sort | weight | title | menu | aliases | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
1 |
QuickStart |
|
|
VictoriaMetrics Operator serves to make running VictoriaMetrics applications on top of Kubernetes as easy as possible while preserving Kubernetes-native configuration options.
The shortest way to deploy full-stack monitoring cluster with VictoriaMetrics Operator is to use Helm-chart victoria-metrics-k8s-stack.
Also you can follow the other steps in documentation to use VictoriaMetrics Operator:
- Setup
- Security
- Configuration
- Migration from Prometheus
- Monitoring
- Authorization and exposing components
- High Availability
- Enterprise
- Custom resources
- FAQ (Frequency Asked Questions)
But if you want to deploy VictoriaMetrics Operator quickly from scratch (without using templating for custom resources), you can follow this guide:
Let's start!
You can find out how to and instructions for installing the VictoriaMetrics operator into your kubernetes cluster on the Setup page.
Here we will elaborate on just one of the ways - for instance, we will install operator via Helm-chart victoria-metrics-operator:
Add repo with helm-chart:
helm repo add vm https://victoriametrics.github.io/helm-charts/
helm repo update
Render values.yaml
with default operator configuration:
helm show values vm/victoria-metrics-operator > values.yaml
Now you can configure operator - open rendered values.yaml
file in your text editor. For example:
code values.yaml
Now you can change configuration in values.yaml
. For more details about configuration options and methods,
see configuration -> victoria-metrics-operator.
If you migrated from prometheus-operator, you can read about prometheus-operator objects conversion on the migration from prometheus-operator.
Since we're looking at installing from scratch, let's disable prometheus-operator objects conversion,
and also let's set some resources for operator in values.yaml
:
# ...
operator:
# -- By default, operator converts prometheus-operator objects.
disable_prometheus_converter: true
# -- Resources for operator
resources:
limits:
cpu: 500m
memory: 500Mi
requests:
cpu: 100m
memory: 150Mi
# ...
You will need a kubernetes namespace to deploy the operator and VM components. Let's create it:
kubectl create namespace vm
After finishing with values.yaml
and creating namespace, you can test the installation with command:
helm install vmoperator vm/victoria-metrics-operator -f values.yaml -n vm --debug --dry-run
Where vm
is the namespace where you want to install operator.
If everything is ok, you can install operator with command:
helm install vmoperator vm/victoria-metrics-operator -f values.yaml -n vm
# NAME: vmoperator
# LAST DEPLOYED: Thu Sep 14 15:13:04 2023
# NAMESPACE: vm
# STATUS: deployed
# REVISION: 1
# TEST SUITE: None
# NOTES:
# victoria-metrics-operator has been installed. Check its status by running:
# kubectl --namespace vm get pods -l "app.kubernetes.io/instance=vmoperator"
#
# Get more information on https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-operator.
# See "Getting started guide for VM Operator" on https://docs.victoriametrics.com/guides/getting-started-with-vm-operator.html .
And check that operator is running:
kubectl get pods -n vm -l "app.kubernetes.io/instance=vmoperator"
# NAME READY STATUS RESTARTS AGE
# vmoperator-victoria-metrics-operator-7b88bd6df9-q9qwz 1/1 Running 0 98s
Now you can create instances of VictoriaMetrics applications.
Let's create fullstack monitoring cluster with
vmagent
,
vmauth
,
vmalert
,
vmalertmanager
,
vmcluster
(a component for deploying a cluster version of
VictoriaMetrics
consisting of vmstorage
, vmselect
and vminsert
):
More details about resources of VictoriaMetrics operator you can find on the resources page.
Let's start by deploying the vmcluster
resource.
Create file vmcluster.yaml
code vmcluster.yaml
with the following content:
# vmcluster.yaml
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMCluster
metadata:
name: demo
spec:
retentionPeriod: "1"
replicationFactor: 2
vmstorage:
replicaCount: 2
storageDataPath: "/vm-data"
storage:
volumeClaimTemplate:
spec:
resources:
requests:
storage: "10Gi"
resources:
limits:
cpu: "1"
memory: "1Gi"
vmselect:
replicaCount: 2
cacheMountPath: "/select-cache"
storage:
volumeClaimTemplate:
spec:
resources:
requests:
storage: "1Gi"
resources:
limits:
cpu: "1"
memory: "1Gi"
requests:
cpu: "0.5"
memory: "500Mi"
vminsert:
replicaCount: 2
resources:
limits:
cpu: "1"
memory: "1Gi"
requests:
cpu: "0.5"
memory: "500Mi"
After that you can deploy vmcluster
resource to the kubernetes cluster:
kubectl apply -f vmcluster.yaml -n vm
# vmcluster.operator.victoriametrics.com/demo created
Check that vmcluster
is running:
kubectl get pods -n vm -l "app.kubernetes.io/instance=demo"
# NAME READY STATUS RESTARTS AGE
# vminsert-demo-8688d88ff7-fnbnw 1/1 Running 0 3m39s
# vminsert-demo-8688d88ff7-5wbj7 1/1 Running 0 3m39s
# vmselect-demo-0 1/1 Running 0 3m39s
# vmselect-demo-1 1/1 Running 0 3m39s
# vmstorage-demo-1 1/1 Running 0 22s
# vmstorage-demo-0 1/1 Running 0 6s
Now you can see that 6 components of your demo vmcluster is running.
