常用docker-compose文件
# docker-compose相关
# 一、docker-compose相关
常用命令
// 启动
docker-compose up -d
// 停止
docker-compose stop
// 停止并删除容器
docker-compose down
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# 二、docker-compose 文件
运行jar文件
version: "3"
services:
platform:
# 指定容器名称
container_name: platform
# 重启机制
restart: always
# 镜像名称
image: ccr.ccs.tencentyun.com/lisysource/lisyalpinejava8:latest
# 指定工作空间（为了方便jar包直接用外部的配置文件）
working_dir: /usr/local/myapp
volumes:
# 将当前目录映射到容器内部的/usr/local/myapp
- ./:/usr/local/myapp
# 指定容器时间为宿主机时间
- /etc/localtime:/etc/localtime
# 访问端口
ports:
- 18284:8284
- 19876:19876
environment:
# 指定时区
- TZ=Asia/Shanghai
#启动容器后执行的命令
entrypoint: java -Xms1024m -Xmx1024m -jar app.jar
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Dockerfile( docker build -t lisyjavaapp:v1 .)
FROM ccr.ccs.tencentyun.com/lisysource/lisyalpinejava8:latest
COPY app.jar app.jar
ENTRYPOINT ["java","-jar","/app.jar"]
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nginx
mkdir -p ./html ./conf ./conf.d ./logs
version: '3'
services:
nginx:
image: nginx
container_name: nginx-main
restart: always
ports:
- 80:80
volumes:
- ./html:/usr/share/nginx/html
- ./logs:/var/log/nginx
- ./conf.d:/etc/nginx/conf.d
- ./conf/nginx.conf:/etc/nginx/nginx.conf
// conf文件里面新建nginx.conf
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 300;
server {
listen 80;
server_name localhost;
location / {
root /usr/share/nginx/html;
index index.html index.htm;
}
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root html;
}
}
}
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sql server
mssql:
image: 'mcr.microsoft.com/mssql/server:2019-latest'
ports:
- '1433:1433'
environment:
- ACCEPT_EULA=Y
- SA_PASSWORD=12345678
volumes:
- ./data/data:/var/opt/mssql/data
- ./data/logs:/var/opt/mssql/log
- ./data/secrets:/var/opt/mssql/secrets
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graylog
version: '3'
services:
# MongoDB: https://hub.docker.com/_/mongo/
mongodb:
image: mongo:4.2
volumes:
- ./mongo_data:/data/db
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
command: /bin/bash -c "docker-entrypoint.sh mongod"
# Elasticsearch: https://www.elastic.co/guide/en/elasticsearch/reference/7.10/docker.html
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:7.10.2
volumes:
- ./es_data:/usr/share/elasticsearch/data
environment:
- http.host=0.0.0.0
- transport.host=localhost
- network.host=0.0.0.0
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
command: /bin/bash -c "/usr/local/bin/docker-entrypoint.sh eswrapper"
deploy:
resources:
limits:
cpus: '0.25'
memory: 1024M
# Graylog: https://hub.docker.com/r/graylog/graylog/
graylog:
image: graylog/graylog:4.0
volumes:
- ./graylog_data:/usr/share/graylog/data
environment:
