微服务项目自从用了SkyWalking监控系统,睡觉也香了~
原文链接:https://cnblogs.com/cjsblog/p/14075486.html
SkyWalking 是一个应用性能监控系统,特别为微服务、云原生和基于容器(Docker, Kubernetes, Mesos)体系结构而设计。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




1. 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。
1.1. 架构
 
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

2. 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/


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
2.1. 安装ElasticSearch
https://www.elastic.co/guide/en/elasticsearch/reference/7.10/targz.html
# 启动-d -p pid# 停止pkill -F pid

ElasticSearch7.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:
[]: max file descriptors [4096] for elasticsearch process is too low, increase to at least [65535][]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144][]: 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 -Hnulimit -Snulimit -Huulimit -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-monitornode.name: node-1network.host: 192.168.100.14http.port: 9200discovery.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-monitornode.name: node-2network.host: 192.168.100.15http.port: 9200discovery.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-monitornode.name: node-3network.host: 192.168.100.19http.port: 9200discovery.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}
2.2.  安装Agent
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.jar3. 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: 9000collector:path: /graphqlribbon: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.shbin/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
4. 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
<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*/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*/public class DingTalkAlarmService {("${dingtalk.webhook}")private String webhook;("${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*/public class AlarmController {private DingTalkAlarmService dingTalkAlarmService;public void alarm( 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())));}}}

- END -
公众号后台回复「加群」加入一线高级工程师技术交流群,一起交流进步。
推荐阅读 Kubernetes 运维架构师实战集训营 31天拿下K8s含金量最高的CKA证书! 一个完整的、全面 k8s 化的集群稳定架构(值得借鉴) JAVA应用运维,线上故障排查全套路 K8s常见问题:Service 不能访问排查流程 Docker环境部署Prometheus+Grafana监控系统 Kubernetes 集群网络从懵圈到熟悉 超详细!Kubernetes 学习笔记总结 
点亮,服务器三年不宕机