In addition, you can see that the operator created services for each of the component type:
kubectl get svc -n vm -l "app.kubernetes.io/instance=demo"
# NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
# vmstorage-demo ClusterIP None <none> 8482/TCP,8400/TCP,8401/TCP 8m3s
# vmselect-demo ClusterIP None <none> 8481/TCP 8m3s
# vminsert-demo ClusterIP 192.168.194.183 <none> 8480/TCP 8m3s
We'll need them in the next steps.
More information about vmcluster
resource you can find on
the vmcluster page.
Now let's deploy vmagent
resource.
Create file vmagent.yaml
code vmagent.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAgent
metadata:
name: demo
spec:
selectAllByDefault: true
remoteWrite:
- url: "http://vminsert-demo.vm.svc:8480/insert/0/prometheus/api/v1/write"
After that you can deploy vmagent
resource to the kubernetes cluster:
kubectl apply -f vmagent.yaml -n vm
# vmagent.operator.victoriametrics.com/demo created
Check that vmagent
is running:
kubectl get pods -n vm -l "app.kubernetes.io/instance=demo" -l "app.kubernetes.io/name=vmagent"
# NAME READY STATUS RESTARTS AGE
# vmagent-demo-6785f7d7b9-zpbv6 2/2 Running 0 72s
More information about vmagent
resource you can find on
the vmagent page.
Now we have the timeseries database (vmcluster) and the tool to collect metrics (vmagent) and send it to the database.
But we need to tell vmagent what metrics to collect. For this we will use vmservicescrape
resource
or other *scrape
resources.
By default, operator creates vmservicescrape
resource for each component that it manages. More details about this you can find on
the monitoring page.
For instance, we can create vmservicescrape
for VictoriaMetrics operator manually. Let's create file vmservicescrape.yaml
:
code vmservicescrape.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMServiceScrape
metadata:
name: vmoperator-demo
spec:
selector:
matchLabels:
app.kubernetes.io/instance: vmoperator
app.kubernetes.io/name: victoria-metrics-operator
namespaceSelector:
matchNames:
- vm
endpoints:
- port: http
After that you can deploy vmservicescrape
resource to the kubernetes cluster:
kubectl apply -f vmservicescrape.yaml -n vm
# vmservicescrape.operator.victoriametrics.com/vmoperator-demo created
We need to look at the results of what we got. Up until now, we've just been looking only at the status of the pods.
Let's expose our components with vmauth
.
Create file vmauth.yaml
code vmauth.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAuth
metadata:
name: demo
spec:
selectAllByDefault: true
userNamespaceSelector: {}
userSelector: {}
ingress:
class_name: nginx # <-- change this to your ingress-controller
host: vm-demo.k8s.orb.local # <-- change this to your domain
Note that content of ingress
field depends on your ingress-controller and domain.
Your cluster will have them differently.
Also, for simplicity, we don't use tls, but in real environments not having tls is unsafe.
To get authorized access to our data it is necessary to create a user using the vmuser resource.
Create file vmuser.yaml
code vmuser.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMUser
metadata:
name: demo
spec:
name: demo
username: demo
generatePassword: true
targetRefs:
# vmui + vmselect
- crd:
kind: VMCluster/vmselect
name: demo
namespace: vm
target_path_suffix: "/select/0"
paths:
- "/vmui"
- "/vmui/.*"
- "/prometheus/api/v1/query"
- "/prometheus/api/v1/query_range"
- "/prometheus/api/v1/series"
- "/prometheus/api/v1/status/.*"
- "/prometheus/api/v1/label/"
- "/prometheus/api/v1/label/[^/]+/values"
After that you can deploy vmauth
and vmuser
resources to the kubernetes cluster:
kubectl apply -f vmauth.yaml -n vm
kubectl apply -f vmuser.yaml -n vm
# vmauth.operator.victoriametrics.com/demo created
# vmuser.operator.victoriametrics.com/demo created
Operator automatically creates a secret with username/password token for VMUser
resource with generatePassword=true
:
kubectl get secret -n vm -l "app.kubernetes.io/instance=demo" -l "app.kubernetes.io/name=vmuser"
# NAME TYPE DATA AGE
# vmuser-demo Opaque 3 29m
You can get password for your user with command:
kubectl get secret -n vm vmuser-demo -o jsonpath="{.data.password}" | base64 --decode
# Yt3N2r3cPl
Now you can get access to your data with url http://vm-demo.k8s.orb.local/vmui
, username demo
and your given password (Yt3N2r3cPl
in our case):
The remaining components will be needed for alerting.
