For more information about the service. AWS Elastic Beanstalk can be classified as a tool in the "Platform as a Service" category, while Microsoft Azure is grouped under "Cloud Hosting". Azure elasticity as a service is referred to a cloud service that enables in automatically scaling Azure hosted resources in par with the demand. e. Autoscaling takes advantage of the elasticity of cloud-hosted environments while easing management overhead. This growth can be either the organic growth of a solution or it could be related to a merger and. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Organizations that can accurately forecast their future needs and have predictable demand patterns can. 4, while Elastic Search is rated 8. Azure Elastic SAN Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. We can increase the Scalability of the instance in 2 ways: Vertical Scalability means increasing the size of the instance. This poses unique hurdles for companies trying to ensure compliance while enjoying both the benefits of elasticity in AWS or similar services such as Azure. three properties scalability, elasticity, and efficiency (ratio- nale: the source’s goal correlates with the goal of this work) • an explicit, detailed definition of one or more of the threeAdvantages of Cloud Scalability . ". The key to cloud adaptability is the capacity to increase or decrease IT resources according to demand shifts. How does cloud computing help scalability?By Noaa at Netreo on September 16th, 2015. Customers come and go throughout the day. Here are nine crucial considerations when choosing the cloud vs. what is the difference between scalability and. Microsoft Azure Elastic Storage provides high availability, scale-out capacity, data protection and redundancy for data. Elastic systems can detect changes in workflows and processes in the cloud, automatically correcting resource provisioning to adjust for updated user projects. com PE:05 Optimize scaling and partitioning. On the other. 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. A system’s scalability, as described above, refers to its ability to increase workload with existing hardware resources. The pros of cloud elasticity include: High availability and reliability: Cloud elasticity allows users to enjoy a highly consistent, predictable experience, without the risk of services failing or becoming unavailable. fokusfocus • 3 yr. For this reason, both terms seem to be used interchangeably. When you say that a system is scalable you are talking about the ability of the system to process more/ do more, when you add more. 3. Scaling can also be vertical or horizontal. An easy way to remember this is to think of a machine on a server rack, we add more machines across the horizontal. Basically, increasing or decreasing the resources for application is called scaling. 2, we’ll cover the overview and. There are three services related to Azure SQL to choose from: Azure SQL Database; Azure SQL Managed Instance; SQL Server on Azure VMs; Azure SQL Database is the most “managed” service out of the three. Without scalability, you may experience performance issues and potentially lose customers. Azure Managed Lustre Azure Managed Lustre is a fully managed, cloud. Customers that use a private cloud get all of the benefits of a public cloud, including self-service, scalability, and elasticity, plus more control and personalization. Now that we have an understanding of elasticity and scaling from the AZ-900 Series Part 2: Scalability and Elasticity post, let’s talk about another benefit which cloud computing provides – high availability. The key to cloud adaptability is the capacity to increase or decrease IT resources according to demand shifts. Each instance of the Functions host in the Consumption plan is limited, typically to 1. AWS cloud migration with IBM Turbonomic . IT systems can scale vertically, horizontally, and sometimes both. Vertical vs Horizontal Scaling. Elasticity. The arrival and evolution of event-driven computing change the administrator's role in application scalability. Scalability. You can mitigate. Gain access to an end-to-end experience like your on-premises SAN. Free Up Your Developers With Built-In Services. Horizontal vs vertical scaling. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same sentence. There are tons of articles about Scalability and Elasticity. Two types of scaling vertical and horizontal. Organizations don’t have to spend weeks or months overhauling their as they would with on-premise solutions. Please review the exam skills outline below to see what changed. Scaling can be performed on a schedule, or based on a runtime metric, such as CPU or memory usage. You should see the following page: Step 2 – Click on the Auto Horizontal Scaling button in left pane, you should see the triggers for your environment in the right-side. Elasticity is also referred to cloud elasticity or elastic computing. For example, if you’re hosting your website in the cloud, the cloud provider can dynamically adjust the resources available to your. In this article. Home; Blog; Contact Us; Terms & Conditions; Home; Blog; Contact Us; Terms & ConditionsThis is the same figure for Azure blob storage and Google cloud storage. Other expenses such as storage and. Microsoft Learn is an important part of my AZ-900 exam study guide. To decide between scale. AWS and Azure cloud services have many different instance sizes, so vertical scaling in cloud computing is possible for everything from EC2 instances to RDS databases. A recent study from Cockroach Labs compared AWS vs Azure vs GCP CPU performance across a range of single-core and 16-core VMs. While scalability and elasticity are closely related, they differ primarily in their focus and approach. While scalability vs elasticity needs to be considered, there are some similarities that need to be highlighted too. Scheduled vs. It automates the process of adjusting resource capacity to handle workload fluctuations. Cloud scalability and cloud elasticity are two of these terms, seemingly similar but having significant differences. Since companies pay for only what they need and use, there is no waste on capacity. 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. #Azure #AZ900 #AzureFundamentalsAzure Fundamentals Exam Concepts series is a conceptual Learning content that will help every individual who is preparing for. You may want to investigate golden Amazon Machine. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. AWS vs. In most cases, this is handled by scaling up (vertical scaling) and/or scaling out (horizontal scaling). Elasticity is the capability for a cloud-based program to require more or fewer resources, to put it simply. Elasticity: Elasticity goes hand in hand with scalability. IBM Turbonomic eliminates the guesswork and continuously automates actions in real-time, delivering efficient use of resources to your applications at every layer of the stack, at a rate that exceeds human scale, saving you and your team both time and money. And this includes the new fully managed Elastic SAN service in Azure to share storage across your workloads in the network, giving you a first-time alternative to running your SAN on-premises. Azure Managed Lustre Azure Managed Lustre is a fully managed, cloud based parallel file. As with all Azure Functions running in the Consumption and Elastic Premium plans, Durable Functions supports auto-scale via the Azure Functions scale controller. You can scale computer processing, memory, and storage capacity in cloud computing to match changing demands. SQL Server for an application. Both cloud elasticity and cloud scalability are part of a larger concern about system adaptability, i. 3 Benefits of Cloud Scalability and Elasticity. We will be focusing on some of the more. Scale-out. This results in an automated and elastic behavior that helps to reduce management. ago. While both scalability and elasticity are critical in cloud computing, they serve different purposes. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. When a hardware resource runs out and can no longer handle requests, it is counted as the limit of scalability. The IOPS of an Elastic SAN increases by 5,000 per base TiB. 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. "Elastic Security's maintenance is hard and its scalability is a challenge. 2. There are complications in scaling and upgrading. Cloud-scale analytics addresses scaling challenges by using two core concepts: Using data landing zones for scaling. Azure SQL Database enables you to easily change resources (CPU power, memory, IO throughput, and storage) allocated to your databases. Elasticity vs. It is a long-term event that is used to deal with an expected growth in demand. Cloud Elasticity. Scalability. Traffic Manager is a DNS-based traffic load balancer that enables you to distribute traffic optimally to services across global Azure regions, while providing high availability and responsiveness. ". Unlike on-premises scaling, which necessitates the procurement of extra hardware, resources in the Azure cloud environment may simply be scaled up and down based on the needs of the customer. Scale sets on another hand, in concept,. There are two ways that cloud services can adjust to your changing needs — scalability and elasticity. AWS uses elastic cloud computing (EC2) to address scalability. Since cloud infrastructure does not involve “racking and stacking” servers and is […]The time-efficient benefit of cloud scalability also means faster time to market, more business flexibility, and adaptability, as adding new resources does not take as much time as it used to. Cloud scalability, on the other hand, manages the. Updated results are available at Azure Functions Get More Scalable and Elastic. 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. Cloud Elasticity can also refer to the ability to grow or shrink the resources. Adding or Removing Resources. