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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:
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:
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:
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。
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:
接下来,要选择存储了,支持的存储有:
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
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
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:
- xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
4.0.0 org.springframework.boot spring-boot-starter-parent 2.4.0 com.wt.monitor skywalking-alarm 1.0.0-SNAPSHOT skywalking-alarm 1.8 org.springframework.boot spring-boot-starter-web com.aliyun alibaba-dingtalk-service-sdk 1.0.1 commons-codec commons-codec 1.15 com.alibaba fastjson 1.2.75 org.projectlombok lombok true org.springframework.boot spring-boot-maven-plugin
可选依赖(不建议引入):
org.apache.skywalking server-core 8.2.0
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
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
编辑:陶家龙
出处:https://urlify.cn/Zfy2ia
文章标题:自从上了SkyWalking,睡觉真香!!!
文章网址:http://www.shufengxianlan.com/qtweb/news14/273864.html
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