Cyfuture Cloud offers autoscaling powered by VMware through NSX Advanced Load Balancer which leverages an elastic fabric architecture that allows SEs and application servers to scaled-up and down on-demand as per load and capacity requirements.
When it comes to the public cloud ecosystems that offer elastic autoscaling capabilities for workloads, NSX Advanced Load Balancer uses these capabilities and even manages their behavior based on the metrics collected by NSX Advanced Load Balancer as a result.
With Cyfuture Cloud, you can experience the following scaling features
By using NSX Advanced Load Balancer policies, both types of scaling can be done automatically.
It supports the above-mentioned autoscaling features in all ecosystems.
SEs are capable of processing a maximum amount of traffic and are usually measured by the traffic throughput or SSL transactions per second of a SE. This SE capacity is a function of a variety of factors, such as the size of the SE VM (number of cores or memory), the type of traffic, and the ecosystem within which the SE is running.
Virtual services are typically placed on a single SE in the default configuration of a system. It is possible, however, to scale out the virtual service to other SEs in the event that the SE alone is not enough to handle the traffic for the virtual service. As a result, the traffic of the virtual service is handled by more than one SE at the same time.
Virtual services that need to be scaled out or scaled in can either be done manually or automatically.
If you wish to configure thresholds beyond which a virtual service should be scaled out to a new SE, or scaled back into fewer SEs, then one of these SE parameters can be used to configure the thresholds beyond which a virtual service should be scaled into a new SE:
CPU utilization of the SE
Bandwidth, in Mbps, being served by the SE
Connections per second (CPS) being served by the SE
Packets per second (PPS)
As part of the virtual service load balancing, it is equally important to ensure that enough capacity is available at the application instance tier to handle traffic loads in conjunction with virtual service load balancing.
In light of the fact that public cloud infrastructure is charged based on usage or uptime, it is important to have enough capacity based on usage, as well as the flexibility to scale resources on demand.
Autoscaling is a feature provided by public clouds. It is possible to create virtual machines and configure them based on the templates for autoscaling servers. A scale-out or scale-in can be done either manually or based on a certain set of load conditions that are present at the time.
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