Autoscaling

Traditional bricks and mortar processors or even those operating standard cloud implementations need to run a full time infrastructure capable of handling predicted peak transaction loads and which can therefore be significantly over capacity for the majority of business as usual processing requirements or risk failing to meet the predicted peak demand.

The CLOWD9 platform uses cloud technologies to autoscale on demand ensuring an optimized resource usage strategy. As a result:

• There is no danger of incorrectly predicting future peak demand and consequently undersizing the infrastructure and failing to service the peak
• The correct allocation of infrastructure resource is always available, there is no expensive or inefficient overcapacity during business as usual periods
• There is no manual effort associated with allocating or deallocating additional resource as demand varies

Employing Infrastructure as Code via Terraform scripts, and thanks to the size (approximately 8 megabytes) of images to be deployed, the addition of processing resources to increase the transaction processing capacity of the CLOWD9 platform happens in seconds.

CLOWD9 uses Grafana as the monitoring tool for the system’s processing bandwidth enabling the system to scale up preventively as transaction load is building up supporting processing spikes etc, and returning the system capacity as the transaction load is returning to normal levels.

The flexibility allows for optimal resource usage as well as supporting CLOWD9's ESG goals.