APM工具skywalking部署

一 整体架构

整个架构，分成上、下、左、右四部分：

• 上部分 Agent ：负责从应用中，收集链路信息，发送给 SkyWalking OAP 服务器。目前支持 SkyWalking、Zikpin、Jaeger 等提供的 Tracing 数据信息。而我们目前采用的是，SkyWalking Agent 收集 SkyWalking Tracing 数据，传递给服务器。
• 下部分 SkyWalking OAP ：负责接收 Agent 发送的 Tracing 数据信息，然后进行分析(Analysis Core) ，存储到外部存储器( Storage )，最终提供查询( Query )功能。
• 右部分 Storage ：Tracing 数据存储。目前支持 ES、MySQL、Sharding Sphere、TiDB、H2 多种存储器。而我们目前采用的是 ES ，主要考虑是 SkyWalking 开发团队自己的生产环境采用 ES 为主。
• 左部分 SkyWalking UI ：负责提供控台，查看链路等等。

二 安装

已验证skywalking9.6.0，centos7.0， MySQL8.0.26

2.1 jdk安装

• Skywalking9.6.0需要jdk9+及以上

  • 下载解压到/usr/local/java/jdk11
  • 配置环境变量

# 打开文件
vim /etc/profile
# 在文件最后加上
JAVA_HOME=/usr/local/java/jdk11
PATH=$PATH:$JAVA_HOME/bin
# 保存退出
# 应用修改
source /etc/profile
# 验证：
java -version

2.2 安装skywalking

• 下载安装包官网（慢），推荐清华源
• 解压放置路径/usr/local/skywalking

2.2.1 运行

1. 进入/usr/local/skywalking/bin目录

   运行oapService

   ./oapService.sh &

   运行ui webappService,默认端口8080

   ./webappService.sh &

2. 验证运行结果

   [root@localhost bin]# jps
   6099 Jps
   18824 OAPServerStartUp
   9817 ApplicationStartUp
   # 查看访问
   [root@localhost bin]# curl localhost:8080

   浏览器访问IP:8080(防火墙开启端口)

2.2.2 结果

三 配置

3.1 数据库

1. skywalking 默认使用h2数据库，基于内容的数据库，重启服务后数据重置,修改存储，支持数据持久化

2. 修改/usr/local/skywalking/config/application.yaml

   # line 159
   storage:
     selector: ${SW_STORAGE:h2}

   ​

3. 修改为mysql ,我这里用的MySQL8.0.26

   # line 159
   storage:
     selector: ${SW_STORAGE:mysql}
     # line 191 变更自己的库名，添加驱动包名
       mysql:
       properties:
         jdbcUrl: ${SW_JDBC_URL:"jdbc:mysql://yourIP:3306/swtest?rewriteBatchedStatements=true&allowMultiQueries=true"}
         dataSource.user: ${SW_DATA_SOURCE_USER:root}
         dataSource.password: ${SW_DATA_SOURCE_PASSWORD:your password}
         dataSource.cachePrepStmts: ${SW_DATA_SOURCE_CACHE_PREP_STMTS:true}
         dataSource.prepStmtCacheSize: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_SIZE:250}
         dataSource.prepStmtCacheSqlLimit: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_LIMIT:2048}
         dataSource.useServerPrepStmts: ${SW_DATA_SOURCE_USE_SERVER_PREP_STMTS:true}
       metadataQueryMaxSize: ${SW_STORAGE_MYSQL_QUERY_MAX_SIZE:5000}
       maxSizeOfBatchSql: ${SW_STORAGE_MAX_SIZE_OF_BATCH_SQL:2000}
       asyncBatchPersistentPoolSize: ${SW_STORAGE_ASYNC_BATCH_PERSISTENT_POOL_SIZE:4}
       driver: com.mysql.cj.jdbc.Driver
       # 保存退出，配置修改完成

   ​

4. 添加MySQL8驱动包到路径/usr/local/skywalking/oap-libs/下

5. 重启oapService服务验证，是否正常运行

   1. jps
   2. kill -9 pid （oapService的）
   3. 重启oapService

3.2 访问端口修改

1. 修改文件/usr/local/skywalking/webapp/application
2. 重启webappService服务
   1. jps
   2. kill -9 pid（webappService的）
   3. 重启webappService

四 监控

1. Prometheus 节点导出器从虚拟机收集指标数据。
2. OpenTelemetry Collector 通过 Prometheus Receiver 从 node-exporter 获取指标，并通过 OpenTelemetry gRPC 导出器将指标推送到 SkyWalking OAP Server。
3. SkyWalking OAP Server 使用 MAL 解析表达式，以过滤/计算/聚合和存储结果。

4.1 self-observability自监控

4.1.1 节点导出器

1. 修改配置文件/usr/local/skywalking/config/application.yaml

   # line 452
   telemetry:
     selector: ${SW_TELEMETRY: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:""}

   ​

2. 重启oapService服务。

4.1.2 节点收集器

1. 安装OpenTelemetry Collector

   # RPM Installation
   sudo yum update
   sudo yum -y install wget systemctl
   wget https://github.com/open-telemetry/opentelemetry-collector-releases/releases/download/v0.89.0/otelcol_0.89.0_linux_amd64.rpm
   sudo rpm -ivh otelcol_0.89.0_linux_amd64.rpm

   ​

2. 修改OpenTelemetry Collector配置文件

   1. 创建自己的配置文件otel-collection-config.yaml (/etc/otelcol/)

      receivers:
        prometheus:
          config:
            scrape_configs:
              - job_name: "skywalking-so11y" 
                scrape_interval: 10s
                static_configs:
                  - targets: ["0.0.0.0:1234"]
                    labels:
                      host_name: vmlinux
                      service: self-observability
      processors:
        batch:
      
      exporters:
        otlp:
          endpoint: "your IP:11800" # The OAP Server address
          tls:
            insecure: true
        logging:
          loglevel: debug
      service:
        pipelines:
          metrics:
            receivers: [prometheus]
            processors: [batch]
            exporters: [otlp, logging]

      ​

   2. 修改OpenTelemetry Collector启动记载配置文件/etc/otelcol/otelcol.conf指向新建的otel-collection-config.yaml

      # Systemd environment file for the otelcol service
      # Command-line options for the otelcol service.
      # Run `/usr/bin/otelcol --help` to see all available options.
      # OTELCOL_OPTIONS="--config=/etc/otelcol/config.yaml"
      OTELCOL_OPTIONS="--config=/etc/otelcol/otel-collector-config.yaml"

      ​

   3. 重启OpenTelemetry Collector

      systemctl restart otelcol

4.1.3 访问查看

4.2 基础设施监控-Linux

4.2.1 节点导出器

1. 安装并运行节点导出器

wget https://github.com/prometheus/node_exporter/releases/download/v1.7.0/node_exporter-1.7.0.linux-amd64.tar.gz
tar xvfz node_exporter-1.7.0.linux-amd64.tar.gz
mkdir /usr/local/skywalking/exporter
mv node_exporter-1.7.0.linux-amd6 /usr/local/skywalking/exporter/node_exporter
cd node_exporter
nohup ./node_exporter > /usr/local/skywalking/exporter/node_exporter/node_exporter.log 2>&1 &
# 验证
curl 127.0.0.1:9100

4.2.2 节点收集器

1. 修改OpenTelemetry Collector配置文件otel-collection-config.yaml

receivers:
  prometheus:
    config:
      scrape_configs:
        - job_name: "vm-monitoring"
          scrape_interval: 10s
          static_configs:
            - targets: ["0.0.0.0:9100"]
              labels:
                node_identifier_host_name: vm-machine
        - job_name: "skywalking-so11y"
          scrape_interval: 10s
          static_configs:
            - targets: ["0.0.0.0:1234"]
              labels:
                host_name: vmlinux
                service: self-observability
processors:
  batch:

exporters:
  otlp:
    endpoint: "you IP:11800" # The OAP Server address
    tls:
      insecure: true
  logging:
    loglevel: debug
service:
  pipelines:
    metrics:
      receivers: [prometheus]
      processors: [batch]
      exporters: [otlp, logging]

