一、简介

很久之前写了一篇 《.Net Core 2.0+ InfluxDB+Grafana+App Metrics 实现跨平台的实时性能监控》关于NetCore性能监控的文章，使用Influxdb+AppMetrics进行项目性能监控，由于技术有限，在正式环境使用一段时间后，莫名的AppMetrics就没办法往influxdb中插入数据了，后来我也在App Metrics作者的github上留言了，并且作者也根据我阐述的情况做了测试，没有复现我的问题，最后这个问题就不了了知了，然后项目性能监控这个事搁置了一段时间，直到2018年参加上海.net线下技术沙龙，在会场首次听到skywalking，那时候skywalking正在做NetCore的支持，会后回到公司便开始关注skywalking，知道skywalking支持NetCore后，第一时间在公司的项目中运用了skywalking。

二、安装环境

要想使用skywalking，首先得安装相关环境。本文以windows为例。

1、安装java sdk（如果不会配置java环境的话，请参考百度百科：https://jingyan.baidu.com/article/08b6a591bdb18314a80922a0.html）

2、java环境安装完成后，下载Elasticsearch进行安装 https://www.elastic.co/downloads/elasticsearch （本文使用skywalking 6.x版本，6.x版本对应使用ES 6.x版本，请自行下载对应版本）

3、下载完Elasticsearch 后将Elasticsearch解压到安装位置，以我电脑为例，我安装在D:\Program Files

4、修改ES配置，进入ES文件下的：\config，找到elasticsearch.yml，打开后修改如下配置：

# ======================== Elasticsearch Configuration =========================

#

# NOTE: Elasticsearch comes with reasonable defaults for most settings.

#       Before you set out to tweak and tune the configuration, make sure you

#       understand what are you trying to accomplish and the consequences.

#

# The primary way of configuring a node is via this file. This template lists

# the most important settings you may want to configure for a production cluster.

#

# Please consult the documentation for further information on configuration options:

# https://www.elastic.co/guide/en/elasticsearch/reference/index.html

#

# ---------------------------------- Cluster -----------------------------------

#

# Use a descriptive name for your cluster:

#

cluster.name: myskywalking

#

# ------------------------------------ Node ------------------------------------

#

# Use a descriptive name for the node:

#

node.name: node-1

#

# Add custom attributes to the node:

#

#node.attr.rack: r1

#

# ----------------------------------- Paths ------------------------------------

#

# Path to directory where to store the data (separate multiple locations by comma):

#

path.data: D:/Program Files/elasticsearch-6.6.2/path/to/data

#

# Path to log files:

#

path.logs: D:/Program Files/elasticsearch-6.6.2/path/to/logs

#

# ----------------------------------- Memory -----------------------------------

#

# Lock the memory on startup:

#

bootstrap.memory_lock: false

#

# Make sure that the heap size is set to about half the memory available

# on the system and that the owner of the process is allowed to use this

# limit.

#

# Elasticsearch performs poorly when the system is swapping the memory.

#

# ---------------------------------- Network -----------------------------------

#

# Set the bind address to a specific IP (IPv4 or IPv6):

#

network.host: 0.0.0.0

http.port: 9200

http.cors.enabled: true 

http.cors.allow-origin: "*" 

http.cors.allow-methods: OPTIONS,HEAD,GET,POST,PUT,DELETE

http.cors.allow-headers: "X-Requested-With, Content-Type, Content-Length, X-Users"

#

# For more information, consult the network module documentation.

#

# --------------------------------- Discovery ----------------------------------

#

# Pass an initial list of hosts to perform discovery when new node is started:

# The default list of hosts is ["127.0.0.1", "[::1]"]

#

#discovery.zen.ping.unicast.hosts: ["host1", "host2"]

#

# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):

#

#discovery.zen.minimum_master_nodes: 

#

# For more information, consult the zen discovery module documentation.

#

# ---------------------------------- Gateway -----------------------------------

#

# Block initial recovery after a full cluster restart until N nodes are started:

#

#gateway.recover_after_nodes: 3

#

# For more information, consult the gateway module documentation.

#

# ---------------------------------- Various -----------------------------------

#

# Require explicit names when deleting indices:

#

#action.destructive_requires_name: true

修改好elasticsearch.yml文件后，打开cmd命令，进入到D:\Program Files\elasticsearch-6.6.2\bin，bin文件夹下，输入如下命令：  elasticsearch-service.bat install  将ES安装成windows，这样就可以方便系统重启后自动启动

