var builder = WebApplication.CreateBuilder(args);
// Add the OpenTelemetry telemetry service to the application.
// This service will collect and send telemetry data to Azure Monitor.
builder.Services.AddOpenTelemetry().UseAzureMonitor(options => {
options.ConnectionString = "<Your Connection String>";
});
var app = builder.Build();
app.Run();
// Create a new OpenTelemetry tracer provider.
// It is important to keep the TracerProvider instance active throughout the process lifetime.
var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddAzureMonitorTraceExporter(options =>
{
options.ConnectionString = "<Your Connection String>";
})
.Build();
// Create a new OpenTelemetry meter provider.
// It is important to keep the MetricsProvider instance active throughout the process lifetime.
var metricsProvider = Sdk.CreateMeterProviderBuilder()
.AddAzureMonitorMetricExporter(options =>
{
options.ConnectionString = "<Your Connection String>";
})
.Build();
// Create a new logger factory.
// It is important to keep the LoggerFactory instance active throughout the process lifetime.
var loggerFactory = LoggerFactory.Create(builder =>
{
builder.AddOpenTelemetry(logging =>
{
logging.AddAzureMonitorLogExporter(options =>
{
options.ConnectionString = "<Your Connection String>";
});
});
});
// Import the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions class from the @azure/monitor-opentelemetry package.
const { useAzureMonitor, AzureMonitorOpenTelemetryOptions } = require("@azure/monitor-opentelemetry");
// Create a new AzureMonitorOpenTelemetryOptions object.
const options: AzureMonitorOpenTelemetryOptions = {
azureMonitorExporterOptions: {
connectionString: "<your connection string>"
}
};
// Enable Azure Monitor integration using the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions object.
useAzureMonitor(options);
# Import the `configure_azure_monitor()` function from the `azure.monitor.opentelemetry` package.
from azure.monitor.opentelemetry import configure_azure_monitor
# Configure OpenTelemetry to use Azure Monitor with the specified connection string.
# Replace `<your-connection-string>` with the connection string of your Azure Monitor Application Insights resource.
configure_azure_monitor(
connection_string="<your-connection-string>",
)
// Setting role name and role instance
// Create a dictionary of resource attributes.
var resourceAttributes = new Dictionary<string, object> {
{ "service.name", "my-service" },
{ "service.namespace", "my-namespace" },
{ "service.instance.id", "my-instance" }};
// Create a new ASP.NET Core web application builder.
var builder = WebApplication.CreateBuilder(args);
// Add the OpenTelemetry telemetry service to the application.
// This service will collect and send telemetry data to Azure Monitor.
builder.Services.AddOpenTelemetry()
.UseAzureMonitor()
// Configure the ResourceBuilder to add the custom resource attributes to all signals.
// Custom resource attributes should be added AFTER AzureMonitor to override the default ResourceDetectors.
.ConfigureResource(resourceBuilder => resourceBuilder.AddAttributes(_testResourceAttributes));
// Build the ASP.NET Core web application.
var app = builder.Build();
// Start the ASP.NET Core web application.
app.Run();
// Setting role name and role instance
// Create a dictionary of resource attributes.
var resourceAttributes = new Dictionary<string, object> {
{ "service.name", "my-service" },
{ "service.namespace", "my-namespace" },
{ "service.instance.id", "my-instance" }};
// Create a resource builder.
var resourceBuilder = ResourceBuilder.CreateDefault().AddAttributes(resourceAttributes);
// Create a new OpenTelemetry tracer provider and set the resource builder.
// It is important to keep the TracerProvider instance active throughout the process lifetime.
var tracerProvider = Sdk.CreateTracerProviderBuilder()
// Set ResourceBuilder on the TracerProvider.
.SetResourceBuilder(resourceBuilder)
.AddAzureMonitorTraceExporter()
.Build();
// Create a new OpenTelemetry meter provider and set the resource builder.
// It is important to keep the MetricsProvider instance active throughout the process lifetime.
var metricsProvider = Sdk.CreateMeterProviderBuilder()
// Set ResourceBuilder on the MeterProvider.
.SetResourceBuilder(resourceBuilder)
.AddAzureMonitorMetricExporter()
.Build();
// Create a new logger factory and add the OpenTelemetry logger provider with the resource builder.
