config

Documentation

Index

• Constants
• func GetKubeClientConfig(uri *url.URL) (*kube_rest.Config, error)
• type AutoscalingOptions
• type GpuLimits

Constants

const (
	// DefaultMaxClusterCores is the default maximum number of cores in the cluster.
	DefaultMaxClusterCores = 5000 * 64
	// DefaultMaxClusterMemory is the default maximum number of gigabytes of memory in cluster.
	DefaultMaxClusterMemory = 5000 * 64 * 20
)

Functions

func GetKubeClientConfig

func GetKubeClientConfig(uri *url.URL) (*kube_rest.Config, error)

GetKubeClientConfig returns rest client configuration based on the passed url.

Types

type AutoscalingOptions

type AutoscalingOptions struct {
	// MaxEmptyBulkDelete is a number of empty nodes that can be removed at the same time.
	MaxEmptyBulkDelete int
	// ScaleDownUtilizationThreshold sets threshold for nodes to be considered for scale down.
	// Well-utilized nodes are not touched.
	ScaleDownUtilizationThreshold float64
	// ScaleDownUnneededTime sets the duration CA expects a node to be unneeded/eligible for removal
	// before scaling down the node.
	ScaleDownUnneededTime time.Duration
	// ScaleDownUnreadyTime represents how long an unready node should be unneeded before it is eligible for scale down
	ScaleDownUnreadyTime time.Duration
	// MaxNodesTotal sets the maximum number of nodes in the whole cluster
	MaxNodesTotal int
	// MaxCoresTotal sets the maximum number of cores in the whole cluster
	MaxCoresTotal int64
	// MinCoresTotal sets the minimum number of cores in the whole cluster
	MinCoresTotal int64
	// MaxMemoryTotal sets the maximum memory (in bytes) in the whole cluster
	MaxMemoryTotal int64
	// MinMemoryTotal sets the maximum memory (in bytes) in the whole cluster
	MinMemoryTotal int64
	// GpuTotal is a list of strings with configuration of min/max limits for different GPUs.
	GpuTotal []GpuLimits
	// NodeGroupAutoDiscovery represents one or more definition(s) of node group auto-discovery
	NodeGroupAutoDiscovery []string
	// EstimatorName is the estimator used to estimate the number of needed nodes in scale up.
	EstimatorName string
	// ExpanderName sets the type of node group expander to be used in scale up
	ExpanderName string
	// MaxGracefulTerminationSec is maximum number of seconds scale down waits for pods to terminate before
	// removing the node from cloud provider.
	MaxGracefulTerminationSec int
	//  Maximum time CA waits for node to be provisioned
	MaxNodeProvisionTime time.Duration
	// MaxTotalUnreadyPercentage is the maximum percentage of unready nodes after which CA halts operations
	MaxTotalUnreadyPercentage float64
	// OkTotalUnreadyCount is the number of allowed unready nodes, irrespective of max-total-unready-percentage
	OkTotalUnreadyCount int
	// CloudConfig is the path to the cloud provider configuration file. Empty string for no configuration file.
	CloudConfig string
	// CloudProviderName sets the type of the cloud provider CA is about to run in. Allowed values: gce, aws
	CloudProviderName string
	// NodeGroups is the list of node groups a.k.a autoscaling targets
	NodeGroups []string
	// ScaleDownEnabled is used to allow CA to scale down the cluster
	ScaleDownEnabled bool
	// ScaleDownDelayAfterAdd sets the duration from the last scale up to the time when CA starts to check scale down options
	ScaleDownDelayAfterAdd time.Duration
	// ScaleDownDelayAfterDelete sets the duration between scale down attempts if scale down removes one or more nodes
	ScaleDownDelayAfterDelete time.Duration
	// ScaleDownDelayAfterFailure sets the duration before the next scale down attempt if scale down results in an error
	ScaleDownDelayAfterFailure time.Duration
	// ScaleDownNonEmptyCandidatesCount is the maximum number of non empty nodes
	// considered at once as candidates for scale down.
	ScaleDownNonEmptyCandidatesCount int
	// ScaleDownCandidatesPoolRatio is a ratio of nodes that are considered
	// as additional non empty candidates for scale down when some candidates from
	// previous iteration are no longer valid.
	ScaleDownCandidatesPoolRatio float64
	// ScaleDownCandidatesPoolMinCount is the minimum number of nodes that are
	// considered as additional non empty candidates for scale down when some
	// candidates from previous iteration are no longer valid.
	// The formula to calculate additional candidates number is following:
	// max(#nodes * ScaleDownCandidatesPoolRatio, ScaleDownCandidatesPoolMinCount)
	ScaleDownCandidatesPoolMinCount int
	// WriteStatusConfigMap tells if the status information should be written to a ConfigMap
	WriteStatusConfigMap bool
	// BalanceSimilarNodeGroups enables logic that identifies node groups with similar machines and tries to balance node count between them.
	BalanceSimilarNodeGroups bool
	// ConfigNamespace is the namespace cluster-autoscaler is running in and all related configmaps live in
	ConfigNamespace string
	// ClusterName if available
	ClusterName string
	// NodeAutoprovisioningEnabled tells whether the node auto-provisioning is enabled for this cluster.
	NodeAutoprovisioningEnabled bool
	// MaxAutoprovisionedNodeGroupCount is the maximum number of autoprovisioned groups in the cluster.
	MaxAutoprovisionedNodeGroupCount int
	// UnremovableNodeRecheckTimeout is the timeout before we check again a node that couldn't be removed before
	UnremovableNodeRecheckTimeout time.Duration
	// Pods with priority below cutoff are expendable. They can be killed without any consideration during scale down and they don't cause scale-up.
	// Pods with null priority (PodPriority disabled) are non-expendable.
	ExpendablePodsPriorityCutoff int
	// Regional tells whether the cluster is regional.
	Regional bool
	// Pods newer than this will not be considered as unschedulable for scale-up.
	NewPodScaleUpDelay time.Duration
}

AutoscalingOptions contain various options to customize how autoscaling works

type GpuLimits

type GpuLimits struct {
	// Type of the GPU (e.g. nvidia-tesla-k80)
	GpuType string
	// Lower bound on number of GPUs of given type in cluster
	Min int64
	// Upper bound on number of GPUs of given type in cluster
	Max int64
}

GpuLimits define lower and upper bound on GPU instances of given type in cluster