然后将服务启动后即可

5、接下来下载skywalking，http://skywalking.apache.org/downloads/

选择版本为 ：6.0.0-GA 的下载

三、配置和效果

1、在本地电脑中创建一个文件夹（注意：本人亲自躺过的坑，skywalking服务必须放在无空格的文件夹，比如：Program Files这个文件是绝对不能放的，不然服务运行的时候只会一闪而过，连log日志都不会生成，切记！切记！切记！）

我在D盘下创建了一个叫skyworkingService文件，路径如下：D:\skyworkingService

将下好的skywalking解压到该目录下，命名为skywalking-apm-GA，路径如下：D:\skyworkingService\skywalking-apm-GA

接着，打开config文件，找到application.yml文件，修改其配置如下：

# Licensed to the Apache Software Foundation (ASF) under one

# or more contributor license agreements.  See the NOTICE file

# distributed with this work for additional information

# regarding copyright ownership.  The ASF licenses this file

# to you under the Apache License, Version 2.0 (the

# "License"); you may not use this file except in compliance

# with the License.  You may obtain a copy of the License at

#

#     http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

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.

#  zookeeper:

#    nameSpace: ${SW_NAMESPACE:""}

#    hostPort: ${SW_CLUSTER_ZK_HOST_PORT:localhost:2181}

#    #Retry Policy

#    baseSleepTimeMs: ${SW_CLUSTER_ZK_SLEEP_TIME:1000} # initial amount of time to wait between retries

#    maxRetries: ${SW_CLUSTER_ZK_MAX_RETRIES:3} # max number of times to retry

#  kubernetes:

#    watchTimeoutSeconds: ${SW_CLUSTER_K8S_WATCH_TIMEOUT:60}

#    namespace: ${SW_CLUSTER_K8S_NAMESPACE:default}

#    labelSelector: ${SW_CLUSTER_K8S_LABEL:app=collector,release=skywalking}

#    uidEnvName: ${SW_CLUSTER_K8S_UID:SKYWALKING_COLLECTOR_UID}

#  consul:

#    serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}

#     Consul cluster nodes, example: 10.0.0.1:8500,10.0.0.2:8500,10.0.0.3:8500

#    hostPort: ${SW_CLUSTER_CONSUL_HOST_PORT:localhost:8500}

core:

  default:

    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:11800}

    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:

  # h2:

    # driver: ${SW_STORAGE_H2_DRIVER:org.h2.jdbcx.JdbcDataSource}

    # url: ${SW_STORAGE_H2_URL:jdbc:h2:mem:skywalking-oap-db}

    # user: ${SW_STORAGE_H2_USER:sa}

 elasticsearch:

   nameSpace: ${SW_NAMESPACE:"myskywalking"}

   clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}

   indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}

   indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}

   # Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html

   bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests

   bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb

   flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests

   concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests

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.

receiver-jvm:

  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:

#receiver_zipkin:

#  default:

#    host: ${SW_RECEIVER_ZIPKIN_HOST:0.0.0.0}

#    port: ${SW_RECEIVER_ZIPKIN_PORT:9411}

#    contextPath: ${SW_RECEIVER_ZIPKIN_CONTEXT_PATH:/}

query:

  graphql:

    path: ${SW_QUERY_GRAPHQL_PATH:/graphql}

alarm:

  default:

telemetry:

  none:

 修改完成后，进入到bin文件中，右键单击startup.bat，以管理员权限运行，即可看到如下弹框

弹出这两个框说明服务已经启动了

这个时候访问http://localhost:8080，即可看到如下界面：

默认账号admin，密码admin，登录后看看到想要的监控数据和各服务直接的拓扑图，因为我的服务跑了一段时间，所以下面的界面是有数据的：

2、由于启动skywalking后会弹出两个命令窗口，所以如果运维人员不小心关了窗口的话服务自然就停掉了，所以为了避免这种问题，我们还可以将bin文件夹下的oapService.bat和webappService.bat进行配置，如下：

@REM

@REM  Licensed to the Apache Software Foundation (ASF) under one or more

@REM  contributor license agreements.  See the NOTICE file distributed with

@REM  this work for additional information regarding copyright ownership.