# CHANGE ME (must be at least 16 characters)!
- GRAYLOG_PASSWORD_SECRET=somepasswordpepper
# Password: admin
- GRAYLOG_ROOT_PASSWORD_SHA2=8c6976e5b5410415bde908bd4dee15dfb167a9c873fc4bb8a81f6f2ab448a918
- GRAYLOG_HTTP_EXTERNAL_URI=http://192.168.6.175:9000/
entrypoint: /usr/bin/tini -- wait-for-it elasticsearch:9200 -- /docker-entrypoint.sh
links:
- mongodb:mongo
- elasticsearch
restart: always
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
depends_on:
- mongodb
- elasticsearch
ports:
# Graylog web interface and REST API
- 9000:9000
# Syslog TCP
- 1514:1514
# Syslog UDP
- 1514:1514/udp
# GELF TCP
- 12201:12201
# GELF UDP
- 12201:12201/udp
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es
version: '3'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:7.10.2
volumes:
- /root/sky/es/es_data:/usr/share/elasticsearch/data
command: /bin/bash -c "/usr/local/bin/docker-entrypoint.sh eswrapper"
environment:
- http.host=0.0.0.0
- transport.host=localhost
- network.host=0.0.0.0
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.type=single-node
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
restart: always
ports:
- 9200:9200
- 9300:9300
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elk:
version: '3'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.10.2
volumes:
- ./es_data:/usr/share/elasticsearch/data
- ./es_data/plugins:/usr/share/elasticsearch/plugins
command: /bin/bash -c "/usr/local/bin/docker-entrypoint.sh eswrapper"
environment:
- http.host=0.0.0.0
- transport.host=localhost
- network.host=0.0.0.0
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.type=single-node
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
restart: always
ports:
- 9200:9200
- 9300:9300
kibana:
image: docker.elastic.co/kibana/kibana:7.10.2
container_name: kibana
depends_on:
- elasticsearch
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
restart: always
ports:
- 5601:5601
logstash:
image: logstash:7.10.1
container_name: logstash
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
restart: always
ports:
- "5000:5000/tcp"
- "5010:5010/tcp"
- "5000:5000/udp"
- "9600:9600"
environment:
discovery.type: single-node
ES_JAVA_OPTS: "-Xmx256m -Xms256m"
volumes:
- ./logstash_data/conf:/usr/share/logstash/config
- ./logstash_data/plugins:/tmp/plugins
- /etc/localtime:/etc/localtime
- ./logstash_data/logstash.yml:/usr/share/logstash/config/logstash.yml
depends_on:
- elasticsearch
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portainer
version: '3'
services:
portainer:
image: portainer/portainer-ce:2.9.3
#command: -H unix:///var/run/docker.sock
restart: always
ports:
- 52000:9000
- 8000:8000
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- ./portainer_data:/data
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gitea
version: '3'
services:
web:
image: gitea/gitea:1.14.2
volumes:
- ./data:/data
environment:
- DB_TYPE=mysql
- DB_HOST=db:3306
- DB_NAME=gitea
- DB_USER=gitea
- DB_PASSWD=wzrNewDB
- HTTP_PORT=16989
ports:
- "16988:16989"
- "16222:22"
depends_on:
- db
restart: always
deploy:
resources:
limits:
cpus: '0.10'
memory: 512M
db:
image: mariadb:10
restart: always
environment:
- MYSQL_ROOT_PASSWORD=wzrNewDB
- MYSQL_DATABASE=gitea
- MYSQL_USER=gitea
- MYSQL_PASSWORD=wzrNewDBA
volumes:
- ./db/:/var/lib/mysql
deploy:
resources:
limits:
cpus: '0.10'
