Vertical Pod Autoscaling

GPTKB entity

Properties (50)
Predicate Object
gptkbp:instanceOf river
gptkbp:adaptation memory requests
CPU_requests
gptkbp:appliesTo deployment objects
gptkbp:benefits microservices architecture
stateful applications
gptkbp:can_be gptkb:Cluster_Autoscaler
development environments
gptkbp:compatibleWith Kubernetes_version_1.18_and_above
gptkbp:controls resource overprovisioning
setting specific annotations
gptkbp:designedFor automatically adjusting resource requests
gptkbp:documentedIn Kubernetes_official_documentation
gptkbp:engineConfiguration resource limits
send alerts
ignore certain pods
gptkbp:features Kubernetes_1.21_and_later
gptkbp:hasLength vertical scaling of pods
https://www.w3.org/2000/01/rdf-schema#label Vertical Pod Autoscaling
gptkbp:impact pod disruption budgets
node resource availability
gptkbp:improves resource utilization
gptkbp:influenced application performance metrics
historical resource usage data
gptkbp:is_a_time_for resource_management_in_Kubernetes
gptkbp:is_designed_to reduce manual intervention
automate resource allocation
gptkbp:is_integrated_with CI/CD pipelines
monitoring tools
Custom Resource Definitions (CRDs)
gptkbp:is_monitored_by gptkb:Kubernetes_dashboard
gptkbp:is_part_of Kubernetes_ecosystem
Kubernetes_autoscaling_solutions
Kubernetes_scaling_strategies
gptkbp:is_supported_by Kubernetes API
Kubernetes controller
gptkbp:is_used_in production environments
improve application responsiveness
optimize cost efficiency
scale applications dynamically
DevOps_teams
gptkbp:isUsedFor gptkb:Horizontal_Pod_Autoscaler
gptkbp:maintainedBy Kubernetes_community
gptkbp:monitors memory usage
CPU_usage
gptkbp:provides recommendations for resource requests
gptkbp:requires metrics server
RBAC_permissions
gptkbp:supports multiple container types
gptkbp:worksWith Kubernetes clusters