Data-bound applications can take advantage of the Elastic Scale APIs when accessing sharded databases. 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. 5 for . I was recently helping at a Azure Fundamentals exam training day and the concepts of elasticity and scalability came up. We don't have any separate documentation for autoscaling in standard logic and azure functions, you can refer to this documentation for more information on autoscale. Applies to this Azure Well-Architected Framework Performance Efficiency checklist recommendation: PE:03. Cloud Scalability vs. 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. 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). Context. On the other. By Mario Szpuszta | September 2015. Businesses are turning to the cloud in increasing numbers to take advantage of increased speed, agility, stability, and security. Scaling out vs. The best way to minimize cost is to use only the resources necessary for your purposes. Question # 17 (Sentence Completion) Select the answer that correctly completes the sentence. Thanks to scalability, you won't have to worry about peak engineering or capacity planning. 次に、弾力性はシステムの現在のワークロードで機能し、いくつかのスケーリングプロセスを実行して、たとえば、時間. But thanks to Azure SQL Hyperscale elasticity and quick scalability this can be done using an Azure Function, with minimal service interruption, especially if following the best practices and implementing correct connection retry logic. Differences Between Scalability and Elasticity Last updated: June 13, 2023 Written by: Vinicius Fulber-Garcia OS Cloud Computing Virtualization 1. With Microsoft’s Windows Azure Platform, you only pay for the time and. Elasticity is the ability to automatically or dynamically increase or decrease the resources as needed. In general usage, “cloud scalability” relates to the server space and resources used per online service or business application (i. . The cloud service provider is responsible for ensuring elasticity in all three service models, infrastructure as a service, platform as a service, and software as a service. I am using Azure Functions on the App Service Plan. Traditional on-premises Modern cloud; Monolithic Designed for predictable scalability Relational database Synchronized processing Design to avoid failures (MTBF) Occasional large updates Manual management Snowflake servers: Decomposed Designed for elastic scale Polyglot persistence (mix of storage technologies) Asynchronous. Azure Elastic SAN Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. Since companies pay for only what they need and use, there is no waste on capacity. Employees can access files using web-enabled devices such as smartphones, laptops and notebooks. Get. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. This allows you to handle sudden spikes in traffic or increased workload with ease. Also, we'll see how it involves adding or removing resources, using monitoring tools, and using elastic services. 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. 2,000,000. website design case study examples. Therefore, it is long-term growth that is strategically planned. NET application in Azure Kubernetes Services as a 3 pod cluster (1 pod per node). Azure Vs. In VMware, HA works by creating a pool of virtual machines and associated resources within a cluster. The arrival and evolution of event-driven computing change the administrator's role in application scalability. Fourteen percent of TPOs reported scalability of management solutions as the key challenge for managing IT Operations,. 10 Answers. Today, I want to shed some light on three crucial concepts that often get mixed up in the world of technology and business: scalability, elasticity, and agility. Scalability means to increase from 5 to 50 instances. PE:05 Optimize scaling and partitioning. Azure Data Explorer is a cloud-based, fully managed, big data analytics platform offered as part of the Microsoft Azure platform. The term "Scalability or Elasticity" refers to the ability to increase. In system design, there are two single words are confusing, which are scalability and elasticity. Cloud agility is a term used frequently to describe. 99% probability that the system will be online. So if you had an Elastic SAN that has 6 TiB of base capacity, that SAN could still provide up to 30,000 IOPS. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. #Azure #AZ900 #AzureFundamentalsAzure Fundamentals Exam Concepts series is a conceptual Learning content that will help every individual who is preparing for. #Azure #AZ900 #AzureFundamentalsAzure Fundamentals Exam Concepts series is a conceptual Learning content that will help every individual who is preparing for. Test elasticity both up and down, ensuring it will meet requirements for load variance. Cloud Scalability vs Elasticity While cloud scalability and elasticity both deal with the cloud, they have some distinct differences. Here are some relevant Microsoft Learn modules and learning paths for the AZ-900 Microsoft Azure Fundamentals Certification Exam. Features and Functionality of Microsoft Azure Cloud Scalability. 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. What are Azure Blueprints? Blueprints, in the traditional sense, are used by architects and engineers to design and build new things. This guide describes the recommendations for scaling and partitioning a workload. Cloud Scalability. The number of resources is up or down as needed. These features make scalability and elasticity a viable instrument for the company to hold its ground, grow steadily, and gain a competitive advantage. Iterate on implementation and testing until you can meet requirements. 