除了应用指标监控以外,它还能对分布式调用链路进行追踪。类似功能的组件还有:Zipkin、Pinpoint、CAT 等。
上几张图,看看效果,然后再一步一步搭建并使用:
概念与架构
SkyWalking 是一个开源监控平台,用于从服务和云原生基础设施收集、分析、聚合和可视化数据。
SkyWalking 提供了一种简单的方法来维护分布式系统的清晰视图,甚至可以跨云查看。它是一种现代 APM,专门为云原生、基于容器的分布式系统设计。
SkyWalking 从三个维度对应用进行监视:
service(服务)
service instance(实例)
endpoint(端点)
服务和实例就不多说了,端点是服务中的某个路径或者说 URI:
SkyWalking allows users to understand the topology relationship between Services and Endpoints, to view the metrics of every Service/Service Instance/Endpoint and to set alarm rules.
SkyWalking 允许用户了解服务和端点之间的拓扑关系,查看每个服务/服务实例/端点的度量,并设置警报规则。
架构如下图:
SkyWalking 逻辑上分为四个部分:
Probes(探针)
Platform backend(平台后端)
Storage(存储)
UI
这个结构就很清晰了,探针就是 Agent 负责采集数据并上报给服务端,服务端对数据进行处理和存储,UI 负责展示。
下载与安装
SkyWalking 有两中版本,ES 版本和非 ES 版。如果我们决定采用 ElasticSearch 作为存储,那么就下载 ES 版本。
https://skywalking.apache.org/downloads/ https://archive.apache.org/dist/skywalking/
如上图:
agent 目录将来要拷贝到各服务所在机器上用作探针。
bin 目录是服务启动脚本。
config 目录是配置文件。
oap-libs 目录是 oap 服务运行所需的 jar 包。
webapp 目录是 web 服务运行所需的 jar 包。
接下来,要选择存储了,支持的存储有:
H2
ElasticSearch 6,7
MySQL
TiDB
InfluxDB
作为监控系统,首先排除 H2 和 MySQL,这里推荐 InfluxDB,它本身就是时序数据库,非常适合这种场景。但是 InfluxDB 我不是很熟悉,所以这里先用 ElasticSearch7。
https://github.com/apache/skywalking/blob/master/docs/en/setup/backend/backend-storage.md
①安装 ElasticSearch
链接如下:
https://www.elastic.co/guide/en/elasticsearch/reference/7.10/targz.html
# 启动 ./bin/elasticsearch -d -p pid # 停止 pkill -F pid
ElasticSearch 7.x 需要 Java 11 以上的版本,但是如果你设置了环境变量 JAVA_HOME 的话,它会用你自己的 Java 版本。
通常,启动过程中会报以下三个错误:
[1]: max file descriptors [4096] for elasticsearch process is too low, increase to at least [65535] [2]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] [3]: the default discovery settings are unsuitable for production use; at least one of [discovery.seed_hosts, discovery.seed_providers, cluster.initial_master_nodes] must be configured
解决方法:在 /etc/security/limits.conf 文件中追加以下内容。
* soft nofile 65536 * hard nofile 65536 * soft nproc 4096 * hard nproc 4096
可通过以下四个命令查看修改结果:
ulimit -Hn ulimit -Sn ulimit -Hu ulimit -Su
修改 /etc/sysctl.conf 文件,追加以下内容:
vm.max_map_count=262144
修改 ES 配置文件 elasticsearch.yml 取消注释,保留一个节点:
cluster.initial_master_nodes: ["node-1"]
为了能够 ip:port 方式访问,还需修改网络配置:
network.host: 0.0.0.0
修改完是这样的:
至此,ElasticSearch 算是启动成功了。一个节点还不够,这里用三个节点搭建一个集群。
192.168.100.14 config/elasticsearch.yml:
cluster.name: my-monitor node.name: node-1 network.host: 192.168.100.14 http.port: 9200 discovery.seed_hosts: ["192.168.100.14:9300", "192.168.100.15:9300", "192.168.100.19:9300"] cluster.initial_master_nodes: ["node-1"]
192.168.100.15 config/elasticsearch.yml:
cluster.name: my-monitor node.name: node-2 network.host: 192.168.100.15 http.port: 9200 discovery.seed_hosts: ["192.168.100.14:9300", "192.168.100.15:9300", "192.168.100.19:9300"] cluster.initial_master_nodes: ["node-1"]
192.168.100.19 config/elasticsearch.yml:
cluster.name: my-monitor node.name: node-3 network.host: 192.168.100.19 http.port: 9200 discovery.seed_hosts: ["192.168.100.14:9300", "192.168.100.15:9300", "192.168.100.19:9300"] cluster.initial_master_nodes: ["node-1"]
同时,建议修改三个节点 config/jvm.options:
-Xms2g -Xmx2g
依次启动三个节点:
pkill -F pid ./bin/elasticsearch -d -p pid
接下来,修改 skywalking下config/application.yml 中配置 es 地址即可:
