metrics

package
v1.16.15-rc.0 Latest Latest
Warning

This package is not in the latest version of its module.

 Go to latest Published: Aug 13, 2020 License: Apache-2.0 Imports: 6 Imported by: 130

Documentation

Index

Constants

View Source 
const (
	// SchedulerSubsystem - subsystem name used by scheduler
	SchedulerSubsystem = "scheduler"
	// SchedulingLatencyName - scheduler latency metric name
	SchedulingLatencyName = "scheduling_duration_seconds"
	// DeprecatedSchedulingLatencyName - scheduler latency metric name which is deprecated
	DeprecatedSchedulingLatencyName = "scheduling_latency_seconds"

	// OperationLabel - operation label name
	OperationLabel = "operation"

	// PredicateEvaluation - predicate evaluation operation label value
	PredicateEvaluation = "predicate_evaluation"
	// PriorityEvaluation - priority evaluation operation label value
	PriorityEvaluation = "priority_evaluation"
	// PreemptionEvaluation - preemption evaluation operation label value (occurs in case of scheduling fitError).
	PreemptionEvaluation = "preemption_evaluation"
	// Binding - binding operation label value
	Binding = "binding"
)

Variables

View Source 
var (

	// PodScheduleSuccesses counts how many pods were scheduled.
	// This metric will be initialized again in Register() to assure the metric is not no-op metric.
	PodScheduleSuccesses = scheduleAttempts.With(prometheus.Labels{"result": "scheduled"})
	// PodScheduleFailures counts how many pods could not be scheduled.
	// This metric will be initialized again in Register() to assure the metric is not no-op metric.
	PodScheduleFailures = scheduleAttempts.With(prometheus.Labels{"result": "unschedulable"})
	// PodScheduleErrors counts how many pods could not be scheduled due to a scheduler error.
	// This metric will be initialized again in Register() to assure the metric is not no-op metric.
	PodScheduleErrors = scheduleAttempts.With(prometheus.Labels{"result": "error"})
	SchedulingLatency = metrics.NewSummaryVec(
		&metrics.SummaryOpts{
			Subsystem: SchedulerSubsystem,
			Name:      SchedulingLatencyName,
			Help:      "Scheduling latency in seconds split by sub-parts of the scheduling operation",

			MaxAge:         5 * time.Hour,
			StabilityLevel: metrics.ALPHA,
		},
		[]string{OperationLabel},
	)
	DeprecatedSchedulingLatency = metrics.NewSummaryVec(
		&metrics.SummaryOpts{
			Subsystem: SchedulerSubsystem,
			Name:      DeprecatedSchedulingLatencyName,
			Help:      "(Deprecated) Scheduling latency in seconds split by sub-parts of the scheduling operation",