5 GB of memory and one. The Azure Monitor service incorporates two components that used to be offered separately in the Operations Management Suite (OMS) — Log Analytics and Application Insights. Cloud scalability is a feature of cloud computing, particularly in the context of public clouds, that enables them to be elastic. . Autoscaling takes advantage of the elasticity of cloud-hosted environments while easing management overhead. Cloud elasticity vs. Oct 24, 2011. OUTLINE • SCALABILITY Achieving linear scale Scale Up vs. 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. 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. ""There is an area of improvement in the Logs list. Test elasticity both up and down, ensuring it will meet requirements for load variance. Each instance of the Functions host in the Consumption plan is limited, typically to 1. Amazon Redshift and Azure Synapse take the first approach where you need to provision a cluster of nodes. DIFFERENCE BETWEEN ELASTICITY AND SCALABILITY. This data includes numerical values, which are known as metrics. Photo by Daniele Franchi on Unsplash. The key point to understand about High Elasticity is that it is Automatic. AWS Vs. Simply put, elasticity adapts to both the increase and decrease in workload by provisioning and de. Scalability Elasticity is used to match the resources that have been allocated with the actual resource amounts required at a given instance. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. Explore our collection of articles to gain insights into topics like cost optimization. Updated on Aug 11, 2023 Scalability and elasticity are the most misunderstood concepts in cloud computing. You may want to investigate golden Amazon Machine. 2 Understand scalability, elasticity, and agility Get full access to Exam AZ-900: Microsoft Azure Fundamentals (Video), 2nd Edition and 60K+ other titles, with a free 10-day trial of O'Reilly. EC2 users can construct their virtual machines (VMs), choose the number of VMs they need, and change the power, size, and memory of. Framing • Survey paper • Identifies necessary qualities of cloud storage • Scalability • Sensible consistency / programming model • Scale-down and migration • Autonomic management • Pointers to different work in the space. ". Scalability vs Elasticity. Cloud Scalability vs. The term "Scalability or Elasticity" refers to the ability to increase. One of the key benefits of cloud elasticity is the ability to quickly add or remove resources as needed. Implement elasticity using AWS Auto Scaling or Application Auto Scaling for the aspects of your service that are not elastic by design. All you need to do to get started is to tell Azure how many virtual machines you want. 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. Scalability in the cloud allows businesses to focus on growing their operations, instead of worrying about their IT infrastructure. Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node. Downtime. Azure elastic pool [21] are examples of elastic Platform. Scaling Out. Geo-distribution D. Vertical Scaling. You are part of the Azure Network Management team who must make these updates. Typically controlled by system monitoring tools, elastic computing matches the. Resource pooling. 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. High availability . An elastic system automatically adapts to match resources with demand as closely as possible, in real time. Elastic Database split-merge tool that moves data between sharded databases. The scale unit design of the workload is the basis of the scaling. 53 2. Scalability C. There are complications in scaling and upgrading. scaling up. In the Consumption and Premium plans, Azure Functions scales CPU and memory resources by adding more instances of the Functions host. It provides. Azure Database for PostgreSQL is a relational database service in the Microsoft cloud based on the PostgreSQL open source relational database. Cloud elasticity vs. Automatic Scaling. Sep 5, 2022. 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. Azure Elastic SAN is a cloud-native service that offers a scalable, cost-effective, high-performance, and comprehensive storage solution for a range of compute options. Azure Search is ranked 6th in Search as a Service with 3 reviews while Elastic Search is ranked 1st in Search as a Service with 21 reviews. 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. Azure Managed Lustre Azure Managed Lustre is a fully managed, cloud based parallel file. That’s the theory. Here, Azure Disk Storage provides a comprehensive spectrum of block storage options for any workload, regardless of performance needs. Vertical Scaling or Scale Up/Downon December 13, 2022, 6:35 AM PST. Azure Container Storage Manage persistent volumes for stateful container applications. Max IOPS. Microsoft Learn is an important part of my AZ-900 exam study guide. There are three service tier choices in the vCore purchasing model for Azure SQL Database: General Purpose. Cloud computing allows your employees to be more flexible – both in and out of the workplace. It reduces the need for an operator to continually. Related articles: AWS VS AZURE VS GOOGLE: CLOUD COMPARISON. DOWNLOAD NOW. Cloud elasticity means the resources available to you change on-demand. Three basic ways to scale in a cloud environment include. It is an ongoing process and not an end result. Learn about the two main types of cloud scalability, Scale Up and Scale Out, in our latest blog. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. Scale-up vs. The Scale Controller monitors how long messages and tasks have to wait before they are processed. Scalability handles the increase and decrease of resources according to the system's workload. References: Explore key cloud concepts Elasticity vs. Cloud Scalability vs. In fact, Scalability take advantage of predictability principle, and you have do to it in a manual way, by using your insights. For instance, here you may match Azure Search’s overall score of 9. 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. Both approaches increase capacity of an existing storage infrastructure. AWS: Amazon Simple Storage Service offers high scalability, extensive documentation, and high-end community support. 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. Therefore, it is long-term growth that is strategically planned. In system design, there are two single words are confusing, which are scalability and elasticity. Elasticsearch. That same SAN would still provide 30,000 IOPS whether it had 50 TiB of additional capacity or 500 TiB of additional capacity, since the SAN's performance is only. As the throughput and storage requirements of an application increase, Azure Cosmos DB moves logical partitions to automatically spread. They are sometimes referred to as cloud service models or cloud computing service models. AWS cloud migration with IBM Turbonomic . Benefits. I hope this helps clarify the difference between Agility and Elasticity in Azure cloud services for you. Azure Elastic SAN Elastic SAN is a cloud-native storage area network (SAN) service built on Azure. Sep 5, 2022. Multiple Workspaces: Quickly spin up 1000’s of new workspaces as needed in the same account with the right access and security policies applied. Classic load balancer works as the basic load balancer for multiple Amazon EC2 instances. Scalability. There are two types of scalability: Vertical: scale up or down: Add or remove resources: CPU. If you need more scalability options, Amazon Elastic Beanstalk is a good choice. Scalability and elasticity have similarities, but important distinctions exist. The main difference is that Scale Sets have Identical VMs where in Availability Sets does not require them to be identical. When comparing 16-core VMs, AWS came out on top with the fastest iterations per second. calability V/S Elasticity - Overview | A Comprehensive Guide | Cloud Interview Questions | #AWS #Azure #GCPLink to the Blog: means that the elasticity is built on top of scalability. The key point to understand about High Elasticity is that it is Automatic. A scalable business can grow or shrink its output according to changes in demand without sacrificing quality or efficiency. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. In this lecture, you will learn about how cloud computing can e. Azure Firewall Manager. Azure Elastic SAN is a cloud-native service that offers a scalable, cost-effective, high-performance, and comprehensive storage solution for a range of compute options. But cloud elasticity and cloud scalability are still considered equal. However, AWS holds a slight advantage over Azure when it comes to storage. The process is referred to as rapid elasticity when it happens fast or in real-time. Broad network access. 😉 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. Vertical vs Horizontal Scaling. That is not to say that AWS is better by default because Microsoft is a known. 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 ,. Typically, this means organizations will decide between scale-up vs. Whereas Elasticity focuses on the ability to automatically scale resources based on demand. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. AWS Elastic Beanstalk is a fully managed service offered by Amazon Web Services (AWS). Elasticity is also referred to cloud elasticity or elastic computing. 4. We will be focusing on some of the more. 2K views 1 year ago Azure Free Course for beginner In this video I have explained elasticity and scalability and how they are different and how they are similar. 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. More scalability —private clouds often offer more scalability compared to on-premises infrastructure. An easy way to remember this is to think of a machine on a server rack, we add more machines across the horizontal. Elasticity rather reflects the condition of your system. If an application is able to either scale vertically or horizontally to adjust with an increase or decrease in demand, it is said to be a scalable application. resources from hour. Scalability. scaling up. Microsoft Defender for Cloud can be used for assessments, finding misconfigurations, and for guidelines to improve security with AKS. Scalability • Add more. --. Run compute intensive reports or analytics on a replicated copy of your on-premises asset in Azure without impacting. Although they’re often mentioned in the same breath and even used synonymously, cloud elasticity and cloud scalability aren’t quite the same thing. We would like to show you a description here but the site won’t allow us. Now, one thing to note when comparing cloud providers with regard to revenue is that their reporting groupings are not the same. In a database world, horizontal scaling is usually based on the partitioning of data (each node only contains part of the data). Elasticity in Cloud Computing. Iterate on implementation and testing until you can meet requirements. The scalability of your cyber range will dictate how much you can grow your training capacity, so you need to find the solution that will give you the right balance between going on-premises or cloud-based. Architecting for Reliable Scalability. You need cloud availability to ensure that customers can access your cloud services whenever they need to and from anywhere in the world. The key to cloud adaptability is the capacity to increase or decrease IT resources according to demand shifts. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. The first time you invoke your function, AWS Lambda creates an instance of the function and runs its handler method to process the event. 9 against Elasticsearch’s score of 8. This ensures optimal. 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. With VMSS scalability and elasticity is possible. Welcome to a 99-second-tutorial by Zighsys Technologies, on Scaling Versus Elasticity. 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. an on-premises solution: 1. Applies to: Azure SQL Database You can easily scale out databases in Azure SQL Database using the Elastic Database tools. Scalability is long-term planning and adopted just to deal with an expected increase/decrease in demand. Google Cloud. Elasticity. I am trying to understand how can i make my cluster elastic depending on load ?. . Elasticity: Elasticity goes hand in hand with scalability. GCP: 9 Key Differences That Make The Difference. There would be nothing shared between the multiple App Services that are spawned due to multiple. You can deploy a single data landing zone, or multiple ones. 1. The total price of Azure Elastic SAN depends on the base and capacity scale unit. One of the best articles that I found online is this one published by Chunting Wu: 🔗 Scalability vs. Document SQL API is Azure Cosmos DB's native API. Cloud scalability is utilised by big enterprises. “With simplified administration and governance, Databricks’ Unified Data Analytics Platform. Consider caching data to improve your workload performance. Native firewalling capabilities with built-in high availability, unrestricted cloud scalability, and zero maintenance. Whether you are planning a multicloud solution with Azure and AWS, or migrating to Azure, you can compare the IT capabilities of Azure and AWS services in all categories. Even if you’re using virtual machines, the underlying resources such as disk space, CPU, and memory cost money. scaling up. Gain higher resiliency and minimize downtime with rapid provisioning. In broad terms, vertical scaling, or scale-up, entails installing more powerful systems or. For example, if you’re hosting your website in the cloud, the cloud provider can dynamically adjust the resources available to your. Performance is validated by testing the scalability and the reliability of hardware, software and network. e. Enhance processing and storage. Microsoft Azure Elastic Storage provides high availability, scale-out capacity, data protection and redundancy for data. Microsoft Azure vs. 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. After cloud migration, a company's IT team can use self. An uptime of 99. The article wraps up the discussion with the. Scalability: Scalability is to scale out, up or down. 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. what is the difference between scalability and. Although these two phrases are frequently used synonymously, they are distinct from one another. High Availability. AWS and Azure provide cloud storage services that are different from each other in many ways. Lets learn more about Scale sets in this article. You may also examine their general user satisfaction: Azure Search (99%) vs. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. Object Storage uses Square Blobs and Files. Scaling out vs. But scaling resources is a complex matter that requires proper cloud capacity planning so you can serve your end users without overspending. Remember, elasticity. 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. The Cloud represents virtual, on-demand processing and storage services used for cost-effective and scalable infrastructure and operations, implementation of the DevOps toolchain, and development and hosting of AI applications. They are used to ensure that the final products are built to specifications and in compliance with certain standards and requirements. Scalability is the ability of a system to scale to support the desired workload. Cloud elasticity allows businesses to easily fit the resources required to cope up with loads dynamically usually in relation to scale out. GCP came out on top in the single-core category, with. the ability of a system to adapt to a changing. I've been trying to finding some hard. {"matched_rule":{"source":"/blog(([/\\?]. Home; Blog; Contact Us; Terms & Conditions; Home; Blog; Contact Us; Terms & ConditionsThis is the same figure for Azure blob storage and Google cloud storage. The restaurant increases and decreases its seating capacityCloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. What also matters is how you scale. Azure Cosmos DB is a fully managed NoSQL and relational database for modern app development with SLA-backed speed and availability, automatic and instant scalability, and support for open source PostgreSQL, MongoDB and Apache Cassandra. This results in an automated and elastic behavior that helps to reduce management. 