memory: 512M
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mysql8
version: '3.1'
services:
db:
container_name: mysql-master
image: mysql:8.0.23
hostname: server-1
network_mode: host
environment:
MYSQL_ROOT_PASSWORD: 123456
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
command:
--default-authentication-plugin=mysql_native_password
--character-set-server=utf8mb4
--collation-server=utf8mb4_general_ci
--explicit_defaults_for_timestamp=true
--lower_case_table_names=1
ports:
- 3306:3306
- 33061:33061
volumes:
- ./data:/var/lib/mysql
- ./config/my.cnf:/etc/mysql/conf.d/docker.cnf
- /etc/hosts:/etc/hosts
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通用配置：
[mysqld]
# 一般配置选项
port = 3306
character-set-server=utf8mb4
default_storage_engine=InnoDB
skip-host-cache
skip-name-resolve
lower_case_table_names=1
sql_mode=STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION
max_connections=1000
# 默认使用“mysql_native_password”插件认证
default_authentication_plugin=mysql_native_password
#MySQL执行排序使用的缓冲大小。如果想要增加ORDER BY的速度，首先看是否可以让MySQL使用索引而不是额外的排序阶段。如果不能，可以尝试增加sort_buffer_size变量的大小
sort_buffer_size = 8M
log_bin_trust_function_creators=1
group_concat_max_len = 9999999
#要考虑时区
default-time_zone = '+8:00'
binlog_expire_logs_seconds=604800
#该参数通常设置为总内存大小的50%~70%
innodb_buffer_pool_size = 3G
innodb_write_io_threads = 4
innodb_read_io_threads = 4
#open_files_limit = 65535
#max_allowed_packet = 4M
#关闭bin日志
#skip-log-bin
#disable-log-bin
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redis
version: '3.1'
services:
redis:
image: redis:5.0.12
container_name: redis
command: redis-server --requirepass 123456
ports:
- "6379:6379"
volumes:
- ./data:/data
restart: always
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nacos
version: '3.1'
services:
nacos-server:
image: nacos/nacos-server:1.4.2
container_name: nacos-server
environment:
- MODE=standalone
- SPRING_DATASOURCE_PLATFORM=mysql
- MYSQL_SERVICE_HOST=mysql8.0.23
- MYSQL_SERVICE_PORT=3306
- MYSQL_SERVICE_DB_NAME=nacos
- MYSQL_SERVICE_USER=root
- MYSQL_SERVICE_PASSWORD=123456
- JVM_XMS=512m
- JVM_XMX=512m
volumes:
- ./standalone-logs/:/home/nacos/logs
- ./custom.properties:/home/nacos/init.d/custom.properties
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
ports:
- "8848:8848"
- "9848:9848"
- "9555:9555"
restart: on-failure
networks:
- default
- mysql8_default
networks:
mysql8_default:
external: true
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rocketmq
version: '3.5'
services:
namesrv:
image: rocketmqinc/rocketmq
container_name: rmqnamesrv
ports:
- 9876:9876
volumes:
- ./rocketmq/logs:/home/rocketmq/logs
- ./rocketmq/store:/home/rocketmq/store
command: sh mqnamesrv
environment:
- JAVA_OPTS=-Xmx512m -Xms512m -Xss256k
restart: on-failure
deploy:
resources:
limits:
cpus: '0.10'
memory: 512M
broker:
image: rocketmqinc/rocketmq
container_name: rmqbroker
ports:
- 10909:10909
- 10911:10911
- 10912:10912
volumes:
- ./rocketmq/logs:/home/rocketmq/logs
- ./rocketmq/store:/home/rocketmq/store
- ./rocketmq/conf/broker.conf:/opt/rocketmq-4.4.0/conf/broker.conf
#command: sh mqbroker -n namesrv:9876
command: sh mqbroker -n namesrv:9876 -c ../conf/broker.conf
depends_on:
- namesrv
environment:
- JAVA_HOME=/usr/lib/jvm/jre
- JAVA_OPTS=-Xmx512m -Xms512m -Xss256k
restart: on-failure
deploy:
resources:
limits:
cpus: '0.10'
memory: 512M
