mirror of https://github.com/k3s-io/k3s
Merge pull request #17373 from wojtek-t/adjust_api_call_limits
Auto commit by PR queue botpull/6/head
commit
3ec4a559f8
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@ -30,6 +30,8 @@ import (
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"time"
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client "k8s.io/kubernetes/pkg/client/unversioned"
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"k8s.io/kubernetes/pkg/fields"
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"k8s.io/kubernetes/pkg/labels"
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"k8s.io/kubernetes/pkg/util/sets"
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"github.com/prometheus/common/expfmt"
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@ -39,7 +41,9 @@ import (
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const (
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podStartupThreshold time.Duration = 5 * time.Second
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listPodLatencyThreshold time.Duration = 2 * time.Second
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apiCallLatencyThreshold time.Duration = 250 * time.Millisecond
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apiCallLatencySmallThreshold time.Duration = 250 * time.Millisecond
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apiCallLatencyMediumThreshold time.Duration = 500 * time.Millisecond
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apiCallLatencyLargeThreshold time.Duration = 1 * time.Second
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)
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// Dashboard metrics
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@ -136,9 +140,27 @@ func readLatencyMetrics(c *client.Client) (APIResponsiveness, error) {
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return a, err
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}
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// Returns threshold for API call depending on the size of the cluster.
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// In general our goal is 1s, but for smaller clusters, we want to enforce
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// smaller limits, to allow noticing regressions.
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func apiCallLatencyThreshold(numNodes int) time.Duration {
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if numNodes <= 250 {
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return apiCallLatencySmallThreshold
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}
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if numNodes <= 500 {
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return apiCallLatencyMediumThreshold
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}
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return apiCallLatencyLargeThreshold
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}
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// Prints top five summary metrics for request types with latency and returns
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// number of such request types above threshold.
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func HighLatencyRequests(c *client.Client) (int, error) {
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nodes, err := c.Nodes().List(labels.Everything(), fields.Everything())
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if err != nil {
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return 0, err
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}
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numNodes := len(nodes.Items)
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metrics, err := readLatencyMetrics(c)
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if err != nil {
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return 0, err
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@ -147,7 +169,7 @@ func HighLatencyRequests(c *client.Client) (int, error) {
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badMetrics := 0
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top := 5
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for _, metric := range metrics.APICalls {
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threshold := apiCallLatencyThreshold
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threshold := apiCallLatencyThreshold(numNodes)
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if metric.Verb == "LIST" && metric.Resource == "pods" {
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threshold = listPodLatencyThreshold
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}
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