云原生(三十五) | Prometheus入门和安装
Posted Lansonli
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文章目录
Prometheus入门和安装
一、入门
Prometheus是一个开源监控解决方案,用于收集和聚合指标作为时间序列数据。更简单地说,Prometheus 商店中的每个项目都是一个指标事件,并带有它发生的时间戳。
Prometheus 最初是在 Soundcloud 开发的,但现在是一个由Cloud Native Computing Foundation (CNCF)支持的社区项目。在过去十年中,它迅速发展壮大,因为它结合了查询功能和云原生架构,使其成为现代应用程序的理想监控堆栈。
1、docker版本
mkdir -p /app/prometheus/config
# 自行配置 prometheus.yml
docker run -d --name prometheus --restart=always \\
-p 9090:9090 \\
-v /app/prometheus/config:/etc/prometheus \\
prom/prometheus
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
- alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
scrape_interval: 5s
static_configs:
- targets: ['127.0.0.1:9090']
- job_name: 'docker'
scrape_interval: 10s
static_configs:
- targets: ['10.120.82.4:8080'] ## 这个安装了下面cadvisor才有,自动访问/metrics
- job_name: 'node' ## 准备一个程序能暴露 /metrics k v; node_exporter
scrape_interval: 5s
static_configs:
- targets: ['10.120.82.4:9100']
# 运行cadvisor 导出docker节点数据,访问 8080/metrics即可
docker run -v /:/rootfs:ro \\
-v /var/run:/var/run:rw \\
-v /sys:/sys:ro \\
-v /var/lib/docker/:/var/lib/docker:ro \\
-p 8080:8080 -d --name=cadvisor google/cadvisor
#主机监控,参照如下网址
https://grafana.com/grafana/dashboards/13978?src=grafana_gettingstarted&pg=dashboards&plcmt=featured-sub1
#创建开机启动服务.为啥不行???? 可以用 nohup node_exporter &
#nohup node_exporter >> node_exporter.output.log 2>&1 &
vi /etc/systemd/system/node-exporter.service
## 内容如下,如下的配置算了
[Unit]
Description=Node Exporter
[Service]
User=node-exporter
ExecStart=/usr/local/bin/node_exporter --config.file=agent-config.yaml
##ExecStart=/usr/local/bin/node_exporter
Restart=always
[Install]
WantedBy=multi-user.target
##创建用户
useradd --no-create-home --shell /bin/false node-exporter
## 启动
sudo systemctl daemon-reload
sudo systemctl enable node-exporter.service --now
sudo systemctl start node-exporter.service
sudo systemctl status node-exporter.service
docker run -d --name=grafana --restart=always -p 3000:3000 grafana/grafana
二、安装
kube-prometheus-stack
-
prometheus
-
stack-charts
1、charts下载
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
helm pull prometheus-community/kube-prometheus-stack --version 16.0.0
2、定制化配置
2.1、配置ingress访问证书
全局做过的就可以跳过;
只需要给全局加上域名即可
2.2、配置定制化文件
vi override.yaml #直接Ingress部署的
alertmanager:
ingress:
enabled: true
ingressClassName: nginx
hosts:
- alertmanager.itdachang.com
paths:
- /
pathType: Prefix
tls:
- secretName: itdachang.com
hosts:
- alertmanager.itdachang.com
grafana:
enabled: true
defaultDashboardsEnabled: true
adminPassword: Admin123456
ingress:
enabled: true
hosts:
- grafana.itdachang.com
path: /
pathType: Prefix
tls:
- secretName: itdachang.com
hosts:
- grafana.itdachang.com
prometheus:
ingress:
enabled: true
hosts: [prometheus.itdachang.com]
paths:
- /
pathType: Prefix
tls:
- secretName: itdachang.com
hosts:
- prometheus.itdachang.com
additionalPodMonitors:
- name: registry.cn-hangzhou.aliyuncs.com/lanson_k8s_images/kube-state-metrics:v2.0.0
3、安装
kubectl create ns monitor
helm install -f values.yaml -f override.yaml prometheus-stack ./ -n monitor
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