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. The quicker a cloud provider can allocate varying resources to dynamic customer demands, the more elastic its cloud services are. Scalability vs Elasticity Scalability means to increase from 5 to 50 instances. Unlike reserved instances or your own server hardware "in the basement" the cloud provider offer both the resources and the managment tools to let you use varying amounts of compute, network ,. For more information, see the articles for how to enable the Azure diagnostics extension on a Linux VM or. Therefore restaurants rarely exceed their seating capacity. AWS, Azure, and GCP Emerge. Performance is validated by testing the scalability and the reliability of hardware, software and network. Gain access to an end-to-end experience like your on-premises SAN. There are 9 main types of scalability in cloud computing: 1. AWS offers the Auto Scaling service that allows you to easily scale up, down or out your computing resources depending on your changing business requirements. Advantages of a private cloud: More flexibility —your organization can customize its cloud environment to meet specific business needs. If you need to support a wide range of programming languages and frameworks, Azure App Service is a good choice. These tools and features let you use the database resources of Azure SQL Database to create solutions for transactional workloads, and especially Software as a Service (SaaS) applications. Collecting performance data is the process of gathering metrics and logs that provide information about the performance of a workload. A cluster is the core infrastructure element in both these data warehouses. Learn more about the differences between cloud scalability and cloud elasticity, the. The elastic Data Map automatically scales up and down the capacity units within the elasticity window based on consumption. {"matched_rule":{"source":"/blog(([/?]. Private cloud is a type of cloud computing that delivers similar advantages to public cloud, including scalability and self-service, but through a proprietary architecture. As part of the AZ-900: Azure Fundamentals exam, you are expected to understand the term high availability. Furthermore, because private clouds are hosted on private networks that are not open to public traffic, they can provide a higher level of security and privacy. Cloud Scalability vs Cloud Elasticity. The objective is to measure various performance metrics like response times, throughput, scalability, and resource utilization to understand the cluster’s. One of the best articles that I found online is this one published by Chunting Wu: 🔗 Scalability vs. Scalability is always used to address the increase in workload in an organization. Elasticity is a dynamic property for cloud computing. IaaS, or infrastructure as a service, is on-demand access to cloud-hosted physical and virtual servers, storage and networking - the backend IT infrastructure for running. By Mario Szpuszta | September 2015. Vendors define availability as a given number of "nines" like in Table 1, which also describes the number of minutes or seconds of estimated downtime in relation to the number of minutes in a 365. • High Availability vs Scalability (vertical and horizontal) vs Elasticity vs Agility in the Cloud. The key point to understand about High Elasticity is that it is Automatic. Iterate on implementation and testing until you can meet requirements. They depict essential characteristics like self-service access and easy extensibility offered by these corresponding platforms. Scalability is one of the most important characteristics of platform as a service (PaaS) that enables you to dynamically add more resources to your service when needed. AWS: Amazon Simple Storage Service offers high scalability, extensive documentation, and high-end community support. Automatic Scaling. The challenge is that resource needs can change often and quickly. 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. Costs and. Business Critical. Azure App Service offers seamless integration with other Azure services and provides built-in scalability, security, and compliance features. Elasticity is to reduce 50 instances to 5. Scalability, on the other hand, refers to a system’s, network’s, or process’s ability to handle increasing amounts of work or to be expanded in a. 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. You are part of the Azure Network Management team who must make these updates. You need cloud scalability to meet customer demand. Using data products or data integrations for scaling, in order to make distributed and decentralized data ownership possible. Cloud storage. When you need to migrate or create a Microsoft SQL Server project to Azure, there are three different options: Generally, the Azure SQL options help reduce complexity while the SQL Server option increases control. Azure Virtual Machine Scale sets is the great tool which does all of these automatically with no extra cost for you. