微服务异常太乱,我们如何分类?
Elastic APM 是基于 Elastic Stack 构建的应用性能监控系统。通过 Elastic APM 可以监控应用程序,收集有关请求的响应时间、数据库查询、高速缓存调用、外部 HTTP 请求等的详细性能信息,这样可以更快地查明并修复性能问题。
Elastic APM 还会自动收集未处理的错误和异常,错误主要基于堆栈跟踪进行分组,因此可以识别出现的新错误,并密切关注特定错误发生的次数。
Elastic APMkibana
Kibana 是开源的分析和可视化平台,旨在与 Elasticsearch 协同工作,可以通过 Kibana 搜索、查看 Elasticsearch 中存储的数据,此处用于可视化 Elasticsearch 中存储的 APM 数据
目录
mkdir /app
cd /app
下载
wget https://artifacts.elastic.co/downloads/kibana/kibana-6.5.4-linux-x86_64.tar.gz
解压
tar -zxvf kibana-6.5.4-linux-x86_64.tar.gz
cd kibana-6.5.4-linux-x86_64/
配置
vi config/kibana.yml
[root@JD kibana-6.5.4-linux-x86_64]# vi config/kibana.yml
server.port: 5601
server.host: "0.0.0.0"
elasticsearch.url: "http://47.99.88.28:9200"
启动
nohup ./bin/kibana &
访问Kibana
imageAPM监控
image搭建apm-server
APM Server 是用 Go 编写的开源应用程序,通常运行在专用服务器上,默认监听端口 8200 ,并通过 JSON HTTP API 从 agent 接收数据,然后根据该数据创建文档并将其存储在 Elasticsearch 中。
wget https://artifacts.elastic.co/downloads/apm-server/apm-server-6.5.4-linux-x86_64.tar.gz
配置文件
[root@demo03 apm-server-6.5.4-linux-x86_64]# vi apm-server.yml
apm-server:
# Defines the host and port the server is listening on. use "unix:/path/to.sock" to listen on a unix domain socket.
host: "0.0.0.0:8200"
run:
enabled: true
output.elasticsearch:
# Array of hosts to connect to.
# Scheme and port can be left out and will be set to the default (http and 9200)
# In case you specify and additional path, the scheme is required: http://localhost:9200/path
# IPv6 addresses should always be defined as: https://[2001:db8::1]:9200
hosts: ["47.99.88.28:9200"]
indices:
- index: "apm-%{[beat.version]}-sourcemap"
when.contains:
processor.event: "sourcemap"
- index: "apm-%{[beat.version]}-error-%{+yyyy.MM.dd}"
when.contains:
processor.event: "error"
- index: "apm-%{[beat.version]}-transaction-%{+yyyy.MM.dd}"
when.contains:
processor.event: "transaction"
- index: "apm-%{[beat.version]}-span-%{+yyyy.MM.dd}"
when.contains:
processor.event: "span"
- index: "apm-%{[beat.version]}-metric-%{+yyyy.MM.dd}"
when.contains:
processor.event: "metric"
- index: "apm-%{[beat.version]}-onboarding-%{+yyyy.MM.dd}"
when.contains:
processor.event: "onboarding"
启动
nohup ./apm-server -e >&/dev/null &
下载
cd app/agent
wget https://repo1.maven.org/maven2/co/elastic/apm/elastic-apm-agent/1.4.0/elastic-apm-agent-1.4.0.jar
应用埋点APM agent
APM agent 是使用与服务相同的语言编写的开源库,可以像安装其他库一样将它们安装到服务中,agent 将检测服务的代码并在运行时收集性能数据和错误,这些数据缓冲一小段时间并发送到 APM server。
#!/bin/bash
cs=`echo ../lib/*jar | sed 's/ /:/g'`
export JAVA_OPTS='-javaagent:/app/agent/elastic-apm-agent-1.4.0.jar -Delastic.apm.service_name=USER-CENTER -Delastic.apm.server_url=http://192.168.235.129:8200 -Delastic.apm.secret_token= -Delastic.apm.application_packages=com.open.capacity -XX:+UseG1GC -Xmx400M -Xms400M -XX:MaxMetaspaceSize=128M -XX:MetaspaceSize=128M -XX:MaxGCPauseMillis=100 -XX:InitiatingHeapOccupancyPercent=45 -XX:+ParallelRefProcEnabled -XX:MaxTenuringThreshold=3 -XX:+AlwaysPreTouch -XX:+UseStringDeduplication -XX:StringDeduplicationAgeThreshold=3 -XX:-OmitStackTraceInFastThrow -Djava.security.egd=file:/dev/./urandom -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCApplicationStoppedTime -XX:+PrintGCApplicationConcurrentTime -XX:+PrintTenuringDistribution -XX:+PrintClassHistogramBeforeFullGC -XX:+PrintClassHistogramAfterFullGC -Xloggc:/tmp/logs/gc_%p.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/logs -XX:ErrorFile=/tmp/logs/hs_error_pid%p.log -Djava.rmi.server.hostname=127.0.0.1 -Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=2199 -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false '
nohup java -server $JAVA_OPTS -cp .:$cs com.open.capacity.UserCenterApp &>/dev/null & echo $! >pid&
#java -server $JAVA_OPTS -cp .:$cs com.open.capacity.UserCenterApp & echo $! >pid&
监控大盘
imageSQL语句
SQL语句界面错误列表
错误列表界面错误统计
错误统计界面dashboard
dashboard界面service
service界面来源OCP开源项目教程文档:https://www.kancloud.cn/owenwangwen/open-capacity-platform/1801099
文末
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