console:
image: styletang/rocketmq-console-ng
container_name: rocketmq-console-ng
ports:
- 8087:8080
depends_on:
- namesrv
restart: on-failure
deploy:
resources:
limits:
cpus: '0.10'
memory: 512M
environment:
- JAVA_OPTS= -Xmx512m -Xms512m -Xss256k -Dlogging.level.root=info -Drocketmq.namesrv.addr=rmqnamesrv:9876
- Dcom.rocketmq.sendMessageWithVIPChannel=false
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broker.conf
brokerClusterName = DefaultCluster
brokerName = broker-a
brokerId = 0
deleteWhen = 04
fileReservedTime = 48
brokerRole = ASYNC_MASTER
flushDiskType = ASYNC_FLUSH
# 如果是本地程序调用云主机 mq，这个需要设置成 云主机 IP,docker 的话，要写宿主的ip
brokerIP1=192.168.23.131
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postgresql
version: '3'
services:
postgres:
image: postgres:latest
container_name: postgres_dc
volumes:
- ./pgdata:/var/lib/postgresql/data
environment:
POSTGRES_USER: lisy #在此填写postgres的用户名
POSTGRES_DB: qzptmis #在此填写postgres的数据库名，默认是postgres
POSTGRES_PASSWORD: 123456 #在此填写posgres的数据库密码
ports:
- "5432:5432"
pgadmin:
image: dpage/pgadmin4:latest
container_name: pgadmin_dc
environment:
PGADMIN_DEFAULT_EMAIL: lisywork@qq.com #在此填写pgAdmin登录账户邮箱
PGADMIN_DEFAULT_PASSWORD: 123456 #在此填写pgAdmin密码
ports:
- "5050:80"
volumes:
pgdata:
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emqx
version: '3.1'
services:
emqx:
image: emqx/emqx
container_name: emqx
restart: always
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
ports:
- 18083:18083
- 1883:1883
- 4369:4369
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minio
version: '3.1'
services:
minio:
#image: minio/minio:RELEASE.2020-09-08T23-05-18Z
image: minio/minio:RELEASE.2022-01-27T03-53-02Z
container_name: minio
restart: always
deploy:
resources:
limits:
cpus: '0.25'
memory: 512M
volumes:
- ./data:/data
- ./config:/root/.minio
#command: server /data --address ":9120"
command: server /data --console-address ":9120" --address ":9000"
environment:
MINIO_ACCESS_KEY: minioadmin
MINIO_SECRET_KEY: minioadmin
ports:
- 19120:9120
- 19000:9000
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prometheus
version: '3.1'
services:
prometheus:
image: prom/prometheus
container_name: prometheus
volumes:
- ./config/prometheus.yml:/etc/prometheus/prometheus.yml
- ./config/hoststats-alert.rules:/etc/prometheus/rules/hoststats-alert.rules
deploy:
resources:
limits:
cpus: '0.25'
memory: 1024M
ports:
- 19090:9090
grafana:
image: grafana/grafana
container_name: grafana
deploy:
resources:
limits:
cpus: '0.25'
memory: 1024M
ports:
- 3001:3000
mysqld-exporter:
image: prom/mysqld-exporter
container_name: mysqld-exporter
environment:
DATA_SOURCE_NAME: "root:123456@(192.168.6.216:3306)/"
ports:
- 9104:9104
redis-exporter:
image: oliver006/redis_exporter
container_name: redis-exporter
environment:
REDIS_ADDR: redis://192.168.6.216:6379
REDIS_PASSWORD: 123456
ports:
- 9121:9121
alertmanager:
image: prom/alertmanager
container_name: alertmanager
volumes:
- ./config/alertmanager.yml:/etc/prometheus/rules.yml
command:
- "--config.file=/etc/prometheus/rules.yml"
ports:
- 9093:9093
// config/prometheus.yml
# 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: ['192.168.6.216:9093']
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
- /etc/prometheus/rules/*.rules
#- "server_other.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'.
