autoscaling
Demand-driven capacity
Autoscaling is a cloud computing feature that automatically adjusts computational resources based on demand.
When traffic spikes, the system adds servers or capacity; when demand drops, it scales back down.
This keeps applications responsive during peak loads while avoiding waste during quiet periods: We enabled autoscaling so the site wouldn't crash during the product launch.
Atmospheric water vapor mass
- serversMachines providing network resources
- elasticityTendency to resume original form
- provisioningSupplying resources in advance
- orchestrationScoring for instrumental ensemble
virtualization · serverless · infrastructure · containers · microservices · instances · clusters · nodes
Assigned task volume
- capacityMaximum amount containable
- throughputProcessing rate over time
- concurrencyOverlapping execution of tasks
- trafficMovement along routes
burst · spikes · requests · throttling · latency · availability · uptime
Adopted courses of action
- thresholdsEntry boundaries or limits
- metricsStandards for assessment
- triggersCauses or activates
- rulesPrinciples governing behavior
monitoring · alerts · cooldown · configuration · self-healing · adjustment
Maximizing efficiency or performance
- pay-per-useCharged by consumption
- underutilizationInsufficient use of resources
- billingCharging for services rendered
- consumptionUsing up of resources
cloud
Atmospheric water vapor mass
- serversMachines providing network resources
- elasticityTendency to resume original form
- provisioningSupplying resources in advance
orchestration · virtualization · serverless · infrastructure · containers · microservices · instances · clusters · nodes · replicas
workload
Assigned task volume
- capacityMaximum amount containable
- throughputProcessing rate over time
- concurrencyOverlapping execution of tasks
traffic · burst · spikes · requests · throttling · latency · availability · uptime
policies
Adopted courses of action
- thresholdsEntry boundaries or limits
- metricsStandards for assessment
- triggersCauses or activates
rules · monitoring · alerts · cooldown · configuration · self-healing · adjustment
optimization
Maximizing efficiency or performance
- pay-per-useCharged by consumption
- underutilizationInsufficient use of resources
- billingCharging for services rendered
consumption · ROI · budget