Autoscaling is a technique used in cloud computing to allocate resources. With autoscaling, the number of active servers or virtual machines varies automatically according to demand.
Autoscaling enables organizations to automate schedule-based and load-based scaling by managing resources on demand.
Explore additional autoscaling topics:
Autoscaling offers several advantages to organizations of all sizes because it eliminates the need for manually adding or reducing instances to accommodate fluctuating demand. It enables organizations to achieve reliable performance at lower cost by automating tasks such as increasing or decreasing computing or memory resources and managing traffic spikes.
Before autoscaling, an organization’s CPU, memory, and network capacity were set and did not have the capacity to expand to meet higher demand, leaving resources unused in the case of over-provisioning. Autoscaling saves electricity costs and resources, allowing servers to be inactive in times of low load. This is useful for companies running their own web server infrastructure.
Autoscaling also lowers cloud costs because most cloud providers use a pay-as-you-use system. It allows you to prioritize workloads, allocating less sensitive workloads to machines available during low traffic times. Because autoscaling offers flexible resource allocation, companies with variable workloads can achieve more consistent uptime and availability.
Finally, some autoscaling tools also keep the environment constant by detecting and replacing unhealthy instances.
Autoscaling is a core component of today’s cloud deployments. You can offload processing power to a new server automatically, according to set conditions determined by IT administrators. There are several components that you can autoscale. For example, central processing units (CPU), memory, or bandwidth.
This technology is also used to ensure service availability. For instance, an e-commerce site may set resources they assume will be enough to handle normal traffic. But if there is a surge in traffic, such as on Black Friday, the resources may not be enough, and the system may crash. Autoscaling accounts for those cases, ensuring the site is available to meet customer demand.
Common features included in autoscaling solutions are:
Common features included in autoscaling solutions are:
Elastic load balancing and autoscaling are often confused because they are similar technologies. Both manage the traffic load among servers, assigning resources according to need. While many solutions include autoscaling features in their load balancers, they are used for different applications.
Autoscaling enables you to define the criteria by which the system will manage the number of instances and server resources for on-peak and off-peak traffic. An elastic load balancer, on the other hand, distributes the traffic, directing the data requests according to the health of the instance.
The solutions that combine both technologies allow you to define the autoscaling policies that will direct how the load balancer distributes the load among instances.
There are several benefits of implementing an autoscaling solution compared to having a static instance that you need to scale manually:
There are three main types of autoscaling:
There are also two main ways of autoscaling—horizontally and vertically.
It’s important to note that the method of scaling can vary according to the components you want to scale; databases may need a different approach than bandwidth, for example.
There are several applications for autoscaling technology, but it is most suitable for applications with variability in usage and demand. Autoscaling also simplifies cloud deployments, as it adjusts the resources as needed. It is especially helpful in hybrid environments because it enables seamless bursting to the cloud.
You can also use autoscaling to automate the response of different groups of resources to different levels of demand. By setting policies and requirements in advance, you take the burden of allocating resources away from administrators. Once properly configured, the system will manage the resources according to your preferences.
Citrix Autoscale is a feature exclusive to Citrix desktops. It optimizes the capacity of hybrid environments, enabling you to prioritize resource utilization. For instance, from the cloud console, you can set primary and secondary zones so the system will use the on-premises resources and expand to the cloud as secondary resources are required.
Autoscale provides the flexibility to scale up or down according to the method that suits you best. You can execute load-based scaling, schedule-based scaling, or combine both. Additionally, you can identify which machines are in drain state, thus prioritizing other machines that are close to full use.
Autoscale is a feature of Citrix DaaS (formerly Citrix Virtual Apps and Desktops service) that provides a way to manage your virtual machines across hybrid environments. As a versatile management tool, it allows you to reduce operational expenses while managing different cloud cases. You can effectively save cloud costs by delivering the resources only when they are needed. This ensures a better user experience by preventing downtimes and availability problems.
Citrix’s solution combines the advantages of autoscaling with load balancing algorithms. By enabling vertical load balancing, it allocates workloads into machines running closer to capacity first, therefore maximizing capacity usage.
Autoscale with Citrix DaaS helps your organization maximize the full capacity of your cloud while enhancing the user experience and improving efficiency and availability. Learn more about Autoscale with Citrix DaaS by contacting a Citrix representative.