skywalking 6.1 简明指南

skywalking

分布式系统的应用程序性能监视工具，专为微服务、云本机架构和基于容器（Docker、K8s、Mesos）架构而设计

背景

随着微服务架构的流行，一些微服务架构下的问题也会越来越突出，比如一个请求会涉及多个服务，而服务本身可能也会依赖其他服务，整个请求路径就构成了一个网状的调用链，而在整个调用链中一旦某个节点发生异常，整个调用链的稳定性就会受到影响，所以会深深的感受到 “银弹” 这个词是不存在的，每种架构都有其优缺点。

面对以上情况，我们就需要一些可以帮助理解系统行为、用于分析性能问题的工具，以便发生故障的时候，能够快速定位和解决问题，这时候 APM（应用性能管理）工具就该闪亮登场了。

安装

JDK 1.8

wget https://mirrors.huaweicloud.com/java/jdk/8u151-b12/jdk-8u151-linux-x64.tar.gz

tar zxvf jdk-8u151-linux-x64.tar.gz -C /usr/local

mv /usr/local/jdk1.8.0_151/ /usr/local/jdk

cat <<'EOF'> /etc/profile.d/java_home.sh

export JAVA_HOME=/usr/local/jdk

export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

export PATH=$JAVA_HOME/bin:$PATH

EOF

source /etc/profile

ElasticSearch 要求 6.3+

wget https://mirrors.tuna.tsinghua.edu.cn/elasticstack/6.x/yum/6.7.0/elasticsearch-6.7.0.rpm

rpm -ivh elasticsearch-6.7.0.rpm

修改配置文件

[root@elk ~]# egrep -v "^#|^$" /etc/elasticsearch/elasticsearch.yml

cluster.name: my-application

node.name: node-1

path.data: /home/work/elk

path.logs: /home/work/elk/logs

network.host: 0.0.0.0

http.port: 9200

启动服务

systemctl daemon-reload

systemctl enable elasticsearch.service

systemctl start elasticsearch.service

systemctl status elasticsearch.service

curl localhost:9200

skywalking 6.1 服务端

wget http://mirrors.tuna.tsinghua.edu.cn/apache/skywalking/6.1.0/apache-skywalking-apm-6.1.0.tar.gz

tar zxvf apache-skywalking-apm-6.1.0.tar.gz -C /usr/local

目录结构

[root@elk apache-skywalking-apm-bin]# ls -l

total 80

drwxrwxr-x 7 1001 1002   118 Apr 30 17:00 agent

drwxr-xr-x 2 root root   241 May  9 14:59 bin

drwxr-xr-x 2 root root   175 May 17 11:30 config

-rw-rw-r-- 1 1001 1002 27549 Apr 30 16:48 LICENSE

drwxrwxr-x 3 1001 1002  4096 May  9 14:59 licenses

drwxr-xr-x 2 root root    98 May  9 15:09 logs

drwxr-xr-x 2 root root    78 May  9 15:55 mesh-buffer

-rw-rw-r-- 1 1001 1002 29638 Apr 30 16:48 NOTICE

drwxrwxr-x 2 1001 1002  8192 Apr 30 17:07 oap-libs

-rw-rw-r-- 1 1001 1002  1978 Apr 30 16:48 README.txt

drwxr-xr-x 3 root root    88 May  9 15:55 trace-buffer

drwxr-xr-x 2 root root    53 May  9 14:59 webapp

配置文件

[root@elk config]# egrep -v "^#|^$" config/application.yml

cluster:

  standalone:

  # Please check your ZooKeeper is 3.5+, However, it is also compatible with ZooKeeper 3.4.x. Replace the ZooKeeper 3.5+

  # library the oap-libs folder with your ZooKeeper 3.4.x library.

core:

  default:

    # Mixed: Receive agent data, Level 1 aggregate, Level 2 aggregate

    # Receiver: Receive agent data, Level 1 aggregate

    # Aggregator: Level 2 aggregate

    role: ${SW_CORE_ROLE:Mixed} # Mixed/Receiver/Aggregator

    restHost: ${SW_CORE_REST_HOST:0.0.0.0}

    restPort: ${SW_CORE_REST_PORT:12800}

    restContextPath: ${SW_CORE_REST_CONTEXT_PATH:/}

    gRPCHost: ${SW_CORE_GRPC_HOST:0.0.0.0}

    gRPCPort: ${SW_CORE_GRPC_PORT:13800}

    downsampling:

    - Hour

    - Day

    - Month

    # Set a timeout on metric data. After the timeout has expired, the metric data will automatically be deleted.

    recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:90} # Unit is minute

    minuteMetricsDataTTL: ${SW_CORE_MINUTE_METRIC_DATA_TTL:90} # Unit is minute

    hourMetricsDataTTL: ${SW_CORE_HOUR_METRIC_DATA_TTL:36} # Unit is hour

    dayMetricsDataTTL: ${SW_CORE_DAY_METRIC_DATA_TTL:45} # Unit is day

    monthMetricsDataTTL: ${SW_CORE_MONTH_METRIC_DATA_TTL:18} # Unit is month

storage:

  elasticsearch:

    nameSpace: ${SW_NAMESPACE:""}

    #设置elk的ip

    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:172.16.103.64:9200}

    indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}

    indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}

receiver-sharing-server:

  default:

receiver-register:

  default:

receiver-trace:

  default:

    bufferPath: ${SW_RECEIVER_BUFFER_PATH:../trace-buffer/}  # Path to trace buffer files, suggest to use absolute path

    bufferOffsetMaxFileSize: ${SW_RECEIVER_BUFFER_OFFSET_MAX_FILE_SIZE:100} # Unit is MB

    bufferDataMaxFileSize: ${SW_RECEIVER_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB

    bufferFileCleanWhenRestart: ${SW_RECEIVER_BUFFER_FILE_CLEAN_WHEN_RESTART:false}

    sampleRate: ${SW_TRACE_SAMPLE_RATE:10000} # The sample rate precision is 1/10000. 10000 means 100% sample in default.

    slowDBAccessThreshold: ${SW_SLOW_DB_THRESHOLD:default:200,mongodb:100} # The slow database access thresholds. Unit ms.

receiver-jvm:

  default:

receiver-clr:

  default:

service-mesh:

  default:

    bufferPath: ${SW_SERVICE_MESH_BUFFER_PATH:../mesh-buffer/}  # Path to trace buffer files, suggest to use absolute path

    bufferOffsetMaxFileSize: ${SW_SERVICE_MESH_OFFSET_MAX_FILE_SIZE:100} # Unit is MB

    bufferDataMaxFileSize: ${SW_SERVICE_MESH_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB

    bufferFileCleanWhenRestart: ${SW_SERVICE_MESH_BUFFER_FILE_CLEAN_WHEN_RESTART:false}

istio-telemetry:

  default:

envoy-metric:

  default:

query:

  graphql:

    path: ${SW_QUERY_GRAPHQL_PATH:/graphql}

alarm:

  default:

telemetry:

  none:

启动服务端

bin/startup.sh

浏览器访问ip:8080 端口，用户密码 admin/admin

skywalking 6.1 客户端

[root@elk apache-skywalking-apm-bin]# egrep -v "^#|^$" agent/config/agent.config

agent.service_name=${SW_AGENT_NAME:Micros}

collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:172.16.103.64:13800}

logging.level=${SW_LOGGING_LEVEL:DEBUG}

传送到要监控的机器上

Java

https://github.com/apache/skywalking/blob/master/docs/en/setup/service-agent/java-agent/README.md

nodejs

https://github.com/SkyAPM/SkyAPM-nodejs

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