Statements (55)
Predicate | Object |
---|---|
gptkbp:instanceOf |
river
|
gptkbp:adaptation |
number of replicas
|
gptkbp:automated |
resource provisioning
|
gptkbp:availableSizes |
external metrics
queue length |
gptkbp:can_be |
resource requests
scale down events scale up events |
gptkbp:controls |
gptkb:Kubernetes_controller_manager
|
gptkbp:engineConfiguration |
custom metrics
|
gptkbp:ensures |
application performance
|
gptkbp:features |
Kubernetes
automatic scaling of pods. |
gptkbp:hasLength |
Kubernetes_pods
|
https://www.w3.org/2000/01/rdf-schema#label |
Horizontal Pod Autoscaler
|
gptkbp:impact |
resource limits
|
gptkbp:influenced |
load patterns
application demand |
gptkbp:introduced |
Kubernetes 1.2
|
gptkbp:is_a |
auto-scaling mechanism
|
gptkbp:is_a_key_component_of |
Kubernetes orchestration
|
gptkbp:is_a_time_for |
load balancing
horizontal scaling |
gptkbp:is_a_tool_for |
dynamic scaling
|
gptkbp:is_designed_to |
resource allocation
resource utilization system resilience deployments replica sets application availability daemon sets |
gptkbp:is_integrated_with |
CI/CD pipelines
YAML files |
gptkbp:is_monitored_by |
gptkb:Prometheus
|
gptkbp:is_part_of |
Kubernetes
Kubernetes_architecture Kubernetes_ecosystem Kubernetes_scaling_solutions |
gptkbp:is_recognized_for |
Kubernetes API
|
gptkbp:is_supported_by |
Kubernetes controller
|
gptkbp:is_used_in |
cloud-native applications
microservices stateful applications service level objectives |
gptkbp:isUsedFor |
gptkb:Vertical_Pod_Autoscaler
|
gptkbp:monitors |
memory utilization
CPU_utilization |
gptkbp:reduces |
operational costs
|
gptkbp:requires |
Kubernetes cluster
metrics server |
gptkbp:supports |
multiple scaling policies
|
gptkbp:usedFor |
traffic spikes
|
gptkbp:usedIn |
resource metrics
|
gptkbp:uses |
metrics_API
|
gptkbp:was_a_response_to |
custom events
|