@REM  The ASF licenses this file to You under the Apache License, Version 2.0

@REM  (the "License"); you may not use this file except in compliance with

@REM  the License.  You may obtain a copy of the License at

@REM

@REM      http://www.apache.org/licenses/LICENSE-2.0

@REM

@REM  Unless required by applicable law or agreed to in writing, software

@REM  distributed under the License is distributed on an "AS IS" BASIS,

@REM  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

@REM  See the License for the specific language governing permissions and

@REM  limitations under the License.

@echo off

setlocal

set OAP_PROCESS_TITLE=Skywalking-Collector

set OAP_HOME=%~dp0%..

set OAP_OPTS="-Xms256M -Xmx512M -Doap.logDir=%OAP_HOME%\logs"

set CLASSPATH=%OAP_HOME%\config;.;

set CLASSPATH=%OAP_HOME%\oap-libs\*;%CLASSPATH%

if defined JAVA_HOME (

 set _EXECJAVA="%JAVA_HOME%\bin\javaw"

)

if not defined JAVA_HOME (

 echo "JAVA_HOME not set."

 set _EXECJAVA=javaw

)

start "%OAP_PROCESS_TITLE%" %_EXECJAVA% "%OAP_OPTS%" -cp "%CLASSPATH%" org.apache.skywalking.oap.server.starter.OAPServerStartUp

endlocal

oapService.bat

@REM

@REM  Licensed to the Apache Software Foundation (ASF) under one or more

@REM  contributor license agreements.  See the NOTICE file distributed with

@REM  this work for additional information regarding copyright ownership.

@REM  The ASF licenses this file to You under the Apache License, Version 2.0

@REM  (the "License"); you may not use this file except in compliance with

@REM  the License.  You may obtain a copy of the License at

@REM

@REM      http://www.apache.org/licenses/LICENSE-2.0

@REM

@REM  Unless required by applicable law or agreed to in writing, software

@REM  distributed under the License is distributed on an "AS IS" BASIS,

@REM  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

@REM  See the License for the specific language governing permissions and

@REM  limitations under the License.

@echo off

setlocal

set WEBAPP_PROCESS_TITLE=Skywalking-Webapp

set WEBAPP_HOME=%~dp0%..

set JARPATH=%WEBAPP_HOME%\webapp

set WEBAPP_LOG_DIR=%WEBAPP_HOME%\logs

if exist "%WEBAPP_LOG_DIR%" (

    mkdir "%WEBAPP_LOG_DIR%"

)

set LOG_FILE_LOCATION=%WEBAPP_LOG_DIR%\webapp.log

if defined JAVA_HOME (

 set _EXECJAVA="%JAVA_HOME%\bin\javaw"

)

if not defined JAVA_HOME (

 echo "JAVA_HOME not set."

 set _EXECJAVA=javaw

)

start "%WEBAPP_PROCESS_TITLE%" %_EXECJAVA%  -jar %JARPATH%/skywalking-webapp.jar --spring.config.location=%JARPATH%/webapp.yml --logging.file=%LOG_FILE_LOCATION%

endlocal

webappService.bat

其实只是将文件里的java改成了javaw，这样就可以在后台运行了，保存后再次运行startup.bat文件，这个时候界面上会有个cmd命令界面一闪而过，不要慌，我们打开资源管理器看看，会发现进程中多了两个名为“javaw.exe”的进程

这个时候访问：http://localhost:8080 一样可以看到上面的ui界面！

至此，skywalking的所有环境皆搭建完毕，接下来，在我们项目中添加skywalking的探针，方便skywalking收集我们项目中的数据

四、项目引用skywalking探针

新建一个NetCore的webapi，然后在引用中引用SkyWalking.AspNetCore，如图：

项目引用后，在Startup.cs中注入skywalking。

在头部引用：using SkyWalking.AspNetCore;

然后找到public void ConfigureServices(IServiceCollection services)下输入一下代码即可：

services.AddSkyWalking(option =>
{
       option.ApplicationCode = "AreaServer";
      option.DirectServers = 127.0.0.1:11800;
});

运行代码后，控制台内每隔几秒就会有以下信息输出

证明skywalking探针已经成功，接下来请求一下你的接口，然后进入skywalking的ui中看看你的成果吧！

原文地址：https://www.cnblogs.com/landonzeng/p/10616644.html

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