Elasticity Does Not Equal Scalability

Monday, November 23rd 2020.

Organizations with sudden or cyclical changes will most often need elastic capabilities in at least some areas. This architecture is based on a principle called tuple-spaced processing — multiple parallel processors with shared memory. This architecture maximizes both scalability and elasticity at an application and database level.

To scale vertically , you add or subtract power to an existing virtual server by upgrading memory , storage or processing power . This means that the scaling has an upper limit based on the capacity of the server or machine being scaled; scaling beyond that often requires downtime. In a complex cloud environment, things are bound to go wrong from time to time. Third-party cloud providers also have all the vast hardware and software resources already in place to allow for rapid scaling that an individual business could not achieve cost-effectively on its own. Data storage capacity, processing power, and networking can all be increased by using existing cloud computing infrastructure. Scaling can be done quickly and easily, usually without any disruption or downtime.

difference between scalability and elasticity

Though how a business achieves scalability depends on your cloud model. When a business grows and needs more resources, cloud scalability enables a rapid response. Cloud computing delivers on-demand services and resources to businesses. With more businesses migrating to cloud computing, scalability within that architecture is key. This article looks into what cloud computing scalability is and why it’s important for your company.

Scalability And Elasticity: What You Need To Take Your Business To The Cloud

Elastic scalability enables better availability by ensuring that there is sufficient capacity to handle traffic demand changes. But it also provides improved cost management by only scaling as necessary and adding new features when needed. Elasticity is the ability of a system to manage available resources based on the current workload requirements. Scalability refers to the system’s ability to scale and handle increased needs while still maintaining performance.

difference between scalability and elasticity

To scale horizontally , you add more resources like virtual machines to your system to spread out the workload across them. Horizontal scaling is especially important for companies that need high availability services with a requirement for minimal downtime. Basically, cloud resources automatically scale horizontally, vertically, or diagonally to meet your business needs.

Usually, that means configuring a failover system with the ability to handle the same workloads as the primary system. With none of these initial outlays, there won’t be expensive upgrades either. There are savings in terms of IT staff, power, and cooling, too. Scalability is a part of solution design; elasticity is an action.

Cloud elasticity enables software as a service vendors to offer flexible cloud pricing plans, creating further convenience for your enterprise. Scalability in the cloud refers to adding or subtracting resources as needed to meet workload demand, while being bound by capacity limits within the provisioned servers hosting the cloud. Scalability is the ability of a system to remain responsive as the number of users and traffic gradually increases over time. Therefore, it is long-term growth that is strategically planned. Most B2B and B2C applications that gain usage will require this to ensure reliability, high performance and uptime. This could mean vertical scaling , as well as horizontal scaling .

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These could be VMs, or perhaps additional container pods that get deployed. The idea being that the user accessing the website, comes in via a load balancer which chooses the web server they connect to. When we have increased demand, we can deploy more web servers . When demand subsides, we can reduce the amount of web servers . The benefits here are that we don’t need to make changes to the virtual hardware on each machine, but rather add and remove capacity from the load balancer itself.

  • Application developers can often use this information to get right to the code where a problem is happening, dramatically reducing the time needed for troubleshooting.
  • 😉 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.
  • I’ve been reading some explanations but can’t really quite get it.
  • Moving on, this idea of cloud scalability is often confused with elasticity, but in reality, they’re two completely different aspects.
  • If you plan carefully, you can often avoid an application problem when a network problem occurs.

Some cloud services are considered adaptable solutions where both scalability and elasticity are offered. They allow IT departments to expand or contract their resources and services based on their needs while also offer pay-as-you-grow to scale for performance and resource needs to meet SLAs. Incorporation of both of these capabilities is an important consideration for IT managers whose infrastructures are constantly changing. Do not fall into the sales confusion of services where cloud elasticity and scalability are presented as the same service by public cloud providers. Cloud elasticity allows you to match the number of resources allocated with the number of resources needed at any given time.

Cloud Elasticity Vs Cloud Scalability

Achieving cloud elasticity means you don’t have to meticulously plan resource capacities or spend time engineering within the cloud environment to account for upscaling or downscaling. Most monolithic applications use a monolithic database — one of the most expensive cloud resources. Cloud costs grow exponentially with scale, and this arrangement is expensive, especially regarding maintenance time for development and operations engineers. Let’s take a simple healthcare application – which applies to many other industries, too – to see how it can be developed across different architectures and how that impacts scalability and elasticity.

To provide scalability the framework’s capacity is designed with some extra room to handle any surges in demand that might occur. One such aspect is the cloud’s elastic and scalable capabilities, that have risen to form one of the most important features of cloud services. To put it simply, these two features are responsible for the way your website handles traffic and its possible surges.

These organizations need to be built on the proper infrastructure that provides them with the scalability and elasticity they require today and in the future. This then refers to adding/removing resources to/from an difference between scalability and elasticity existing infrastructure to boost/reduce its performance under a changing workload. Scaling out or in refers to expanding/shrinking an existing infrastructure’s resources by adding new/removing existing components.

difference between scalability and elasticity

Elasticity is important because you want to ensure that your clients and employees have access to the right amount of resources as needed. Elasticity in the cloud allows you to adapt to your workload needs quickly. If they underestimate, they don’t have the services and resources necessary to operate effectively. With cloud scaling, though, businesses get the capacity they need when they need it, and they simply pay based on usage.

