k8shorizmetrics
is a library that provides the internal workings of the Kubernetes Horizontal Pod Autoscaler (HPA)
wrapped up in a simple API. The project allows querying metrics just as the HPA does, and also running the calculations
to work out the target replica count that the HPA does.
go get -u github.com/jthomperoo/k8shorizmetrics/v4@v4.0.0
- Simple API, based directly on the code from the HPA, but detangled for ease of use.
- Dependent only on versioned and public Kubernetes Golang modules, allows easy install without replace directives.
- Splits the HPA into two parts, metric gathering and evaluation, only use what you need.
- Allows insights into how the HPA makes decisions.
- Supports scaling to and from 0.
The following is a simple program that can run inside a Kubernetes cluster that gets the CPU resource metrics for
pods with the label run: php-apache
.
package main
import (
"log"
"time"
"github.com/jthomperoo/k8shorizmetrics/v4"
"github.com/jthomperoo/k8shorizmetrics/v4/metricsclient"
"github.com/jthomperoo/k8shorizmetrics/v4/podsclient"
"k8s.io/api/autoscaling/v2"
corev1 "k8s.io/api/core/v1"
"k8s.io/apimachinery/pkg/labels"
"k8s.io/client-go/kubernetes"
"k8s.io/client-go/rest"
)
func main() {
// Kubernetes API setup
clusterConfig, _ := rest.InClusterConfig()
clientset, _ := kubernetes.NewForConfig(clusterConfig)
// Metrics and pods clients setup
metricsclient := metricsclient.NewClient(clusterConfig, clientset.Discovery())
podsclient := &podsclient.OnDemandPodLister{Clientset: clientset}
// HPA configuration options
cpuInitializationPeriod := time.Duration(300) * time.Second
initialReadinessDelay := time.Duration(30) * time.Second
// Setup gatherer
gather := k8shorizmetrics.NewGatherer(metricsclient, podsclient, cpuInitializationPeriod, initialReadinessDelay)
// Target resource values
namespace := "default"
podSelector := labels.SelectorFromSet(labels.Set{
"run": "php-apache",
})
// Metric spec to gather, CPU resource utilization
spec := v2.MetricSpec{
Type: v2.ResourceMetricSourceType,
Resource: &v2.ResourceMetricSource{
Name: corev1.ResourceCPU,
Target: v2.MetricTarget{
Type: v2.UtilizationMetricType,
},
},
}
metric, _ := gather.GatherSingleMetric(spec, namespace, podSelector)
for pod, podmetric := range metric.Resource.PodMetricsInfo {
actualCPU := podmetric.Value
requestedCPU := metric.Resource.Requests[pod]
log.Printf("Pod: %s, CPU usage: %dm (%0.2f%% of requested)\n", pod, actualCPU, float64(actualCPU)/float64(requestedCPU)*100.0)
}
}
See the Go doc.
This section explains how to migrate between versions of the library.
There are two changes you need to make to migrate from v1
to v2
:
- Switch from using
k8s.io/api/autoscaling/v2beta2
tok8s.io/api/autoscaling/v2
. - Switch from using
github.com/jthomperoo/k8shorizmetrics
togithub.com/jthomperoo/k8shorizmetrics/v2
.
The breaking changes introduced by v3
are:
- Gather now returns the
GathererMultiMetricError
error type if any of the metrics fail to gather. This error is returned for partial errors, meaning some metrics gathered successfully and others did not. If this partial error occurs theGathererMultiMetricError
error will have thePartial
property set totrue
. This can be checked for usingerrors.As
. - Evaluate now returns the
EvaluatorMultiMetricError
error type if any of the metrics fail to evaluate. This error is returned for partial errors, meaning some metrics evaluted successfully and others did not. If this partial error occurs theEvaluatorMultiMetricError
error will have thePartial
property set totrue
. This can be checked for usingerrors.As
.
To update to v3
you will need to update all references in your code that refer to
github.com/jthomperoo/k8shorizmetrics/v2
to use github.com/jthomperoo/k8shorizmetrics/v3
.
If you want the behaviour to stay the same and to swallow partial errors you can use code like this:
metrics, err := gather.Gather(specs, namespace, podMatchSelector)
if err != nil {
gatherErr := &k8shorizmetrics.GathererMultiMetricError{}
if !errors.As(err, &gatherErr) {
log.Fatal(err)
}
if !gatherErr.Partial {
log.Fatal(err)
}
// Not a partial error, just continue as normal
}
You can use similar code for the Evaluate
method of the Evaluater
.
To update to v4
you will need to update all references in your code that refer to
github.com/jthomperoo/k8shorizmetrics/v3
to use github.com/jthomperoo/k8shorizmetrics/v4
.
The only behaviour change is around serialisation into JSON. Fields are now serialised using camel case rather than snake case to match the Kubernetes conventions.
If you are relying on JSON serialised values you need to use camel case now. For example the Resource Metric field
PodMetricsInfo
is now serialised as podMetricsInfo
ratherthan pod_metrics_info
.
See the examples directory for some examples, cpuprint is a good start.
See the contribution guidelines and code of conduct.