Let's start with vmalertmanager
.
Create file vmalertmanager.yaml
code vmalertmanager.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAlertmanager
metadata:
name: demo
spec:
configRawYaml: |
global:
resolve_timeout: 5m
route:
group_wait: 30s
group_interval: 5m
repeat_interval: 12h
receiver: 'webhook'
receivers:
- name: 'webhook'
webhook_configs:
- url: 'http://your-webhook-url'
where webhook-url is the address of the webhook to receive notifications
(configuration of AlertManager notifications will remain out of scope).
You can find more details about alertmanager
configuration in
the Alertmanager documentation.
After that you can deploy vmalertmanager
resource to the kubernetes cluster:
kubectl apply -f vmalertmanager.yaml -n vm
# vmalertmanager.operator.victoriametrics.com/demo created
Check that vmalertmanager
is running:
kubectl get pods -n vm -l "app.kubernetes.io/instance=demo" -l "app.kubernetes.io/name=vmalertmanager"
# NAME READY STATUS RESTARTS AGE
# vmalertmanager-demo-0 2/2 Running 0 107s
And now you can create vmalert
resource.
Create file vmalert.yaml
code vmalert.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAlert
metadata:
name: demo
spec:
datasource:
url: "http://vmselect-demo.vm.svc:8481/select/0/prometheus"
remoteWrite:
url: "http://vminsert-demo.vm.svc:8480/insert/0/prometheus"
remoteRead:
url: "http://vmselect-demo.vm.svc:8481/select/0/prometheus"
notifier:
url: "http://vmalertmanager-demo.vm.svc:9093"
evaluationInterval: "30s"
selectAllByDefault: true
# for accessing to vmalert via vmauth with path prefix
extraArgs:
http.pathPrefix: /vmalert
After that you can deploy vmalert
resource to the kubernetes cluster:
kubectl apply -f vmalert.yaml -n vm
# vmalert.operator.victoriametrics.com/demo created
Check that vmalert
is running:
kubectl get pods -n vm -l "app.kubernetes.io/instance=demo" -l "app.kubernetes.io/name=vmalert"
# NAME READY STATUS RESTARTS AGE
# vmalert-demo-bf75c67cb-hh4qd 2/2 Running 0 5s
Now you can create vmrule resource for vmalert.
Create file vmrule.yaml
code vmrule.yaml
with the following content:
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMRule
metadata:
name: demo
spec:
groups:
- name: vmalert
rules:
- alert: vmalert config reload error
expr: delta(vmalert_config_last_reload_errors_total[5m]) > 0
for: 10s
labels:
severity: major
job: "{{ $labels.job }}"
annotations:
value: "{{ $value }}"
description: 'error reloading vmalert config, reload count for 5 min {{ $value }}'
After that you can deploy vmrule
resource to the kubernetes cluster:
kubectl apply -f vmrule.yaml -n vm
# vmrule.operator.victoriametrics.com/demo created
Let's update our user with access to vmalert
and vmalertmanager
:
code vmuser.yaml
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMUser
metadata:
name: demo
spec:
name: demo
username: demo
generatePassword: true
targetRefs:
# vmui + vmselect
- crd:
kind: VMCluster/vmselect
name: demo
namespace: vm
target_path_suffix: "/select/0"
paths:
- "/vmui"
- "/vmui/.*"
- "/prometheus/api/v1/query"
- "/prometheus/api/v1/query_range"
- "/prometheus/api/v1/series"
- "/prometheus/api/v1/status/.*"
- "/prometheus/api/v1/label/"
- "/prometheus/api/v1/label/[^/]+/values"
# vmalert
- crd:
kind: VMAlert
name: demo
namespace: vm
paths:
- "/vmalert"
- "/vmalert/.*"
- "/api/v1/groups"
- "/api/v1/alert"
- "/api/v1/alerts"
After that you can deploy vmuser
resource to the kubernetes cluster:
kubectl apply -f vmuser.yaml -n vm
# vmuser.operator.victoriametrics.com/demo created
And now you can get access to your data with url http://vm-demo.k8s.orb.local/vmalert
(for your environment it most likely will be different) with username demo
:
That's it. We obtained a monitoring cluster corresponding to the target topology:
You have a full-stack monitoring cluster with VictoriaMetrics Operator.
You can find information about these and other resources of operator on the Custom resources page.
In addition, check out other sections of the documentation for VictoriaMetrics Operator:
- Setup
- Security
- Configuration
- Migration from Prometheus
- Monitoring
- Authorization and exposing components
- High Availability
- Enterprise
If you have any questions, check out our FAQ and feel free to can ask them:
If you have any suggestions or find a bug, please create an issue on GitHub.