storage: selector: ${SW_STORAGE:elasticsearch7} elasticsearch7: nameSpace: ${SW_NAMESPACE:""} clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:192.168.100.14:9200,192.168.100.15:9200,192.168.100.19:9200}
②安装 Agent
地址如下:
https://github.com/apache/skywalking/blob/v8.2.0/docs/en/setup/service-agent/java-agent/README.md
将 agent 目录拷贝至各服务所在的机器上:
scp -r ./agent chengjs@192.168.100.12:~/
这里,我将它拷贝至各个服务目录下:
plugins 是探针用到各种插件,SkyWalking 插件都是即插即用的,可以把 optional-plugins 中的插件放到 plugins 中。
修改 agent/config/agent.config 配置文件,也可以通过命令行参数指定。主要是配置服务名称和后端服务地址:
agent.service_name=${SW_AGENT_NAME:user-center} collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:192.168.100.17:11800}
当然,也可以通过环境变量或系统属性的方式来设置,例如:
export SW_AGENT_COLLECTOR_BACKEND_SERVICES=127.0.0.1:11800
最后,在服务启动的时候用命令行参数 -javaagent 来指定探针:
java -javaagent:/path/to/skywalking-agent/skywalking-agent.jar -jar yourApp.jar
例如:
java -javaagent:./agent/skywalking-agent.jar -Dspring.profiles.active=dev -Xms512m -Xmx1024m -jar demo-0.0.1-SNAPSHOT.jar
启动服务
修改 webapp/webapp.yml 文件,更改端口号及后端服务地址:
server: port: 9000 collector: path: /graphql ribbon: ReadTimeout: 10000 # Point to all backend's restHost:restPort, split by , listOfServers: 127.0.0.1:12800
启动服务:
bin/startup.sh
或者分别依次启动:
bin/oapService.sh bin/webappService.sh
查看 logs 目录下的日志文件,看是否启动成功。浏览器访问 :
http://127.0.0.1:9000
告警
编辑 alarm-settings.yml 设置告警规则和通知:
https://github.com/apache/skywalking/blob/v8.2.0/docs/en/setup/backend/backend-alarm.md
重点说下告警通知:
为了使用钉钉机器人通知,接下来,新建一个项目:
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.4.0</version> <relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.wt.monitor</groupId> <artifactId>skywalking-alarm</artifactId> <version>1.0.0-SNAPSHOT</version> <name>skywalking-alarm</name> <properties> <java.version>1.8</java.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>com.aliyun</groupId> <artifactId>alibaba-dingtalk-service-sdk</artifactId> <version>1.0.1</version> </dependency> <dependency> <groupId>commons-codec</groupId> <artifactId>commons-codec</artifactId> <version>1.15</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.75</version> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <optional>true</optional> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build> </project>
可选依赖(不建议引入):
<dependency <groupId>org.apache.skywalking</groupId> <artifactId>server-core</artifactId> <version>8.2.0</version> </dependency>
定义告警消息实体类:
package com.wt.monitor.skywalking.alarm.domain; import lombok.Data; import java.io.Serializable; /** * @author ChengJianSheng * @date 2020/12/1 */ @Data public class AlarmMessageDTO implements Serializable { private int scopeId; private String scope; /** * Target scope entity name */ private String name; private String id0; private String id1; private String ruleName; /** * Alarm text message */ private String alarmMessage; /** * Alarm time measured in milliseconds */ private long startTime; }
发送钉钉机器人消息:
