为实现Prometheus监控目标配置的动态加载,可通过基于文件的服务发现完成配置
1 Kafka服务的自动发现配置
Prometheus官方exporter链接:
在kafka节点上运行docker版kafka-exporter
docker run -d -p 9308:9308 danielqsj/kafka-exporter --kafka.server=kafka:9092
知识兔创建targets文件夹:
mkdir -p /etc/promethues/targets/kafka
知识兔创建组件targets的yml文件:
vim /etc/promethues/targets/kafka
- targets:
- "kafka1:9308"
- "kafka2:9308"
- "kafka3:9308"
知识兔修改/etc/prometheus/prometheus.yml:
...
- job_name: 'kafka'
file_sd_configs:
- files:
- targets/kafka/*.yml
refresh_interval: 5m
知识兔2 MySQL服务的自动发现配置
Prometheus官方exporter链接:
在kafka节点上运行docker版mysql-exporter,并对应双实例
docker run -d -p 9104:9104 -e DATA_SOURCE_NAME="exporter:pwd@(mysql-1:3306)/" prom/mysqld-exporter
# 双实例
docker run -d -p 9105:9104 -e DATA_SOURCE_NAME="exporter:pwd@(mysql-1:13306)/" prom/mysqld-exporter
知识兔创建targets文件夹:
mkdir -p /etc/promethues/targets/mysql
知识兔创建组件targets的yml文件:
- targets:
- "mysql-1:9104"
- "mysql-1:9105"
知识兔修改/etc/prometheus/prometheus.yml:
- job_name: 'mysql'
file_sd_configs:
- files:
- targets/mysql/*.yml
refresh_interval: 5m
知识兔3 Redis Cluster服务的自动发现配置
Prometheus官方exporter链接:
在redis节点上运行docker版redis-exporter
docker run -d --name redis_exporter -p 9121:9121 oliver006/redis_exporter
知识兔创建targets文件夹:
mkdir -p /etc/promethues/targets/redis
知识兔创建组件targets的yml文件:
- targets:
- redis://redis-1:16379
- redis://redis-2:16379
- redis://redis-3:16379
知识兔修改/etc/prometheus/prometheus.yml:
...
- job_name: 'redis_exporter_targets'
file_sd_configs:
- files:
- targets/redis/redis.yml
metrics_path: /scrape
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 10.252.210.144:9121
## config for scraping the exporter itself
- job_name: 'redis_exporter'
static_configs:
- targets:
- 10.252.210.144:9121
知识兔
知识兔