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
# 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
2.2.1 运行
-
./oapService.sh &
./webappService.sh &
-
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
2.2.2 结果
三 配置
3.1 数据库
-
修改/usr/local/skywalking/config/application.yaml
# line 159 storage: selector: ${SW_STORAGE:h2}
-
# 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
3.2 访问端口修改
四 监控
- Prometheus 节点导出器从虚拟机收集指标数据。
- 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。
- 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
-
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:""}
-
重启oapService服务。
4.1.2 节点收集器
-
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
-
修改OpenTelemetry Collector配置文件
-
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]
-
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"
-
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
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
- 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]
- 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
-
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]
-
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
CREATE USER 'mysql_exporter'@'%' IDENTIFIED BY 'your password' WITH MAX_USER_CONNECTIONS 3;
GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'mysql_exporter'@'%';
FLUSH PRIVILEGES;
- mysqld_exporter.conf
[client]
user=mysql_exporter
password=your password
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
-
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]
-
重启OpenTelemetry Collector
systemctl restart otelcol
-
4.4.3 访问查看
原文地址:https://blog.csdn.net/gw_dragon/article/details/134581551
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