What Is The Difference Between Elasticity And Scalability In Cloud

Scalability and elasticity are often confused, but they are distinct attributes of a data center or cloud environment. Scalability generally refers to more predictable infrastructure expansions. If a particular application gains users, the servers devoted to it can be scaled up or scaled out. When you have true cloud elasticity, you can avoid underprovisioning and overprovisioning. Moreover, the efficiency you’re able to achieve in everyday cloud operations helps stabilize costs.

We’ll cover that in more detail when we discuss fault tolerance later in this chapter. EBS Volumes are the hard disk drive volumes that can be attached to EC2 instances. A single General Purpose EBS volume can scale to 16TB and 10,000 IOPS. A Provisioned IOPS EBS volume can scale to 16TB and 64,000 IOPS. Application Load Balancer – best suited for load balancing of HTTP and HTTPS traffic. They do have some default limits set, some of which can be raised on request.

Consider a situation where you are hosting an application in the cloud that tracks sales data for your company. If your sales staff regularly enter information on daily sales calls at the end of the day, you might need additional computing resources to handle that load. Those same resources aren’t needed during the day when the sales staff is making sales calls and not using the application. Cloud providers invest heavily in battery-operated power backup and other redundant systems in order to prevent availability problems caused by power outages. In a situation where a large geographic area is impacted by a power outage, cloud providers offer you the ability to run your application from another region that isn’t impacted.

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Well, you get diagonal scaling, which allows you to experience the most efficient infrastructure scaling. When you combine vertical and horizontal, you simply grow within your existing server until you hit the capacity. Then, you can clone that server as necessary and continue the process, allowing you to deal with a lot of requests and traffic concurrently.

Cloud Services Considerations

Horizontal scaling may require you to rewrite code, which can add complexity. Worldwide distribution – if you plan to have national or global customers, it is unreasonable to expect them to access your services from one location. Less complex network – when a single instance handles all the layers of your services, it will not have to synchronize and communicate with other machines to work. The main benefit of the scalable architecture is performance and the ability to handle bursts of traffic or heavy loads with little or no notice. The idea is to make your products, services, and tools available to your customers and employees at any time from anywhere using any device with an internet connection. Factors like these measure the reliability of your cloud offerings.

In general, though, understand what scalability means for your organization, so you can make the most of it. However, diagonal scaling is expensive and complex to implement. This is why companies prefer either vertical or horizontal scaling most times unless you have a compelling reason to go with diagonal scaling. Your business needs often determine which scaling type you choose for your company. Let’s talk about each type in more detail now, starting with vertical scaling. Cloud scalability creates a level playing field for all businesses, regardless of their size.

Increases in data sources, user requests and concurrency, and complexity of analytics demand cloud elasticity, and also require a data analytics platform that’s just as capable of flexibility. Before blindly scaling out cloud resources, which increases cost, you can use Teradata Vantage for dynamic workload management to ensure critical requests get critical resources to meet demand. Leveraging effortless cloud elasticity alongside Vantage’s effective workload management will give you the best of both and provide an efficient, cost-effective solution. All of the modern major public cloud providers, including AWS, Google Cloud, and Microsoft Azure, offer elasticity as a key value proposition of their services. Typically, it’s something that occurs automatically and in real time, so it’s often called rapid elasticity.

Hannover Re runs their next generation, automated underwriting solutions with hr | ReFlex, an innovative app that combines point of sale and risk assessment systems. The system handles over a decade of data that integrates data from hundreds of offices. To support its growing user base and multi-platform distribution, the BBC built its iPlayer TV-streaming service using MarkLogic.

In all, cloud scalability is the process of increasing or decreasing resources to meet your business needs. Many benefits come with scalability like reduced costs, improved performance, and a greater ability to leverage opportunities. Other than time and effort, cloud scalability can also help save costs, as you don’t need any upfront capital expenses.

As cloud elasticity allows resources to be built out dynamically, this is a common feature of pay-per-use or pay-as-you-go services. It can be a more affordable option for startups as the business is not paying for more IT infrastructure than it needs to begin. Or, in another scenario, elasticity can prove valuable to an organization that has spikes in demand such as an e-retailer handling seasonal sales or Black Friday shoppers.

The ability to scale up and scale down is related to how your system responds to the changing requirements. Elastically in the context of cloud computing, it is required that the scaling of the system is quick, and it means the variable demands that the system exhibit. Diagonal scale is a more flexible solution that combines adding and removing resources according to the current workload requirements. Scalability is one of the prominent features of cloud computing.

To stay away from such consequences, conduct extensive research to understand the right fit for your business. Well, this really depends on your budget, how much of your infrastructure is in the cloud, the nature of your business requirements, etc. But regardless of which type of scaling you choose, I’m here to help you. In the next section, I’ll share some tips and tricks on how you can leverage cloud scalability for your organization. • Better cost management – elastic scaling can adjust the capacity as needed. Money is saved by only paying for instances that are used when they are needed.

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