1. The Pros of Cloud Elasticity. This growth can be either the organic growth of a solution or it could be related to a merger and. Scalability. They will scale out to ensure capacity during. Availability set, in concept, are for enhancing application availability in case one primary VM fails/needs update another VM from Fault/Update domain can be provisioned. Here we deep dive into vertical scaling vs horizontal scaling in the Azure cloud. Gain access to an end-to-end experience like your on-premises SAN. Azure Search is rated 6. It can. It’s been ten years after NIST clarified the difference between Elasticity vs. I interprete elasticity as the capability to react to more or less daily variation in resource needs. A cluster is the core infrastructure element in both these data warehouses. Costs and. 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. Azure Database for PostgreSQL delivers: Built-in high availability. As per microsoft doc (link:overview) "Services covered by Azure Autoscale can scale automatically to match demand to accommodate workload. The following shows the resources protected by Microsoft Defender. Azure Virtual Machine Scale sets is the great tool which does all of these automatically with no extra cost for you. 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. – Phone: You can also contact them at (888) 225-0080 for further assistance. The ability to simultaneously share documents and other files over the Internet can also help support both internal and external collaboration. " which indicating scalability can reduce to normal after serve te pick load. July 7, 2021 It’s been ten years after NIST clarified the difference between Elasticity vs. Conclusion. We can increase the Scalability of the instance in 2 ways: Vertical Scalability means increasing the size of the instance. There are two basic types of scalability in cloud computing: vertical and horizontal scaling. Remember that with elastic scale, the application will have periods of scale in, when instances get removed. Elasticity is also referred to cloud elasticity or elastic computing. For this reason, both terms seem to be used interchangeably. Cloud elasticity is sometimes confused with cloud scalability, often because they’re used interchangeably or talked about in the same sentence. enabling the. You don’t face a resource deficit. Scalability is concerned with expanding capacity to meet growing demands, whereas elasticity focuses on dynamically adjusting resources based on real-time demand fluctuations. GCP’s extreme pay-as-you-go packages for small-scale users tend to be slightly cost-effective than Amazon’s and Microsoft’s. Please refer to the Azure Storage replication page for more details on redundancy options. They are so similar that we don’t distinguish them correctly. If a cloud resource is scalable, then it enables stable system growth without impacting performance. scale-out architecture for storage. For example, AWS takes the prize for range of storage options, while Azure has more specialized solutions like their Data Lake that’s. AWS, Microsoft Azure, Google Cloud, or other providers can easily ramp up. They will scale out to ensure capacity during workload peaks and scaling will return to normal automatically when the peak drops. 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. While preparing for the AZ-900, you need to understand Cloud Concepts: Scalability and Elasticity. With CDI-Elastic, there’s no need to reserve resources or long-running VMs. Scale Out in Windows Azure Choosing VM Sizes • CACHING Approaches to caching Cache storage • ELASTICITY Scale out. When it comes to availability and reliability, both AWS and Azure prioritize delivering a robust and dependable cloud infrastructure. Here are some ares where Azure, AWS, and GCP have notable differences. Azure also provides elastic scalability, allowing you to scale resources up or down as needed. Additionally, the preview of Azure native integration with Elastic allows customers using Elastic services on Azure to access integrated billing, full technical. For that reason, it can't fail over as quickly as Azure. AWS boasts a vast global network of data centers, while Azure offers a well-distributed presence across the globe. Azure Virtual Machine Scale sets is the great tool which does all of these automatically with no extra cost for you. In summary, the users can conclude that these updates collectively enhance the efficiency, security, and scalability of Azure SQL Database Elastic Jobs, offering. It provides definitions, examples, and opinions from experts and users. This helps you to optimize your resources and reduce costs, while still ensuring that your applications have the resources they need to run smoothly. 01%. They are so similar that we don’t distinguish them correctly. The research shows that the amount of data that can be captured and processed is a significant differentiator between top performing organizations (TPOs) and all other organizations. 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. Changes in a company's operational demands frequently create a need for new IT services or to scale existing services. Data protection using automatic backups and point-in-time-restore for up to 35 days. One of the very powerful capabilities of cloud infrastructure is the seamless ability to provide scalability. Telemetry for the Web Apps feature of Azure App Service and Azure Cloud Services comes directly from the Azure infrastructure.