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. Native firewalling capabilities with built-in high availability, unrestricted cloud scalability, and zero maintenance. Azure NetApp Files gives you a combination of built-in high availability, RAID technologies, nondisruptive operations, Snapshot copies, cloud synchronization, and. Cloud elasticity means the resources available to you change on-demand. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same. That is where Azure’s dynamic scalability and elasticity can solve both dilemmas and do it at an affordable price. 01%. Built on top of our distributed storage platform, you can scale up to millions of IOPS and double-digit GB/s throughput, all while maintaining latency in the low milliseconds. " which indicating scalability can reduce to normal after serve te pick load. Vertical scaling, also known as scaling up, is the process of increasing the capacity of a single server by adding more resources such as CPU, memory, or storage. Emerging approaches for managing elasticity include the use of machine learning techniques to propose efficient elasticity models. Discover more here. Conclusion. This ensures optimal. There are two types of elasticity as shown in Fig. When it comes to availability and reliability, both AWS and Azure prioritize delivering a robust and dependable cloud infrastructure. In this article. The key point to understand about High Elasticity is that it is Automatic. Also, how elasticity is reliant on the scalabili See full list on spiceworks. Cloud scalability vs Cloud elasticity. You need cloud availability to ensure that customers can access your cloud services whenever they need to and from anywhere in the world. Cloud computing has many business applications in 2021. Gain higher resiliency and minimize downtime with rapid provisioning. Compare Azure vs. The scale unit design of the workload is the basis of the scaling. Both approaches increase capacity of an existing storage infrastructure. Lets learn more about Scale sets in this article. Scaling-Down: Reducing Compute Power (CPU or RAM) to support the decreased workload. 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. 1: horizon- tal and vertical. Horizontal elasticity consists in adding or removing. Public cloud providers such as Amazon Web Services (AWS) and Google Cloud support rapid elasticity. Cloud Elasticity vs. 9 against Elasticsearch’s score of 8. Though adjacent in scope and seemingly identical, cloud scalability and cloud elasticity are not the same. Will using Elastic Pool be the better choice than Single database with 1 instance? It looks like the cost for 2 databases using Elastic Pool (1 for DEV & 1 for PROD) will be the same as the cost for Single database with 1 instance. 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. This is especially true for high-growth companies where what worked for the infrastructure last month, very well may not be enough horsepower to meet demand this month. GCP came out on top in the single-core category, with performance 10% higher than AWS, with Azure coming in last. We can increase the Scalability of the instance in 2 ways: Vertical Scalability means increasing the size of the instance. Many fantastic scaling options are available in Azure, including: Scaling up and down Horizontal Vs. This article provides an overview of Azure SQL Database, a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as. Scalability and elasticity are. Elasticity is the capability for a cloud-based program to require more or fewer resources, to put it simply. Conclusion Of Cloud Elasticity In Cloud Scalability. the “application level”), whereas “cloud elasticity” relates to infrastructure as a whole (i. AWS Lambda has elastic scalability already built in: the service executes your code only when needed and scales automatically, from a few requests per day to thousands per second. Cloud scalability in cloud computing is the ability to scale up or scale down cloud resources as needed to meet demand. A business that experiences variable and unpredictable workloads might seek an elastic solution in the public cloud. Elasticity vs. Data-bound applications can take advantage of the Elastic Scale APIs when accessing sharded databases. The real difference between scalability and elasticity lies in how dynamic the adaptation. Scaling out databases can be easily accomplished using scalable tools and features for Azure SQL Database. One of the greatest advantages of cloud computing is the expansive storage capabilities. One of the great features of Azure service is its ability to auto scale according to the demands of the application usage. Cloud Scalability vs. Standard logic apps which were hosted on (WS1,WS2,WS3) plan support elastic scale out which is similar to elastic premium in functions and supports event driven scaling. Event-driven computing saves IT admins' time and helps application scalability, compared to managing traditional cloud infrastructure.