【docker】Skywalking 8.5.0 部署

一、 docker部署SkyWalking

使用8.5.0-ese6版本，H2数据存储

• 拉取镜像

docker pull apache/skywalking-base:8.5.0-es6
docker pull apache/skywalking-oap-server:8.5.0-es6
docker pull apache/skywalking-ui:8.5.0

• 创建容器

# 服务端
docker run --name oap --restart always -p 1234:1234 -p 11800:11800 -p 12800:12800 -d apache/skywalking-oap-server:8.5.0-es6
# UI端
docker run --name oap-ui --restart always -p 8080:8080 --link oap:oap -e SW_OAP_ADDRESS=oap:12800 -d apache/skywalking-ui:8.5.0

• 访问地址：http://127.0.0.1:8080

二、 Spring添加agent

• skywalking包下载地址

https://archive.apache.org/dist/skywalking/8.5.0/apache-skywalking-apm-8.5.0.tar.gz

• 拷贝压缩包内agent到spring项目目录下，修改config/agent.config

collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}
# 为了支持log4j2，日志采集
plugin.toolkit.log.grpc.reporter.server_host=${SW_GRPC_LOG_SERVER_HOST:127.0.0.1}
plugin.toolkit.log.grpc.reporter.server_port=${SW_GRPC_LOG_SERVER_PORT:11800}
plugin.toolkit.log.grpc.reporter.max_message_size=${SW_GRPC_LOG_MAX_MESSAGE_SIZE:10485760}
plugin.toolkit.log.grpc.reporter.upstream_timeout=${SW_GRPC_LOG_GRPC_UPSTREAM_TIMEOUT:30}

• 创建spring容器

docker run --name ml --restart always -p 8080:8080 -v /server:/server -e TZ=Asia/Shanghai -d adoptopenjdk/openjdk8-openj9 java -javaagent:/server/agent/skywalking-agent.jar -Dskywalking.agent.service_name=serverName -jar /server/application.jar --spring.config.location=/server/application.properties

image.png

三、 skywalking 日志采集

pom.xml添加

       <!--skywalking-->
       <dependency>
           <groupId>org.apache.skywalking</groupId>
           <artifactId>apm-toolkit-trace</artifactId>
           <version>8.5.0</version>
       </dependency>
       <dependency>
           <groupId>org.apache.skywalking</groupId>
           <artifactId>apm-toolkit-log4j-2.x</artifactId>
           <version>8.5.0</version>
       </dependency>

在resources目录下，创建log4j2.xml

   <?xml version="1.0" encoding="UTF-8"?>
<Configuration status="info">
   <Appenders>
       <Console name="Console" target="SYSTEM_OUT">
           <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS}{GMT+8} [%t] %-5level %logger{36} [%traceId] - %msg%n"/>
       </Console>
       <GRPCLogClientAppender name="grpc-log">
           <PatternLayout pattern="%msg%n"/>
       </GRPCLogClientAppender>

       <RollingRandomAccessFile name="randomFile" fileName="/server/log/ml.log" filePattern="/server/log/ml-%d{yyyy-MM-dd}-%i.log">
           <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS}{GMT+8} [%t] %-5level %logger{36} [%traceId] - %msg%n"/>
           <Policies>
               <TimeBasedTriggeringPolicy interval="1"/>
               <SizeBasedTriggeringPolicy size="10 MB"/>
           </Policies>
       </RollingRandomAccessFile>
       <Async name="asyncAppender">
           <AppenderRef ref="randomFile"/>
       </Async>
   </Appenders>
   <Loggers>
       <Root level="info">
           <AppenderRef ref="Console"/>
           <AppenderRef ref="grpc-log"/>
           <AppenderRef ref="asyncAppender"/>
       </Root>
   </Loggers>
</Configuration>

使用log4j

private final Logger logger = LogManager.getLogger(LogManager.ROOT_LOGGER_NAME);

image.png

四、 启动自检测

• 修改config/application.yml文件telemetry配置

prometheus-fetcher:
 selector: ${SW_PROMETHEUS_FETCHER:default} # 改成defaulg
 default:
   enabledRules: ${SW_PROMETHEUS_FETCHER_ENABLED_RULES:"self"}

telemetry:
 selector: ${SW_TELEMETRY:prometheus} # 改成prometheus
 none:
 prometheus:
   host: ${SW_TELEMETRY_PROMETHEUS_HOST:0.0.0.0}
   port: ${SW_TELEMETRY_PROMETHEUS_PORT:1234}
   sslEnabled: ${SW_TELEMETRY_PROMETHEUS_SSL_ENABLED:false}
   sslKeyPath: ${SW_TELEMETRY_PROMETHEUS_SSL_KEY_PATH:""}
   sslCertChainPath: ${SW_TELEMETRY_PROMETHEUS_SSL_CERT_CHAIN_PATH:""}

• 重启oap服务

docker restart oap

image.png