好久不見,前兩週經歷了人生第一次"偽牛市",基金和股市大起大落,更加堅信“你永遠賺不到超出你認知範圍之外的錢,除非靠著運氣”,老韭菜誠不欺我也。
當能力與野心不匹配,只能多看書,收割那些不求甚解的韭菜。
言歸正傳,本文聊一聊在ASP.NET Core3.1中整合ElasticSearch、Kibana日誌查詢系統。
我們為什麼需要ElasticSearch、Kibana?
成熟的應用程式,會在各個階段以各種姿勢記錄日誌,這些日誌包括(但不限於)nginx日誌、pod/Container、業務日誌。
ElasticSearch是一個高度可擴充套件的全文搜尋和分析引擎,使任何型別的日誌記錄變得容易,可訪問和可搜尋。ElasticSearch令人難以置信的速度和簡單的查詢語言,再加上Kibana的介面和圖形,構成了功能強大的日誌儲存和查詢搭檔。
1.在Docker中啟動ElasticSearch、Kibana
docker中啟動Elastcisearch、kibana最簡單的方式是建立docker-compose檔案,將原服務偵聽埠對映到宿主機埠。
version: '3.1'
services:
elasticsearch:
container_name: elasticsearch
image: elasticsearch:7.6.2
ports:
- 9200:9200
volumes:
- elasticsearch-data:/usr/share/elasticsearch/data
environment:
- xpack.monitoring.enabled=true
- xpack.watcher.enabled=false
- "ES_JAVA_OPTS=-Xms1g -Xmx1g"
- discovery.type=single-node
networks:
- elastic
kibana:
container_name: kibana
image: kibana:7.6.2
ports:
- 5601:5601
depends_on:
- elasticsearch
environment:
- ELASTICSEARCH_URL=http://localhost:9200
networks:
- elastic
networks:
elastic:
driver: bridge
volumes:
elasticsearch-data:
在後臺拉取映象,啟動容器:
docker-compose up -d
確認ElasticSearch,kibana啟動成功:
2. 使用ASP.NET Core和NLog向ES傳送日誌
VS Code建立.NetCore程式
dotnet new mvc --no-https -o Elastic.Kibana.NLog
cd Elastic.Kibana.NLog
新增NLog依賴包
dotnet add package NLog
dotnet add package NLog.Web.AspNetCore
dotnet add package NLog.Targets.ElasticSearch
新增nlog.config檔案
<?xml version="1.0" encoding="utf-8" ?>
<nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
autoReload="true"
internalLogLevel="Info"
internalLogFile="internal-nlog.txt">
<!-- enable asp.net core layout renderers -->
<extensions>
<add assembly="NLog.Web.AspNetCore"/>
</extensions>
<!-- the targets to write to -->
<targets>
<!-- write logs to file -->
<target xsi:type="File" name="allfile" fileName="/home/root/nlog-all-${shortdate}.log"
layout="${longdate}|${event-properties:item=EventId_Id}|${uppercase:${level}}|${logger}|${message} ${exception:format=tostring}" />
<!-- another file log, only own logs. Uses some ASP.NET core renderers -->
<target xsi:type="File" name="ownFile-web" fileName="/home/root/nlog-own-${shortdate}.log"
layout="${longdate}|${event-properties:item=EventId_Id}|${uppercase:${level}}|${logger}|${message} ${exception:format=tostring}|url: ${aspnet-request-url}|action: ${aspnet-mvc-action}" />
<target name="elastic" xsi:type="BufferingWrapper" flushTimeout="5000">
<target xsi:type="ElasticSearch" uri="http://localhost:9200/" />
</target>
</targets>
<!-- rules to map from logger name to target -->
<rules>
<!--All logs, including from Microsoft-->
<logger name="*" minlevel="Trace" writeTo="allfile" />
<!--Skip non-critical Microsoft logs and so log only own logs-->
<logger name="Microsoft.*" maxlevel="Info" final="true" />
<!-- BlackHole without writeTo -->
<logger name="*" minlevel="Trace" writeTo="ownFile-web" />
<logger name="*" minlevel="Info" writeTo="elastic" />
</rules>
</nlog>
ASP.NET Core新增Nlog並輸出日誌
public class Program
{
public static void Main(string[] args)
{
var webHost = WebHost.CreateDefaultBuilder(args)
.ConfigureLogging((hostingContext, loggingBuilder) =>
{
loggingBuilder.AddConsole(x => x.IncludeScopes = true).AddDebug();
})
.UseNLog()
.UseStartup<Startup>()
.Build();
webHost.Run();
}
}
Controller自定義日誌:
public class HomeController : Controller
{
private readonly ILogger<HomeController> _logger;
public HomeController(ILogger<HomeController> logger)
{
_logger = logger;
}
public IActionResult Index()
{
_logger.LogInformation("HomeController Index executed at {date}", DateTime.UtcNow);
return View();
}
public IActionResult Privacy()
{
return View();
}
[ResponseCache(Duration = 0, Location = ResponseCacheLocation.None, NoStore = true)]
public IActionResult Error()
{
return View(new ErrorViewModel { RequestId = Activity.Current?.Id ?? HttpContext.TraceIdentifier });
}
}
3.在kibana中建立Index Pattern
dotnet run啟動ASP.NET Core程式,現在開始產生日誌。
Kibana使用index pattern
從ElasticSearch indices
中獲取資料。要在Kibana中顯示日誌,需要先定義index pattern:
之後選擇@timestamp
時間過濾。
回到discovery介面,可以看到所有日誌。
ok,上面便於ASP.NETCOre+NLog整合ES、Kibana的基本操作流程,
看起來很簡單,其實只是九牛一毛,Elastic Stack的內功博大精深,關注我,解鎖各種姿勢。