Kubernetes scheduler

GPTKB entity

Statements (59)
Predicate Object
gptkbp:instanceOf river
gptkbp:can_be jobs
cron jobs
pod placement
replica sets
stateful applications
daemon sets
gptkbp:compatibleWith container runtimes
gptkbp:deployedTo various cloud providers
gptkbp:documentedIn Kubernetes_official_documentation
gptkbp:enforces security policies
gptkbp:engineConfiguration high throughput
config maps
multi-cluster setups
scheduling profiles
gptkbp:ensures resource availability
application availability
https://www.w3.org/2000/01/rdf-schema#label Kubernetes scheduler
gptkbp:impact custom schedulers
gptkbp:influenced network policies
node conditions
resource quotas
resource requests and limits
pod disruption budgets
gptkbp:interactsWith gptkb:kubelet
gptkbp:is_designed_to application performance
high availability
gptkbp:is_essential_for Kubernetes orchestration
gptkbp:is_integrated_with CI/CD pipelines
service meshes
gptkbp:is_monitored_by gptkb:Prometheus
metrics server
gptkbp:is_part_of Kubernetes control plane
Kubernetes_architecture
Kubernetes_networking
Kubernetes_ecosystem
Kubernetes_deployment_strategies
Kubernetes_resource_management.
gptkbp:is_recognized_for Go programming language
gptkbp:is_used_in cloud-native applications
microservices
unit tests
taints and tolerations
Helm_charts
gptkbp:isFacilitatedBy multi-tenant environments
node failures
gptkbp:isUsedFor scheduler plugins
gptkbp:judgingCriteria nodes for pods
gptkbp:manages pod scheduling
gptkbp:performance resource utilization
gptkbp:provides scheduling policies
gptkbp:responsibleFor load balancing pods
placing pods on nodes
pod affinity rules
pod_lifecycle_management
gptkbp:supports affinity and anti-affinity rules
multiple scheduling algorithms
gptkbp:uses predicates and priorities
gptkbp:works_with Kubernetes API server