PREVIEW
AWS Lambda with OpenTelemetry for .NET is still in development.
We have similar documentation for Java, but if you're using Python, Go, JavaScript, Ruby, or PHP for AWS Lambda with OpenTelemetry, you can use our Java or .NET documentation as a general guide to the setup. For additional information, see AWS Distro for OpenTelemetry.
This guide will cover how you can use OpenTelemetry Lambda to trace your .NET Lambda functions using AWS's managed OpenTelemetry Lambda Layers. OpenTelemetry makes it easy to instrument your functions, including automatic instrumentation for many popular libraries.
Prerequisites
This guide assumes you have the following:
- A New Relic account. If you don't have one, create one for free.
- An AWS account. If you don't have one, create one for free.
- A .NET Lambda Function. If you don't have one yet, create one now.
Important
Enabling X-Ray is no longer needed, because DisableAwsXRayContextExtraction
is set to true
in the AWS OTel .NET SDK for Lambda. You can find more details in the AWS OTel .NET SDK for Lambda Readme.
Install the layer
AWS publishes a managed layer that includes the OpenTelemetry Lambda Collector.
To install it:
Open your function in the Lambda Console.
Under Layers in the Designer section, choose Add a layer.
Under Specify an ARN, paste one of the layer ARNs for your function's architecture from the list below. Replace
{region}
with your AWS region, such asus-east-1
.Choose Add.
- AMD64 / X86_64:
arn:aws:lambda:{region}:901920570463:layer:aws-otel-collector-amd64-ver-0-90-1:1
- ARM64:
arn:aws:lambda:\<region>:901920570463:layer:aws-otel-collector-arm64-ver-0-90-1:1
For SAM and CloudFormation templates, add the following to your function's properties:
yourFunctionHere:Type: AWS::Serverless::FunctionProperties:# ...Layers:# Use this if using x86_64 architecture- !Sub arn:${AWS::Partition}:lambda:${AWS::Region}:901920570463:layer:aws-otel-collector-amd64-ver-0-90-1:1# Use this if using arm64 architecture- !Sub arn:${AWS::Partition}:lambda:${AWS::Region}:901920570463:layer:aws-otel-collector-arm64-ver-0-90-1:1Important
Refer to the latest ARNs published by AWS to verify the layer ARNs above are up to date.
- AMD64 / X86_64:
Add New Relic environment variables
To send the OpenTelemetry data that this layer collects to New Relic, we need to configure the OpenTelemetry Lambda Collector that is packaged with the layer to export the telemetry it receives to the New Relic OpenTelemetry Endpoint. Before we do that, we first need to set some environment variables that it will depend upon.
- Generate and copy a New Relic from your New Relic account.
- Open up your function in the Lambda Console.
- Choose Configuration and then Environment variables.
- Under Environment variables, choose Edit.
- Choose Add environment variable.
- For the Key set it to
NEW_RELIC_LICENSE_KEY
and set the Value to the value of the license key you generated in step 1. Then choose Save. - Choose Add environment variable again.
- For the Key set it to
NEW_RELIC_OPENTELEMETRY_ENDPOINT
and set the Value to one of the options below (depends on your New Relic region). Then choose Save. - Choose Add environment variable again.
- For the Key set it to
OTEL_SERVICE_NAME
and set the Value to your function's name. Then choose Save.
otlp.nr-data.net:4317
: If your New Relic account is in the US regionotlp.eu01.nr-data.net:4317
: If your New Relic account is in the EU regionFor SAM and CloudFormation templates, add the following to your function's properties. Be sure to replace
your-license-key-here
with your andotlp.nr-data.net:4317
with the New Relic OpenTelemetry Endpoint for your region.yourFunctionHere:Type: AWS::Serverless::FunctionProperties:# ...Environment:Variables:# ...NEW_RELIC_LICENSE_KEY: your-license-key-hereNEW_RELIC_OPENTELEMETRY_ENDPOINT: otlp.nr-data.net:4317OTEL_SERVICE_NAME: your-function-name-hereImportant
Replace
your-license-key-here
with your New Relic andotlp.nr-data.net:4317
with the endpoint appropriate for your New Relic region (see list above).
Configure the Collector
Now we will override the OpenTelemetry Lambda Collector's default configuration with one that exports telemetry to the New Relic OpenTelemetry Endpoint. To do this we must include a collector.yaml
config file with our function.
Create a collector.yaml
file in your function's root directory with the following contents:
receivers: otlp: protocols: grpc: http:
exporters: otlp: endpoint: ${NEW_RELIC_OPENTELEMETRY_ENDPOINT} headers: api-key: ${NEW_RELIC_LICENSE_KEY}
service: pipelines: traces: receivers: [otlp] exporters: [otlp] metrics: receivers: [otlp] exporters: [otlp] logs: receivers: [otlp] exporters: [otlp]
Bundle this collector.yaml
file in the root directory of your function's zip package.
An example *.csproj
config might look like this:
<ItemGroup> <Content Include="collector.yaml"> <CopyToOutputDirectory>Always</CopyToOutputDirectory> </Content> </ItemGroup>
Then re-deploy your function.
- Open your function in the Lambda Console.
- Choose Configuration and then Environment variables.
- Under Environment variables, choose Edit.
- Choose Add environment variable.
- For the Key set
OPENTELEMETRY_COLLECTOR_CONFIG_FILE
and set the Value to/var/task/collector.yaml
. - Then choose Save.
For SAM and CloudFormation templates, add this to your function's properties:
yourFunctionHere: Type: AWS::Serverless::Function Properties: # ... Environment: Variables: # ... OPENTELEMETRY_COLLECTOR_CONFIG_FILE: /var/task/collector.yaml
Important
This assumes you bundled your collector.yaml
in your function's root directory. If you bundled it somewhere else, replace /var/task/collector.yaml
with the path to your collector.yaml
.
Instrument Your Function
First add the OpenTelemetry SDK for AWS Lambda, as well as the OTLP exporter package. You can add more OpenTelemetry instrumentation packages, such as OpenTelemetry.Instrumentation.AWS and OpenTelemetry.Instrumentation.Http, to get additional visibility into your function's behavior.
$dotnet add package OpenTelemetry.Instrumentation.AWSLambda$dotnet add package OpenTelemetry.Exporter.OpenTelemetryProtocol$dotnet add package OpenTelemetry.Instrumentation.AWS$dotnet add package OpenTelemetry.Instrumentation.Http
Add calls to AddAWSLambdaConfigurations()
and AddOtlpExporter()
from TracerProvider
in your function's static constructor.
Important
Your function's constructor should be static, because the TracerProvider
should only be initialized once per Lambda cold start.
TracerProvider tracerProvider = Sdk.CreateTracerProviderBuilder() // add other instrumentations here .AddAWSLambdaConfigurations(options => options.DisableAwsXRayContextExtraction = true) .AddOtlpExporter() .Build();
Important
Be sure to set the DisableAwsXRayContextExtraction
property to true
if you don't enable X-Ray. Otherwise, traces will not be instrumented.
Create a wrapper function with the same signature as the original Lambda handler function. Call AWSLambdaWrapper.Trace()
API and pass TracerProvider
, the original Lambda function, and its inputs as parameters.
// new Lambda function handler passed inpublic string TracingFunctionHandler(JObject input, ILambdaContext context) => AWSLambdaWrapper.Trace(tracerProvider, OriginalFunctionHandler, input, context);
public string OriginalFunctionHandler(JObject input, ILambdaContext context) { return input?.ToString();}
If your original handler is an async function, use the TraceAsync()
API instead of Trace()
.
public Task<APIGatewayProxyResponse> TracingFunctionHandler(APIGatewayProxyRequest request, ILambdaContext context) => AWSLambdaWrapper.TraceAsync(tracerProvider, OriginalFunctionHandler, request, context);
public async Task<APIGatewayProxyResponse> OriginalFunctionHandler(APIGatewayProxyRequest apigProxyEvent, ILambdaContext context){ //your function here.}
For example, a basic API Gateway Lambda function would look like this:
using System;using Amazon.Lambda.APIGatewayEvents;using Amazon.Lambda.Core;using OpenTelemetry;using OpenTelemetry.Instrumentation.AWSLambda;using OpenTelemetry.Trace;
namespace Example{ public class Function { public static TracerProvider tracerProvider;
static Function() { tracerProvider = Sdk.CreateTracerProviderBuilder() .AddAWSLambdaConfigurations(options => options.DisableAwsXRayContextExtraction = true) .AddOtlpExporter() .Build();
// use AwsSdkSample::AwsSdkSample.Function::TracingFunctionHandler as input Lambda handler instead public APIGatewayProxyResponse TracingFunctionHandler(APIGatewayProxyRequest request, ILambdaContext context) { return AWSLambdaWrapper.Trace(tracerProvider, FunctionHandler, request, context); }
/// <summary> /// A simple function that takes a APIGatewayProxyRequest and returns a APIGatewayProxyResponse /// </summary> /// <param name="input"></param> /// <param name="context"></param> /// <returns></returns> public APIGatewayProxyResponse FunctionHandler(APIGatewayProxyRequest request, ILambdaContext context) { return new APIGatewayProxyResponse() { StatusCode = 200, Body = Environment.GetEnvironmentVariable("_X_AMZN_TRACE_ID") }; } } }}
Then set the wrapper function as the Lambda function's handler. For the class above, the handler would be function::Example.Function::TracingFunctionHandler
.
For a working example, including tracing the AWS SDK, see this sample app.
The above is just a basic example, for more advanced instrumentation refer to the OpenTelemetry .NET SDK documentation.
View your data in the New Relic UI
First you will want to invoke your Lambda function a few times to start generating telemetry. From there, head over to New Relic to find your traces, metrics, and logs.
Your telemetry will not appear under New Relic Serverless. Instead, you will find your telemetry data under the New Relic OpenTelemetry Nerdlets.
Distributed Tracing
In some cases you may see fragmented distributed traces within New Relic with this configuration. This occurs when a trace starts or involves a service that is outside the ADOT context (for example, a managed AWS service). Spans from that service are created by X-Ray, not OpenTelemetry, and ADOT does not forward them to New Relic. Although the traces appear fragmented, they still provide complete insight into performance within the Lambda function as well as other services whose spans were forwarded to New Relic.
More information
For more information, check out the New Relic OpenTelemetry quick start.