Getting Started with Helm Charts (Monitoring using Prometheus Operator)
This document explains how to get started with Scalar products monitoring on Kubernetes using Prometheus Operator (kube-prometheus-stack). Here, we assume that you already have a Mac or Linux environment for testing. We use Minikube in this document, but the steps we will show should work in any Kubernetes cluster.
What we create​
We will deploy the following components on a Kubernetes cluster as follows.
+--------------------------------------------------------------------------------------------------+
| +------------------------------------------------------+ +-----------------+ |
| | kube-prometheus-stack | | Scalar Products | |
| | | | | |
| | +--------------+ +--------------+ +--------------+ | -----(Monitor)----> | +-----------+ | |
| | | Prometheus | | Alertmanager | | Grafana | | | | ScalarDB | | |
| | +-------+------+ +------+-------+ +------+-------+ | | +-----------+ | |
| | | | | | | +-----------+ | |
| | +----------------+-----------------+ | | | ScalarDL | | |
| | | | | +-----------+ | |
| +--------------------------+---------------------------+ +-----------------+ |
| | |
| | Kubernetes |
+----------------------------+---------------------------------------------------------------------+
| <- expose to localhost (127.0.0.1) or use load balancer etc to access
|
(Access Dashboard through HTTP)
|
+----+----+
| Browser |
+---------+
Step 1. Start a Kubernetes cluster​
First, you need to prepare a Kubernetes cluster. If you use a minikube environment, please refer to the Getting Started with Scalar Helm Charts. If you have already started a Kubernetes cluster, you can skip this step.
Step 2. Prepare a custom values file​
-
Get the sample file scalar-prometheus-custom-values.yaml for
kube-prometheus-stack
. -
Add custom values in the
scalar-prometheus-custom-values.yaml
as follows.-
settings
prometheus.service.type
toLoadBalancer
alertmanager.service.type
toLoadBalancer
grafana.service.type
toLoadBalancer
grafana.service.port
to3000
-
Example
alertmanager:
service:
type: LoadBalancer
...
grafana:
service:
type: LoadBalancer
port: 3000
...
prometheus:
service:
type: LoadBalancer
... -
Note:
- If you want to customize the Prometheus Operator deployment using Helm Charts, you need to set the following configuration for monitoring Scalar products.
- The
serviceMonitorSelectorNilUsesHelmValues
andruleSelectorNilUsesHelmValues
must be set tofalse
(true
by default) to make Prometheus Operator detectsServiceMonitor
andPrometheusRule
of Scalar products.
- The
- If you want to customize the Prometheus Operator deployment using Helm Charts, you need to set the following configuration for monitoring Scalar products.
-
Step 3. Deploy kube-prometheus-stack
​
-
Add the
prometheus-community
helm repository.helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
-
Create a namespace
monitoring
on the Kubernetes.kubectl create namespace monitoring
-
Deploy the
kube-prometheus-stack
.helm install scalar-monitoring prometheus-community/kube-prometheus-stack -n monitoring -f scalar-prometheus-custom-values.yaml
Step 4. Deploy (or Upgrade) Scalar products using Helm Charts​
- Note:
- The following explains the minimum steps. If you want to know more details about the deployment of ScalarDB and ScalarDL, please refer to the following documents.
-
To enable Prometheus monitoring of Scalar products, set
true
to the following configurations in the custom values file.- Configurations
*.prometheusRule.enabled
*.grafanaDashboard.enabled
*.serviceMonitor.enabled
- Sample configuration files
-
ScalarDB (scalardb-custom-values.yaml)
envoy:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true
scalardb:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true -
ScalarDL Ledger (scalardl-ledger-custom-values.yaml)
envoy:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true
ledger:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true -
ScalarDL Auditor (scalardl-auditor-custom-values.yaml)
envoy:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true
auditor:
prometheusRule:
enabled: true
grafanaDashboard:
enabled: true
serviceMonitor:
enabled: true
-
- Configurations
-
Deploy (or Upgrade) Scalar products using Helm Charts with the above custom values file.
- Examples
-
ScalarDB
helm install scalardb scalar-labs/scalardb -f ./scalardb-custom-values.yaml
helm upgrade scalardb scalar-labs/scalardb -f ./scalardb-custom-values.yaml
-
ScalarDL Ledger
helm install scalardl-ledger scalar-labs/scalardl -f ./scalardl-ledger-custom-values.yaml
helm upgrade scalardl-ledger scalar-labs/scalardl -f ./scalardl-ledger-custom-values.yaml
-
ScalarDL Auditor
helm install scalardl-auditor scalar-labs/scalardl-audit -f ./scalardl-auditor-custom-values.yaml
helm upgrade scalardl-auditor scalar-labs/scalardl-audit -f ./scalardl-auditor-custom-values.yaml
-
- Examples
Step 5. Access Dashboards​
If you use minikube​
-
To expose each service resource as your
localhost (127.0.0.1)
, open another terminal, and run theminikube tunnel
command.minikube tunnel
After running the
minikube tunnel
command, you can see the EXTERNAL-IP of each service resource as127.0.0.1
.kubectl get svc -n monitoring scalar-monitoring-kube-pro-prometheus scalar-monitoring-kube-pro-alertmanager scalar-monitoring-grafana
[Command execution result]
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
scalar-monitoring-kube-pro-prometheus LoadBalancer 10.98.11.12 127.0.0.1 9090:30550/TCP 26m
scalar-monitoring-kube-pro-alertmanager LoadBalancer 10.98.151.66 127.0.0.1 9093:31684/TCP 26m
scalar-monitoring-grafana LoadBalancer 10.103.19.4 127.0.0.1 3000:31948/TCP 26m -
Access each Dashboard.
-
Prometheus
http://localhost:9090/
-
Alertmanager
http://localhost:9093/
-
Grafana
http://localhost:3000/
- Note:
- You can see the user and password of Grafana as follows.
-
user
kubectl get secrets scalar-monitoring-grafana -n monitoring -o jsonpath='{.data.admin-user}' | base64 -d
-
password
kubectl get secrets scalar-monitoring-grafana -n monitoring -o jsonpath='{.data.admin-password}' | base64 -d
-
- You can see the user and password of Grafana as follows.
- Note:
-
If you use other Kubernetes than minikube​
If you use a Kubernetes cluster other than minikube, you need to access the LoadBalancer service according to the manner of each Kubernetes cluster. For example, using a Load Balancer provided by cloud service or the kubectl port-forward
command.
Step 6. Delete all resources​
After completing the Monitoring tests on the Kubernetes cluster, remove all resources.
-
Terminate the
minikube tunnel
command. (If you use minikube)Ctrl + C
-
Uninstall
kube-prometheus-stack
.helm uninstall scalar-monitoring -n monitoring
-
Delete minikube. (Optional / If you use minikube)
minikube delete --all
- Note:
- If you deploy the ScalarDB or ScalarDL, you need to remove them before deleting minikube.
- Note: