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Often, as a developer or administrator(ops) I want some insights about pipeline behavior in terms of time taken to execute pipleinerun/taskrun, its success or failure ratio, pod latencies etc. At present tekton pipelines has very limited ways to surface such information or it's hard to get those details looking at resources yamls. This patch exposes above mentioned pipelines metrics on '/metrics' endpoint using knative `pkg/metrics` package. User can collect such metrics using prometheus, stackdriver or other supported metrics system. To some extent its solves - #540 - #164
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/* | ||
Copyright 2019 The Tekton Authors | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
*/ | ||
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package pipelinerun | ||
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import ( | ||
"context" | ||
"errors" | ||
"fmt" | ||
"time" | ||
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"github.com/tektoncd/pipeline/pkg/apis/pipeline/v1alpha1" | ||
listers "github.com/tektoncd/pipeline/pkg/client/listers/pipeline/v1alpha1" | ||
"go.opencensus.io/stats" | ||
"go.opencensus.io/stats/view" | ||
"go.opencensus.io/tag" | ||
corev1 "k8s.io/api/core/v1" | ||
"k8s.io/apimachinery/pkg/labels" | ||
"knative.dev/pkg/metrics" | ||
) | ||
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var ( | ||
prDuration = stats.Float64( | ||
"pipelinerun_duration_seconds", | ||
"The pipelinerun execution time in seconds", | ||
stats.UnitDimensionless) | ||
prDistributions = view.Distribution(10, 30, 60, 300, 900, 1800, 3600, 5400, 10800, 21600, 43200, 86400) | ||
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prCount = stats.Float64("pipelinerun_count", | ||
"number of pipelineruns", | ||
stats.UnitDimensionless) | ||
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runningPRsCount = stats.Float64("running_pipelineruns_count", | ||
"Number of pipelineruns executing currently", | ||
stats.UnitDimensionless) | ||
) | ||
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type Recorder struct { | ||
initialized bool | ||
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pipeline tag.Key | ||
pipelineRun tag.Key | ||
namespace tag.Key | ||
status tag.Key | ||
} | ||
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// NewRecorder creates a new metrics recorder instance | ||
// to log the PipelineRun related metrics | ||
func NewRecorder() (*Recorder, error) { | ||
r := &Recorder{ | ||
initialized: true, | ||
} | ||
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pipeline, err := tag.NewKey("pipeline") | ||
if err != nil { | ||
return nil, err | ||
} | ||
r.pipeline = pipeline | ||
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pipelineRun, err := tag.NewKey("pipelinerun") | ||
if err != nil { | ||
return nil, err | ||
} | ||
r.pipelineRun = pipelineRun | ||
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namespace, err := tag.NewKey("namespace") | ||
if err != nil { | ||
return nil, err | ||
} | ||
r.namespace = namespace | ||
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status, err := tag.NewKey("status") | ||
if err != nil { | ||
return nil, err | ||
} | ||
r.status = status | ||
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err = view.Register( | ||
&view.View{ | ||
Description: prDuration.Description(), | ||
Measure: prDuration, | ||
Aggregation: prDistributions, | ||
TagKeys: []tag.Key{r.pipeline, r.pipelineRun, r.namespace, r.status}, | ||
}, | ||
&view.View{ | ||
Description: prCount.Description(), | ||
Measure: prCount, | ||
Aggregation: view.Count(), | ||
TagKeys: []tag.Key{r.status}, | ||
}, | ||
&view.View{ | ||
Description: runningPRsCount.Description(), | ||
Measure: runningPRsCount, | ||
Aggregation: view.LastValue(), | ||
}, | ||
) | ||
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if err != nil { | ||
r.initialized = false | ||
return r, err | ||
} | ||
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return r, nil | ||
} | ||
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// DurationAndCount logs the duration of PipelineRun execution and | ||
// count for number of PipelineRuns succeed or failed | ||
// returns an error if its failed to log the metrics | ||
func (r *Recorder) DurationAndCount(pr *v1alpha1.PipelineRun) error { | ||
if !r.initialized { | ||
return fmt.Errorf("ignoring the metrics recording for %s , failed to initialize the metrics recorder", pr.Name) | ||
} | ||
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duration := time.Since(pr.Status.StartTime.Time) | ||
if pr.Status.CompletionTime != nil { | ||
duration = pr.Status.CompletionTime.Sub(pr.Status.StartTime.Time) | ||
} | ||
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status := "success" | ||
if pr.Status.Conditions[0].Status == corev1.ConditionFalse { | ||
status = "failed" | ||
} | ||
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ctx, err := tag.New( | ||
context.Background(), | ||
tag.Insert(r.pipeline, pr.Spec.PipelineRef.Name), | ||
tag.Insert(r.pipelineRun, pr.Name), | ||
tag.Insert(r.namespace, pr.Namespace), | ||
tag.Insert(r.status, status), | ||
) | ||
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if err != nil { | ||
return err | ||
} | ||
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metrics.Record(ctx, prDuration.M(float64(duration/time.Second))) | ||
metrics.Record(ctx, prCount.M(1)) | ||
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return nil | ||
} | ||
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// RunningPipelineRuns logs the number of PipelineRuns running right now | ||
// returns an error if its failed to log the metrics | ||
func (r *Recorder) RunningPipelineRuns(lister listers.PipelineRunLister) error { | ||
if !r.initialized { | ||
return errors.New("ignoring the metrics recording, failed to initialize the metrics recorder") | ||
} | ||
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prs, err := lister.List(labels.Everything()) | ||
if err != nil { | ||
return fmt.Errorf("failed to list pipelineruns while generating metrics : %v", err) | ||
} | ||
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var runningPRs int | ||
for _, pr := range prs { | ||
if !pr.IsDone() { | ||
runningPRs++ | ||
} | ||
} | ||
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ctx, err := tag.New(context.Background()) | ||
if err != nil { | ||
return err | ||
} | ||
metrics.Record(ctx, runningPRsCount.M(float64(runningPRs))) | ||
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return nil | ||
} |
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