static_configs:
- targets: ["localhost:9090"]
- job_name: "lisymac"
static_configs:
- targets: ["192.168.6.216:9100"]
- job_name: "mysqld"
static_configs:
- targets: ["192.168.6.216:9104"]
- job_name: "redis"
static_configs:
- targets: ["192.168.6.216:9121"]
- job_name: minio-job
bearer_token: eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJleHAiOjQ3OTY4NzAyMDEsImlzcyI6InByb21ldGhldXMiLCJzdWIiOiJtaW5pb2FkbWluIn0.JSHo843-AMFrBREpeF0PgGMywrhQCUIbz_jryiHDytMWvOcybOub_ivT_KWPi0BeuVTH7PuYDANJ9na21eGPSw
metrics_path: /minio/v2/metrics/cluster
static_configs:
- targets: ['192.168.6.216:9120']
#- job_name: "nacos"
#metrics_path: '/nacos/actuator/prometheus'
#static_configs:
#- targets: ["192.168.111.133:8848"]
//config/alertmanager.yml
global:
# 告警超时时间
resolve_timeout: 5m
# 发送者邮箱地址
smtp_from: 'test@163.com'
# 邮箱smtp服务器地址及端口
smtp_smarthost: 'smtp.163.com:465'
# 发送者邮箱账号
smtp_auth_username: 'test@163.com'
# 发送者邮箱密码，这里填入第一步中获取的授权码
smtp_auth_password: '123456'
# 是否使用tls
smtp_require_tls: false
smtp_hello: '163.com'
# 路由配置,设置报警的分发策略，它是一个树状结构，按照深度优先从左向右的顺序进行匹配。
route:
# 用于将传入警报分组在一起的标签。
# 基于告警中包含的标签，如果满足group_by中定义标签名称，那么这些告警将会合并为一个通知发送给接收器。
group_by: ['alertname']
# 发送通知的初始等待时间
group_wait: 30s
# 在发送有关新警报的通知之前需要等待多长时间
group_interval: 5m
# 如果已发送通知，则在再次发送通知之前要等待多长时间，通常约3小时或更长时间
repeat_interval: 30s
# 接受者名称
receiver: '163.email'
# 配置告警消息接受者信息，例如常用的 email、wechat、slack、webhook 等消息通知方式
receivers:
- name: '163.email'
email_configs:
# 配置接受邮箱地址
- to : 'ddd@qq.com'
//config/hoststats-alert.rules
groups:
- name: server_status # 组的名字，在这个文件中必须要唯一
rules:
- alert: redisDown # 告警的名字，在组中需要唯一
expr: redis_up == 0 # 表达式, 执行结果为true: 表示需要告警
for: 1m # 超过多少时间才认为需要告警(即up==0需要持续的时间)
labels:
severity: warning # 定义标签
annotations:
summary: "服务 {{ $labels.instance }} 监控的redis下线了"
description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes."
- alert: mysqlDown # 告警的名字，在组中需要唯一
expr: mysql_up == 0 # 表达式, 执行结果为true: 表示需要告警
for: 1m # 超过多少时间才认为需要告警(即up==0需要持续的时间)
labels:
severity: warning # 定义标签
annotations:
summary: "服务 {{ $labels.instance }} 监控的mysql下线了"
description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes."
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version: '3.1'
services:
registry:
restart: always
image: registry:2
ports:
- 15000:5000
#environment:
#REGISTRY_HTTP_TLS_CERTIFICATE: /certs/domain.crt
#REGISTRY_HTTP_TLS_KEY: /certs/domain.key
#REGISTRY_AUTH: htpasswd
#REGISTRY_AUTH_HTPASSWD_PATH: /auth/htpasswd
#REGISTRY_AUTH_HTPASSWD_REALM: Registry Realm
volumes:
- ./data:/var/lib/registry
#- ./certs:/certs
#- ./auth:/auth
frontend:
image: konradkleine/docker-registry-frontend:v2
ports:
- 8082:80
# volumes:
# - ./certs/frontend.crt:/etc/apache2/server.crt:ro
# - ./certs/frontend.key:/etc/apache2/server.key:ro
environment:
- ENV_DOCKER_REGISTRY_HOST=192.168.111.133
- ENV_DOCKER_REGISTRY_PORT=15000
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kafka
version: "3"
services:
zookeeper:
image: 'bitnami/zookeeper:latest'
ports:
- '2181:2181'
environment:
- ALLOW_ANONYMOUS_LOGIN=yes
kafka:
image: 'bitnami/kafka:latest'
ports:
- '9092:9092'
environment:
- KAFKA_BROKER_ID=1
- KAFKA_CFG_LISTENERS=PLAINTEXT://:9092
- KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://127.0.0.1:9092
- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
- ALLOW_PLAINTEXT_LISTENER=yes
depends_on:
- zookeeper
volumes:
- ./kafka-data:/bitnami/kafka
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上次更新: 2024/01/07, 07:44:52