Case Study
Large Retailer Enables Predictive Autoscaling To Meet Holiday Traffic
c06.18 CUSTOMER STORY Large Retailer Enables Predictive Autoscaling To Meet Holiday Traffic Reduces OPEX by >30% by Eliminating Capacity Overprovisioning • Disproportionate increase in opex due to capacity overprovisioning for peak usage • Inability to autoscale due to zero visibility into app traffic resulting in app outages • Inability to rollout applications faster PROBLEM • Ability to predictively autoscale without requiring to overprovision • Programmable infrastructure for dev/test teams to enable self- service and faster app rollout • Deep insights into application performance and traffic WHY AVI • Eliminated static overprovisioning of server capacity, reducing server opex by 30% • Increased application development efficiency by 25% • Guaranteed business SLAs and prevented “miss