			MaxAge:         5 * time.Hour,
			StabilityLevel: metrics.ALPHA,
		},
		[]string{OperationLabel},
	)
	E2eSchedulingLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "e2e_scheduling_duration_seconds",
			Help:           "E2e scheduling latency in seconds (scheduling algorithm + binding)",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedE2eSchedulingLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "e2e_scheduling_latency_microseconds",
			Help:           "(Deprecated) E2e scheduling latency in microseconds (scheduling algorithm + binding)",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	SchedulingAlgorithmLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_duration_seconds",
			Help:           "Scheduling algorithm latency in seconds",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedSchedulingAlgorithmLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_latency_microseconds",
			Help:           "(Deprecated) Scheduling algorithm latency in microseconds",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	SchedulingAlgorithmPredicateEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_predicate_evaluation_seconds",
			Help:           "Scheduling algorithm predicate evaluation duration in seconds",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedSchedulingAlgorithmPredicateEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_predicate_evaluation",
			Help:           "(Deprecated) Scheduling algorithm predicate evaluation duration in microseconds",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	SchedulingAlgorithmPriorityEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_priority_evaluation_seconds",
			Help:           "Scheduling algorithm priority evaluation duration in seconds",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedSchedulingAlgorithmPriorityEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_priority_evaluation",
			Help:           "(Deprecated) Scheduling algorithm priority evaluation duration in microseconds",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	SchedulingAlgorithmPremptionEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_preemption_evaluation_seconds",
			Help:           "Scheduling algorithm preemption evaluation duration in seconds",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedSchedulingAlgorithmPremptionEvaluationDuration = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_algorithm_preemption_evaluation",
			Help:           "(Deprecated) Scheduling algorithm preemption evaluation duration in microseconds",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	BindingLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "binding_duration_seconds",
			Help:           "Binding latency in seconds",
			Buckets:        prometheus.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	DeprecatedBindingLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "binding_latency_microseconds",
			Help:           "(Deprecated) Binding latency in microseconds",
			Buckets:        prometheus.ExponentialBuckets(1000, 2, 15),
			StabilityLevel: metrics.ALPHA,
		},
	)
	PreemptionVictims = metrics.NewGauge(
		&metrics.GaugeOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "pod_preemption_victims",
			Help:           "Number of selected preemption victims",
			StabilityLevel: metrics.ALPHA,
		})
	PreemptionAttempts = metrics.NewCounter(
		&metrics.CounterOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "total_preemption_attempts",
			Help:           "Total preemption attempts in the cluster till now",
			StabilityLevel: metrics.ALPHA,
		})
)

All the histogram based metrics have 1ms as size for the smallest bucket.

Functions

func ActivePods added in v1.15.0 

func ActivePods() metrics.GaugeMetric

ActivePods returns the pending pods metrics with the label active

func BackoffPods added in v1.15.0 

func BackoffPods() metrics.GaugeMetric

BackoffPods returns the pending pods metrics with the label backoff

func Register 

func Register()

Register all metrics.

func Reset added in v1.11.0 

func Reset()

Reset resets metrics

func SinceInMicroseconds 

func SinceInMicroseconds(start time.Time) float64

SinceInMicroseconds gets the time since the specified start in microseconds.

func SinceInSeconds added in v1.11.0 

func SinceInSeconds(start time.Time) float64

SinceInSeconds gets the time since the specified start in seconds.

func UnschedulablePods added in v1.15.0 

func UnschedulablePods() metrics.GaugeMetric

UnschedulablePods returns the pending pods metrics with the label unschedulable

Types

type MetricRecorder added in v1.15.0 

type MetricRecorder interface {
	Inc()
	Dec()
	Clear()
}

MetricRecorder represents a metric recorder which takes action when the metric Inc(), Dec() and Clear()

type PendingPodsRecorder added in v1.15.0 

type PendingPodsRecorder struct {
	// contains filtered or unexported fields
}

PendingPodsRecorder is an implementation of MetricRecorder

func NewActivePodsRecorder added in v1.15.0 

func NewActivePodsRecorder() *PendingPodsRecorder

NewActivePodsRecorder returns ActivePods in a Prometheus metric fashion

func NewBackoffPodsRecorder added in v1.15.0 

func NewBackoffPodsRecorder() *PendingPodsRecorder

NewBackoffPodsRecorder returns BackoffPods in a Prometheus metric fashion

func NewUnschedulablePodsRecorder added in v1.15.0 

func NewUnschedulablePodsRecorder() *PendingPodsRecorder

NewUnschedulablePodsRecorder returns UnschedulablePods in a Prometheus metric fashion

func (*PendingPodsRecorder) Clear added in v1.15.0 

func (r *PendingPodsRecorder) Clear()

Clear set a metric counter to 0, in an atomic way

func (*PendingPodsRecorder) Dec added in v1.15.0 

func (r *PendingPodsRecorder) Dec()

Dec decreases a metric counter by 1, in an atomic way

func (*PendingPodsRecorder) Inc added in v1.15.0 

func (r *PendingPodsRecorder) Inc()

Inc increases a metric counter by 1, in an atomic way

Source Files

View all Source files

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL
go.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.