package com.wt.monitor.skywalking.alarm.service; import com.dingtalk.api.DefaultDingTalkClient; import com.dingtalk.api.DingTalkClient; import com.dingtalk.api.request.OapiRobotSendRequest; import com.taobao.api.ApiException; import lombok.extern.slf4j.Slf4j; import org.apache.commons.codec.binary.Base64; import org.springframework.beans.factory.annotation.Value; import org.springframework.stereotype.Service; import javax.crypto.Mac; import javax.crypto.spec.SecretKeySpec; import java.io.UnsupportedEncodingException; import java.net.URLEncoder; import java.security.InvalidKeyException; import java.security.NoSuchAlgorithmException; /** * https://ding-doc.dingtalk.com/doc#/serverapi2/qf2nxq * @author ChengJianSheng * @data 2020/12/1 */ @Slf4j @Service public class DingTalkAlarmService { @Value("${dingtalk.webhook}") private String webhook; @Value("${dingtalk.secret}") private String secret; public void sendMessage(String content) { try { Long timestamp = System.currentTimeMillis(); String stringToSign = timestamp + "\n" + secret; Mac mac = Mac.getInstance("HmacSHA256"); mac.init(new SecretKeySpec(secret.getBytes("UTF-8"), "HmacSHA256")); byte[] signData = mac.doFinal(stringToSign.getBytes("UTF-8")); String sign = URLEncoder.encode(new String(Base64.encodeBase64(signData)),"UTF-8"); String serverUrl = webhook + "×tamp=" + timestamp + "&sign=" + sign; DingTalkClient client = new DefaultDingTalkClient(serverUrl); OapiRobotSendRequest request = new OapiRobotSendRequest(); request.setMsgtype("text"); OapiRobotSendRequest.Text text = new OapiRobotSendRequest.Text(); text.setContent(content); request.setText(text); client.execute(request); } catch (ApiException e) { e.printStackTrace(); log.error(e.getMessage(), e); } catch (NoSuchAlgorithmException e) { e.printStackTrace(); log.error(e.getMessage(), e); } catch (UnsupportedEncodingException e) { e.printStackTrace(); log.error(e.getMessage(), e); } catch (InvalidKeyException e) { e.printStackTrace(); log.error(e.getMessage(), e); } } }
AlarmController.java:
package com.wt.monitor.skywalking.alarm.controller; import com.alibaba.fastjson.JSON; import com.wt.monitor.skywalking.alarm.domain.AlarmMessageDTO; import com.wt.monitor.skywalking.alarm.service.DingTalkAlarmService; import lombok.extern.slf4j.Slf4j; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import java.text.MessageFormat; import java.util.List; /** * @author ChengJianSheng * @date 2020/12/1 */ @Slf4j @RestController @RequestMapping("/skywalking") public class AlarmController { @Autowired private DingTalkAlarmService dingTalkAlarmService; @PostMapping("/alarm") public void alarm(@RequestBody List<AlarmMessageDTO> alarmMessageDTOList) { log.info("收到告警信息: {}", JSON.toJSONString(alarmMessageDTOList)); if (null != alarmMessageDTOList) { alarmMessageDTOList.forEach(e->dingTalkAlarmService.sendMessage(MessageFormat.format("-----来自SkyWalking的告警-----\n【名称】: {0}\n【消息】: {1}\n", e.getName(), e.getAlarmMessage()))); } } }
参考文档:
https://skywalking.apache.org/ https://skywalking.apache.org/zh/\ https://github.com/apache/skywalking/tree/v8.2.0/docs https://archive.apache.org/dist/ https://www.elastic.co/guide/en/elasticsearch/reference/master/index.html https://www.elastic.co/guide/en/elasticsearch/reference/7.10/modules-discovery-bootstrap-cluster.html https://www.elastic.co/guide/en/elasticsearch/reference/7.10/modules-discovery-hosts-providers.html
作者:废物大师兄