// It is important to keep the LoggerFactory instance active throughout the process lifetime.
var loggerFactory = LoggerFactory.Create(builder =>
{
builder.AddOpenTelemetry(logging =>
{
// Set ResourceBuilder on the Logging config.
logging.SetResourceBuilder(resourceBuilder);
logging.AddAzureMonitorLogExporter();
});
});
// Import the useAzureMonitor function, the AzureMonitorOpenTelemetryOptions class, the Resource class, and the SemanticResourceAttributes class from the @azure/monitor-opentelemetry, @opentelemetry/resources, and @opentelemetry/semantic-conventions packages, respectively.
const { useAzureMonitor, AzureMonitorOpenTelemetryOptions } = require("@azure/monitor-opentelemetry");
const { Resource } = require("@opentelemetry/resources");
const { SemanticResourceAttributes } = require("@opentelemetry/semantic-conventions");
// Create a new Resource object with the following custom resource attributes:
//
// * service_name: my-service
// * service_namespace: my-namespace
// * service_instance_id: my-instance
const customResource = new Resource({
[SemanticResourceAttributes.SERVICE_NAME]: "my-service",
[SemanticResourceAttributes.SERVICE_NAMESPACE]: "my-namespace",
[SemanticResourceAttributes.SERVICE_INSTANCE_ID]: "my-instance",
});
// Create a new AzureMonitorOpenTelemetryOptions object and set the resource property to the customResource object.
const options: AzureMonitorOpenTelemetryOptions = {
resource: customResource
};
// Enable Azure Monitor integration using the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions object.
useAzureMonitor(options);
// Create a new ASP.NET Core web application builder.
var builder = WebApplication.CreateBuilder(args);
// Add the OpenTelemetry telemetry service to the application.
// This service will collect and send telemetry data to Azure Monitor.
builder.Services.AddOpenTelemetry().UseAzureMonitor(options =>
{
// Set the sampling ratio to 10%. This means that 10% of all traces will be sampled and sent to Azure Monitor.
options.SamplingRatio = 0.1F;
});
// Build the ASP.NET Core web application.
var app = builder.Build();
// Start the ASP.NET Core web application.
app.Run();
采样器需要 0 到 1 之间（含）的采样率。 0.1 意味着会发送大约 10% 的跟踪。
// Create a new OpenTelemetry tracer provider.
// It is important to keep the TracerProvider instance active throughout the process lifetime.
var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddAzureMonitorTraceExporter(options =>
{
// Set the sampling ratio to 10%. This means that 10% of all traces will be sampled and sent to Azure Monitor.
options.SamplingRatio = 0.1F;
})
.Build();
// Import the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions class from the @azure/monitor-opentelemetry package.
const { useAzureMonitor, AzureMonitorOpenTelemetryOptions } = require("@azure/monitor-opentelemetry");
// Create a new AzureMonitorOpenTelemetryOptions object and set the samplingRatio property to 0.1.
const options: AzureMonitorOpenTelemetryOptions = {
samplingRatio: 0.1
};
// Enable Azure Monitor integration using the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions object.
useAzureMonitor(options);
// Create a new ASP.NET Core web application builder.
var builder = WebApplication.CreateBuilder(args);
// Add the OpenTelemetry telemetry service to the application.
// This service will collect and send telemetry data to Azure Monitor.
builder.Services.AddOpenTelemetry().UseAzureMonitor(options =>
{
// Set the Azure Monitor storage directory to "C:\\SomeDirectory".
// This is the directory where the OpenTelemetry SDK will store any telemetry data that cannot be sent to Azure Monitor immediately.
options.StorageDirectory = "C:\\SomeDirectory";
});
// Build the ASP.NET Core web application.
var app = builder.Build();
// Start the ASP.NET Core web application.
app.Run();
// Create a new OpenTelemetry tracer provider and set the storage directory.
// It is important to keep the TracerProvider instance active throughout the process lifetime.
var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddAzureMonitorTraceExporter(options =>
{
// Set the Azure Monitor storage directory to "C:\\SomeDirectory".
// This is the directory where the OpenTelemetry SDK will store any trace data that cannot be sent to Azure Monitor immediately.
options.StorageDirectory = "C:\\SomeDirectory";
})
.Build();
// Create a new OpenTelemetry meter provider and set the storage directory.
// It is important to keep the MetricsProvider instance active throughout the process lifetime.
var metricsProvider = Sdk.CreateMeterProviderBuilder()
.AddAzureMonitorMetricExporter(options =>
{
// Set the Azure Monitor storage directory to "C:\\SomeDirectory".
// This is the directory where the OpenTelemetry SDK will store any metric data that cannot be sent to Azure Monitor immediately.
options.StorageDirectory = "C:\\SomeDirectory";
})
.Build();
// Create a new logger factory and add the OpenTelemetry logger provider with the storage directory.