2. 重启OpenTelemetry Collector

systemctl restart otelcol

4.2.3 查看访问

4.3 数据库-Redis

4.3.1 节点导出器

wget https://github.com/oliver006/redis_exporter/releases/download/v1.55.0/redis_exporter-v1.55.0.linux-amd64.tar.gz
tar xvfz redis_exporter-v1.55.0.linux-amd64.tar.gz
mv node_exporter-1.7.0.linux-amd6 /usr/local/skywalking/exporter/redis_exporter
cd redis_exporter
nohup ./redis_exporter -redis.password="your password" > /usr/local/skywalking/exporter/redis_exporter/redis_exporter.log 2>&1 &
# 验证
curl 127.0.0.1:9100

4.3.2 节点导入器

1. 修改OpenTelemetry Collector配置文件otel-collection-config.yaml

   receivers:
     prometheus:
       config:
         scrape_configs:
           - job_name: "vm-monitoring"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:9100"]
                 labels:
                   node_identifier_host_name: vm-machine
           - job_name: "skywalking-so11y"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:1234"]
                 labels:
                   host_name: vmlinux
                   service: self-observability
           - job_name: "redis-monitoring"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:9121"]
                 labels:
                   host_name: redis
   processors:
     batch:
   
   exporters:
     otlp:
       endpoint: "your IP:11800" # The OAP Server address
       tls:
         insecure: true
     logging:
       loglevel: debug
   service:
     pipelines:
       metrics:
         receivers: [prometheus]
         processors: [batch]
         exporters: [otlp, logging]

   ​

2. 重启OpenTelemetry Collector

   systemctl restart otelcol

   ​

4.3.3 访问查看

4.4 数据库-MySQL

4.4.1 节点导出器

1. 创建MySQL监控账号并授权

CREATE USER 'mysql_exporter'@'%' IDENTIFIED BY 'your password' WITH MAX_USER_CONNECTIONS 3;
GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'mysql_exporter'@'%';
FLUSH PRIVILEGES;

2. mysqld_exporter.conf

[client]
user=mysql_exporter
password=your password

3. 启动mysql_exporter

wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.15.0/mysqld_exporter-0.15.0.linux-amd64.tar.gz
tar xvfz mysqld_exporter-0.15.0.linux-amd64.tar.gz
mv mysqld_exporter-0.15.0.linux-amd64 /usr/local/skywalking/exporter/mysqld_exporter
cd mysqld_exporter
# 创建配置MySQL监控账号的文件/usr/local/skywalking/exporter/mysqld_exporter/mysqld_exporter.conf
nohup ./mysqld_exporter --config.my-cnf="mysqld_exporter.conf" > /usr/local/skywalking/exporter/mysql_exporter/mysql_exporter.log 2>&1 &
# 验证
curl 127.0.0.1:9104

4.4.2 节点接收器

1. 修改OpenTelemetry Collector配置文件otel-collection-config.yaml

   receivers:
     prometheus:
       config:
         scrape_configs:
           - job_name: "vm-monitoring"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:9100"]
                 labels:
                   node_identifier_host_name: vm-machine
           - job_name: "skywalking-so11y"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:1234"]
                 labels:
                   host_name: vmlinux
                   service: self-observability
           - job_name: "mysql-monitoring"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:9104"]
                 labels:
                   host_name: mysql8
           - job_name: "redis-monitoring"
             scrape_interval: 10s
             static_configs:
               - targets: ["0.0.0.0:9121"]
                 labels:
                   host_name: redis
   
   processors:
     batch:
   
   exporters:
     otlp:
       endpoint: "your IP:11800" # The OAP Server address
       tls:
         insecure: true
     logging:
       loglevel: debug
   service:
     pipelines:
       metrics:
         receivers: [prometheus]
         processors: [batch]
         exporters: [otlp, logging]

   2. 重启OpenTelemetry Collector

      systemctl restart otelcol

      ​

4.4.3 访问查看