Knative 可观测性使用prometheus与grafana监控

Corey2026/8/13大约 4 分钟

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Knative 可观测性使用prometheus与grafana监控

本案例中有负载均衡器：metallb

一、安装helm

本案例通过复制链接下载：
# wget https://get.helm.sh/helm-v3.7.2-linux-amd64.tar.gz

# ls
 helm-v3.7.2-linux-amd64.tar.gz

# tar xf helm-v3.7.2-linux-amd64.tar.gz

# ls
linux-amd64

# ls linux-amd64/
helm  LICENSE  README.md

# mv linux-amd64/helm /usr/bin

验证
# helm version
version.BuildInfo{Version:"v3.7.2", GitCommit:"663a896f4a815053445eec4153677ddc24a0a361", GitTreeState:"clean", GoVersion:"go1.16.10"}

二、通过helm安装prometheus及grafana

2.1 添加helm repo

# helm repo add prometheus-community https://prometheus-community.github.io/helm-charts

2.2 更新repo

# helm repo update

2.3 搜索prometheus

# helm search repo prometheus-community

2.4 查看环境变量

# helm env
HELM_BIN="helm"
HELM_CACHE_HOME="/root/.cache/helm"
HELM_CONFIG_HOME="/root/.config/helm"
HELM_DATA_HOME="/root/.local/share/helm"
HELM_DEBUG="false"
HELM_KUBEAPISERVER=""
HELM_KUBEASGROUPS=""
HELM_KUBEASUSER=""
HELM_KUBECAFILE=""
HELM_KUBECONTEXT=""
HELM_KUBETOKEN=""
HELM_MAX_HISTORY="10"
HELM_NAMESPACE="default"
HELM_PLUGINS="/root/.local/share/helm/plugins"
HELM_REGISTRY_CONFIG="/root/.config/helm/registry.json"
HELM_REPOSITORY_CACHE="/root/.cache/helm/repository"
HELM_REPOSITORY_CONFIG="/root/.config/helm/repositories.yaml"

2.5 确保tgz文件可下载

# cat /root/.cache/helm/repository/prometheus-community-index.yaml |grep tgz

2.6 安装prometheus

# helm install stable prometheus-community/kube-prometheus-stack

2.7 查看部署的资源对象

# kubectl get pods

输出结果

NAME                                                     READY   STATUS    RESTARTS   AGE
alertmanager-stable-kube-prometheus-sta-alertmanager-0   2/2     Running   0          102m
prometheus-stable-kube-prometheus-sta-prometheus-0       2/2     Running   0          102m
stable-grafana-5677c65c4b-djjl2                          3/3     Running   0          102m
stable-kube-prometheus-sta-operator-ccdf775-lg9pz        1/1     Running   0          102m
stable-kube-state-metrics-67997bdf84-p4gwl               1/1     Running   0          102m
stable-prometheus-node-exporter-8r946                    1/1     Running   0          102m
stable-prometheus-node-exporter-hwkcn                    1/1     Running   0          102m
stable-prometheus-node-exporter-s2jkq                    1/1     Running   0          102m

# kubectl get svc

2.8 编辑资源对象文件修改service暴露模式

# kubectl edit service stable-kube-prometheus-sta-prometheus
修改type为：LoadBalancer

# kubectl edit service stable-grafana
修改type为：LoadBalancer

# kubectl get svc

输出结果：
stable-grafana                            LoadBalancer   10.98.34.87      192.168.10.201                                         80:30634/TCP                                 103m

stable-kube-prometheus-sta-prometheus     LoadBalancer   10.108.194.89    192.168.10.200                                         9090:32112/TCP                               103m

2.9 通过IP地址访问prometheus

2.10 通过IP地址访问grafana

默认用户名为：admin 密码为：prom-operator

三、收集Knative指标数据

3.1 创建监控器

# kubectl apply -f https://raw.githubusercontent.com/knative-sandbox/monitoring/main/servicemonitor.yaml

grafana仪表盘:https://github.com/knative-sandbox/monitoring/tree/main/grafana

3.2 创建knative service

3.2.1 创建

# kubectl apply -f java-app/

# # kubectl get pods
NAME                                                       READY   STATUS    RESTARTS   AGE
helloworld-java-spring-00001-deployment-5bcdc9ff89-qdvcj   2/2     Running   0          70s

3.2.2 访问

3.3 创建 eventing

可根据前面的eventing应用案例进行创建后监控。

Knative 可观测性 使用prometheus与grafana监控

Knative 可观测性使用prometheus与grafana监控