// It is important to keep the LoggerFactory instance active throughout the process lifetime.
var loggerFactory = LoggerFactory.Create(builder =>
{
builder.AddOpenTelemetry(logging =>
{
logging.AddAzureMonitorLogExporter(options =>
{
// Set the Azure Monitor storage directory to "C:\\SomeDirectory".
// This is the directory where the OpenTelemetry SDK will store any log data that cannot be sent to Azure Monitor immediately.
options.StorageDirectory = "C:\\SomeDirectory";
});
});
});
// Import the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions class from the @azure/monitor-opentelemetry package.
const { useAzureMonitor, AzureMonitorOpenTelemetryOptions } = require("@azure/monitor-opentelemetry");
// Create a new AzureMonitorOpenTelemetryOptions object and set the azureMonitorExporterOptions property to an object with the following properties:
//
// * connectionString: The connection string for your Azure Monitor Application Insights resource.
// * storageDirectory: The directory where the Azure Monitor OpenTelemetry exporter will store telemetry data when it is offline.
// * disableOfflineStorage: A boolean value that specifies whether to disable offline storage.
const options: AzureMonitorOpenTelemetryOptions = {
azureMonitorExporterOptions: {
connectionString: "<Your Connection String>",
storageDirectory: "C:\\SomeDirectory",
disableOfflineStorage: false
}
};
// Enable Azure Monitor integration using the useAzureMonitor function and the AzureMonitorOpenTelemetryOptions object.
useAzureMonitor(options);
...
# Configure OpenTelemetry to use Azure Monitor with the specified connection string and storage directory.
# Replace `your-connection-string` with the connection string to your Azure Monitor Application Insights resource.
# Replace `C:\\SomeDirectory` with the directory where you want to store the telemetry data before it is sent to Azure Monitor.
configure_azure_monitor(
connection_string="your-connection-string",
storage_directory="C:\\SomeDirectory",
)
...
...
# Configure OpenTelemetry to use Azure Monitor with the specified connection string and disable offline storage.
# Replace `your-connection-string` with the connection string to your Azure Monitor Application Insights resource.
configure_azure_monitor(
connection_string="your-connection-string",
disable_offline_storage=True,
)
...
// Create a new ASP.NET Core web application builder.
var builder = WebApplication.CreateBuilder(args);
// Add the OpenTelemetry telemetry service to the application.
// This service will collect and send telemetry data to Azure Monitor.
builder.Services.AddOpenTelemetry().UseAzureMonitor();
// Add the OpenTelemetry OTLP exporter to the application.
// This exporter will send telemetry data to an OTLP receiver, such as Prometheus
builder.Services.AddOpenTelemetry().WithTracing(builder => builder.AddOtlpExporter());
builder.Services.AddOpenTelemetry().WithMetrics(builder => builder.AddOtlpExporter());
// Build the ASP.NET Core web application.
var app = builder.Build();
// Start the ASP.NET Core web application.
app.Run();
// Create a new OpenTelemetry tracer provider and add the Azure Monitor trace exporter and the OTLP trace exporter.
// It is important to keep the TracerProvider instance active throughout the process lifetime.
var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddAzureMonitorTraceExporter()
.AddOtlpExporter()
.Build();
// Create a new OpenTelemetry meter provider and add the Azure Monitor metric exporter and the OTLP metric exporter.
// It is important to keep the MetricsProvider instance active throughout the process lifetime.
var metricsProvider = Sdk.CreateMeterProviderBuilder()
.AddAzureMonitorMetricExporter()
.AddOtlpExporter()
.Build();
# Import the `configure_azure_monitor()`, `trace`, `OTLPSpanExporter`, and `BatchSpanProcessor` classes from the appropriate packages.
from azure.monitor.opentelemetry import configure_azure_monitor
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace.export import BatchSpanProcessor
# Configure OpenTelemetry to use Azure Monitor with the specified connection string.
# Replace `<your-connection-string>` with the connection string to your Azure Monitor Application Insights resource.
configure_azure_monitor(
connection_string="<your-connection-string>",
)
# Get the tracer for the current module.
tracer = trace.get_tracer(__name__)
# Create an OTLP span exporter that sends spans to the specified endpoint.
# Replace `http://localhost:4317` with the endpoint of your OTLP collector.
otlp_exporter = OTLPSpanExporter(endpoint="http://localhost:4317")
# Create a batch span processor that uses the OTLP span exporter.
span_processor = BatchSpanProcessor(otlp_exporter)
# Add the batch span processor to the tracer provider.
trace.get_tracer_provider().add_span_processor(span_processor)
# Start a new span with the name "test".
with tracer.start_as_current_span("test"):
print("Hello world!")