springcloud SkyWalking 搭建与集成

第一步：
docker-compose up -d elasticsearch sky-oap sky-ui

```
  elasticsearch:
    image: elasticsearch:7.17.6
    container_name: elasticsearch
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      # 设置集群名称
      cluster.name: elasticsearch
      # 以单一节点模式启动
      discovery.type: single-node
      ES_JAVA_OPTS: "-Xms512m -Xmx512m"
    volumes:
      - /docker/elk/elasticsearch/plugins:/usr/share/elasticsearch/plugins
      - /docker/elk/elasticsearch/data:/usr/share/elasticsearch/data
      - /docker/elk/elasticsearch/logs:/usr/share/elasticsearch/logs
    network_mode: "host"

sky-oap:
    image: apache/skywalking-oap-server:9.7.0
    container_name: sky-oap
    ports:
      - "11800:11800"
      - "12800:12800"
    environment:
      JAVA_OPTS: -Xms1G -Xmx2G
      #记录数据的有效期，单位天
      SW_CORE_RECORD_DATA_TTL: 7
      #分析指标数据的有效期，单位天
      SW_CORE_METRICS_DATA_TTL: 7
      SW_STORAGE: elasticsearch
      SW_STORAGE_ES_CLUSTER_NODES: 127.0.0.1:9200
      TZ: Asia/Shanghai
    network_mode: "host"

sky-ui:
    image: apache/skywalking-ui:9.7.0
    container_name: sky-ui
    ports:
      - "18080:18080"
    environment:
      SW_SERVER_PORT: 18080
      SW_OAP_ADDRESS: http://127.0.0.1:12800
      TZ: Asia/Shanghai
    depends_on:
      - sky-oap
    network_mode: "host"
```

2、服务配置pom文件：

<dependency>
                <groupId>org.apache.skywalking</groupId>
                <artifactId>apm-toolkit-logback-1.x</artifactId>
                <version>${skywalking-toolkit.version}</version>
            </dependency>
            <dependency>
                <groupId>org.apache.skywalking</groupId>
                <artifactId>apm-toolkit-trace</artifactId>
                <version>${skywalking-toolkit.version}</version>
            </dependency>
			
logback-skylog.xml（可以写个公用包存储例如：ruoyi-common-skylog）:
![](https://ooolo.net/usr/uploads/2026/04/2039620192.png)
```
<?xml version="1.0" encoding="UTF-8"?>

<appender name="console" class="ch.qos.logback.core.ConsoleAppender">
        <encoder class="ch.qos.logback.core.encoder.LayoutWrappingEncoder">
            <layout class="org.apache.skywalking.apm.toolkit.log.logback.v1.x.TraceIdPatternLogbackLayout">
                <pattern>[%tid] ${console.log.pattern}</pattern>
            </layout>
            <charset>utf-8</charset>
        </encoder>
    </appender>

<appender name="sky_log" class="org.apache.skywalking.apm.toolkit.log.logback.v1.x.log.GRPCLogClientAppender">
        <encoder class="ch.qos.logback.core.encoder.LayoutWrappingEncoder">
            <layout class="org.apache.skywalking.apm.toolkit.log.logback.v1.x.TraceIdPatternLogbackLayout">
                <pattern>[%tid] ${console.log.pattern}</pattern>
            </layout>
            <charset>utf-8</charset>
        </encoder>
    </appender>

```

3、安装skywalking agent

4、每个服务引入：
```
 
    <include resource="logback-skylog.xml"/>
```
并且pom引用：
![](https://ooolo.net/usr/uploads/2026/04/2594812743.png)
5、每个服务Dockerfile文件

添加
```
           -Dskywalking.agent.service_name=ruoyi-auth \
           -javaagent:/ruoyi/skywalking/agent/skywalking-agent.jar \
```

![](https://ooolo.net/usr/uploads/2026/04/2573022874.png)

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