1. 什么是 OpenObserve?
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OpenObserve 是一个开源的可观测性平台(支持日志、指标、追踪),旨在成为 Elasticsearch/Datadog 的轻量级替代方案。
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它支持通过 OpenTelemetry(OTLP)协议接收数据。
2. 搭建 OpenObserve
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docker 本地运行或部署 OpenObserve(参考 官方文档):
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docker run -d --name openobserve -p 5080:5080 -e ZO_ROOT_USER_EMAIL="root@example.com" -e ZO_ROOT_USER_PASSWORD="root123" public.ecr.aws/zinclabs/openobserve:latest
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访问
http://localhost:5080(默认账号:root@example.com,密码:root123)。
3. .NET Core 的 OpenTelemetry 配置
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安装必要的 NuGet 包:
4. 在 .NET Core 中配置 OpenTelemetry
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var builder = WebApplication.CreateBuilder(args);<br> //base
var credentials = Convert.ToBase64String(Encoding.UTF8.GetBytes( "root@example.com:root123" ));
// 配置OpenTelemetry 日志Log
builder.Logging.ClearProviders();
var resourceBuilder = ResourceBuilder.CreateDefault()
.AddService( "xxxapi" )
.AddAttributes( new Dictionary< string , object >
{
[ "environment" ] = "development" ,
[ "service.version" ] = "1.0.0"
});
builder.Logging.AddOpenTelemetry(logging => {
logging.IncludeFormattedMessage = true ;
logging.SetResourceBuilder(resourceBuilder)
.AddConsoleExporter() // Keep console logging for debugging
.AddOtlpExporter(otlpOptions => {
otlpOptions.BatchExportProcessorOptions = new BatchExportProcessorOptions<Activity>
{
MaxQueueSize = 100, // 减小队列避免堆积
MaxExportBatchSize = 10, // 减小批量大小
ScheduledDelayMilliseconds = 500, // 更频繁导出
};
otlpOptions.Endpoint = new Uri( "http://localhost:5080/api/default/v1/logs" );
otlpOptions.Headers = $ "Authorization=Basic {credentials}" ;
otlpOptions.Protocol = OpenTelemetry.Exporter.OtlpExportProtocol.HttpProtobuf;
});
});
// Add services to the container.
builder.Services.AddControllers();
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen(c =>
{
c.SwaggerDoc( "v1" , new OpenApiInfo { Title = "xxx API" , Version = "v1" });
});
builder.Services.AddHttpClient();
// 配置 OpenTelemetry 追踪Tracing
builder.Services.AddOpenTelemetry()
.WithTracing(builder => builder
.SetResourceBuilder(resourceBuilder)
.AddSource( "xxxapi" )
.AddAspNetCoreInstrumentation()
.AddHttpClientInstrumentation()
.AddOtlpExporter(opts =>
{
opts.Endpoint = new Uri( "http://localhost:5080/api/default/v1/traces" );
opts.Headers = $ "Authorization=Basic {credentials}" ;
opts.Protocol = OpenTelemetry.Exporter.OtlpExportProtocol.HttpProtobuf;
}));
var app = builder.Build();
// Configure the HTTP request pipeline.
if (app.Environment.IsDevelopment())
{
app.UseSwagger();
app.UseSwaggerUI(c => c.SwaggerEndpoint( "/swagger/v1/swagger.json" , "xxx API v1" ));
}
app.UseHttpsRedirection();
app.UseAuthorization();
app.MapControllers();
app.Run();
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5. 关键细节
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OTLP 端点:OpenObserve 使用
/api/default/接收 OTLP 数据。 -
认证:默认使用基本认证(账号
root@example.com,密码root123)。需将凭据编码为 Base64:123// 将 "root@example.com:root123" 转为 Base64varcredentials = Convert.ToBase64String(Encoding.UTF8.GetBytes("root@example.com:root123"));opt.Headers = $"Authorization=Basic {credentials}"; -
数据类型:上述配置会向 OpenObserve 发送追踪(Traces)、指标(Metrics)和日志(Logs)。
6. 在 OpenObserve 中验证数据
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访问
http://localhost:5080:-
日志:在 Logs Explorer 中查看。
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追踪:在 Traces Explorer 中查看。
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指标:在 Metrics Explorer 中查看。
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7. 故障排除
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确保 OpenObserve 正在运行。
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检查 OTLP 端点和认证头是否正确。
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启用 OpenTelemetry 的诊断输出(调试用):
logging.AddConsoleExporter() //将日志数据输出到控制台
tracing.AddConsoleExporter() //将追踪数据输出到控制台
更多参考:
- https://github.com/openobserve/dotnet-opentelemetry-tracing-application.git
原创作者: honglinjia 转载于: https://www.cnblogs.com/honglinjia/p/18803657
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